[{"abstract":[{"lang":"eng","text":"Glacier health across High Mountain Asia (HMA) is highly heterogeneous and strongly governed by regional climate, which is variably influenced by monsoon dynamics and the westerlies. We explore four decades of glacier energy and mass balance at three climatically distinct sites across HMA by utilising a detailed land surface model driven by bias-corrected Weather Research and Forecasting meteorological forcing. All three glaciers have experienced long-term mass losses (ranging from −0.04 ± 0.09 to −0.59 ± 0.20 m w.e. a−1) consistent with widespread warming across the region. However, complex and contrasting responses of glacier energy and mass balance to the patterns of the Indian Summer Monsoon were evident, largely driven by the role snowfall timing, amount and phase. A later monsoon onset generates less total snowfall to the glacier in the southeastern Tibetan Plateau during May–June, augmenting net shortwave radiation and affecting annual mass balance (−0.5 m w.e. on average compared to early onset years). Conversely, timing of the monsoon’s arrival has limited impact for the Nepalese Himalaya which is more strongly governed by the temperature and snowfall amount during the core monsoon season. In the arid central Tibetan Plateau, a later monsoon arrival results in a 40 mm (58%) increase of May–June snowfall on average compared to early onset years, likely driven by the greater interaction of westerly storm events. Meanwhile, a late monsoon cessation at this site sees an average 200 mm (192%) increase in late summer precipitation due to monsoonal storms. A trend towards weaker intensity monsoon conditions in recent decades, combined with long-term warming patterns, has produced predominantly negative glacier mass balances for all sites (up to 1 m w.e. more mass loss in the Nepalese Himalaya compared to strong monsoon intensity years) but sub-regional variability in monsoon timing can additionally complicate this response."}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1088/1748-9326/ac9008"}],"das_tickbox":"1","status":"public","day":"16","keyword":["Glacier","Long-term mass balance","Monsoon","Snowfall"],"article_type":"letter_note","extern":"1","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","doi":"10.1088/1748-9326/ac9008","quality_controlled":"1","date_published":"2022-09-16T00:00:00Z","scopus_import":"1","date_created":"2026-07-27T12:30:24Z","publisher":"IOP Publishing","issue":"10","type":"journal_article","article_processing_charge":"No","year":"2022","oa_version":"Published Version","publication_identifier":{"eissn":["1748-9326"]},"language":[{"iso":"eng"}],"author":[{"last_name":"Shaw","full_name":"Shaw, T E","first_name":"T E"},{"last_name":"Miles","full_name":"Miles, E S","first_name":"E S"},{"full_name":"Chen, D","last_name":"Chen","first_name":"D"},{"last_name":"Jouberton","full_name":"Jouberton, A","first_name":"A"},{"first_name":"M","full_name":"Kneib, M","last_name":"Kneib"},{"first_name":"S","full_name":"Fugger, S","last_name":"Fugger"},{"first_name":"T","last_name":"Ou","full_name":"Ou, T"},{"first_name":"H-W","full_name":"Lai, H-W","last_name":"Lai"},{"first_name":"K","last_name":"Fujita","full_name":"Fujita, K"},{"full_name":"Yang, W","last_name":"Yang","first_name":"W"},{"first_name":"Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","full_name":"Fatichi, Simone","last_name":"Fatichi"},{"full_name":"Pellicciotti, F","last_name":"Pellicciotti","first_name":"F"}],"DOAJ_listed":"1","citation":{"apa":"Shaw, T. E., Miles, E. S., Chen, D., Jouberton, A., Kneib, M., Fugger, S., … Pellicciotti, F. (2022). Multi-decadal monsoon characteristics and glacier response in High Mountain Asia. <i>Environmental Research Letters</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/1748-9326/ac9008\">https://doi.org/10.1088/1748-9326/ac9008</a>","ista":"Shaw TE, Miles ES, Chen D, Jouberton A, Kneib M, Fugger S, Ou T, Lai H-W, Fujita K, Yang W, Fatichi S, Pellicciotti F. 2022. Multi-decadal monsoon characteristics and glacier response in High Mountain Asia. Environmental Research Letters. 17(10), 104001.","ieee":"T. E. Shaw <i>et al.</i>, “Multi-decadal monsoon characteristics and glacier response in High Mountain Asia,” <i>Environmental Research Letters</i>, vol. 17, no. 10. IOP Publishing, 2022.","short":"T.E. Shaw, E.S. Miles, D. Chen, A. Jouberton, M. Kneib, S. Fugger, T. Ou, H.-W. Lai, K. Fujita, W. Yang, S. Fatichi, F. Pellicciotti, Environmental Research Letters 17 (2022).","mla":"Shaw, T. E., et al. “Multi-Decadal Monsoon Characteristics and Glacier Response in High Mountain Asia.” <i>Environmental Research Letters</i>, vol. 17, no. 10, 104001, IOP Publishing, 2022, doi:<a href=\"https://doi.org/10.1088/1748-9326/ac9008\">10.1088/1748-9326/ac9008</a>.","chicago":"Shaw, T E, E S Miles, D Chen, A Jouberton, M Kneib, S Fugger, T Ou, et al. “Multi-Decadal Monsoon Characteristics and Glacier Response in High Mountain Asia.” <i>Environmental Research Letters</i>. IOP Publishing, 2022. <a href=\"https://doi.org/10.1088/1748-9326/ac9008\">https://doi.org/10.1088/1748-9326/ac9008</a>.","ama":"Shaw TE, Miles ES, Chen D, et al. Multi-decadal monsoon characteristics and glacier response in High Mountain Asia. <i>Environmental Research Letters</i>. 2022;17(10). doi:<a href=\"https://doi.org/10.1088/1748-9326/ac9008\">10.1088/1748-9326/ac9008</a>"},"publication_status":"published","article_number":"104001","publication":"Environmental Research Letters","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"intvolume":"        17","title":"Multi-decadal monsoon characteristics and glacier response in High Mountain Asia","month":"09","volume":17,"oa":1,"OA_place":"publisher","OA_type":"gold","_id":"22519","date_updated":"2026-08-06T11:38:33Z"},{"publisher":"Copernicus Publications","date_created":"2026-07-27T12:30:24Z","scopus_import":"1","quality_controlled":"1","date_published":"2022-05-05T00:00:00Z","type":"journal_article","issue":"5","doi":"10.5194/tc-16-1631-2022","extern":"1","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","article_type":"original","day":"05","status":"public","das_tickbox":"1","main_file_link":[{"url":"https://doi.org/10.5194/tc-16-1631-2022","open_access":"1"}],"abstract":[{"text":"The Indian and East Asian summer monsoons shape the melt and accumulation patterns of glaciers in High Mountain Asia in complex ways due to the interaction of persistent cloud cover, large temperature ranges, high atmospheric water content and high precipitation rates. Glacier energy- and mass-balance modelling using in situ measurements offers insights into the ways in which surface processes are shaped by climatic regimes. In this study, we use a full energy- and mass-balance model and seven on-glacier automatic weather station datasets from different parts of the Central and Eastern Himalaya to investigate how monsoon conditions influence the glacier surface energy and mass balance. In particular, we look at how debris-covered and debris-free glaciers respond differently to monsoonal conditions. The radiation budget primarily controls the melt of clean-ice glaciers, but turbulent fluxes play an important role in modulating the melt energy on debris-covered glaciers. The sensible heat flux decreases during core monsoon, but the latent heat flux cools the surface due to evaporation of liquid water. This interplay of radiative and turbulent fluxes causes debris-covered glacier melt rates to stay almost constant through the different phases of the monsoon. Ice melt under thin debris, on the other hand, is amplified by both the dark surface and the turbulent fluxes, which intensify melt during monsoon through surface heating and condensation. Pre-monsoon snow cover can considerably delay melt onset and have a strong impact on the seasonal mass balance. Intermittent monsoon snow cover lowers the melt rates at high elevation. This work is fundamental to the understanding of the present and future Himalayan cryosphere and water budget, while informing and motivating further glacier- and catchment-scale research using process-based models.The radiation budget primarily controls the melt of clean-ice glaciers, but turbulent fluxes play an important role in modulating the melt energy on debris-covered glaciers. The sensible heat flux decreases during core monsoon, but the latent heat flux cools the surface due to evaporation of liquid water. This interplay of radiative and turbulent fluxes causes debris-covered glacier melt rates to stay almost constant through the different phases of the monsoon. Ice melt under thin debris, on the other hand, is amplified by both the dark surface and the turbulent fluxes, which intensify melt during monsoon through surface heating and condensation.\r\nPre-monsoon snow cover can considerably delay melt onset and have a strong impact on the seasonal mass balance. Intermittent monsoon snow cover lowers the melt rates at high elevation. This work is fundamental to the understanding of the present and future Himalayan cryosphere and water budget, while informing and motivating further glacier- and catchment-scale research using process-based models.</jats:p>","lang":"eng"}],"OA_type":"gold","OA_place":"publisher","date_updated":"2026-08-06T11:17:17Z","_id":"22502","title":"Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya","intvolume":"        16","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"volume":16,"month":"05","DOAJ_listed":"1","author":[{"last_name":"Fugger","full_name":"Fugger, Stefan","first_name":"Stefan"},{"first_name":"Catriona L.","full_name":"Fyffe, Catriona L.","last_name":"Fyffe"},{"full_name":"Fatichi, Simone","last_name":"Fatichi","first_name":"Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6"},{"first_name":"Evan","full_name":"Miles, Evan","last_name":"Miles"},{"last_name":"McCarthy","full_name":"McCarthy, Michael","first_name":"Michael"},{"first_name":"Thomas E.","last_name":"Shaw","full_name":"Shaw, Thomas E."},{"full_name":"Ding, Baohong","last_name":"Ding","first_name":"Baohong"},{"full_name":"Yang, Wei","last_name":"Yang","first_name":"Wei"},{"first_name":"Patrick","last_name":"Wagnon","full_name":"Wagnon, Patrick"},{"first_name":"Walter","full_name":"Immerzeel, Walter","last_name":"Immerzeel"},{"first_name":"Qiao","last_name":"Liu","full_name":"Liu, Qiao"},{"first_name":"Francesca","last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1994-0424"]},"publication":"The Cryosphere","publication_status":"published","citation":{"chicago":"Fugger, Stefan, Catriona L. Fyffe, Simone Fatichi, Evan Miles, Michael McCarthy, Thomas E. Shaw, Baohong Ding, et al. “Understanding Monsoon Controls on the Energy and Mass Balance of Glaciers in the Central and Eastern Himalaya.” <i>The Cryosphere</i>. Copernicus Publications, 2022. <a href=\"https://doi.org/10.5194/tc-16-1631-2022\">https://doi.org/10.5194/tc-16-1631-2022</a>.","ama":"Fugger S, Fyffe CL, Fatichi S, et al. Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya. <i>The Cryosphere</i>. 2022;16(5):1631-1652. doi:<a href=\"https://doi.org/10.5194/tc-16-1631-2022\">10.5194/tc-16-1631-2022</a>","mla":"Fugger, Stefan, et al. “Understanding Monsoon Controls on the Energy and Mass Balance of Glaciers in the Central and Eastern Himalaya.” <i>The Cryosphere</i>, vol. 16, no. 5, Copernicus Publications, 2022, pp. 1631–52, doi:<a href=\"https://doi.org/10.5194/tc-16-1631-2022\">10.5194/tc-16-1631-2022</a>.","short":"S. Fugger, C.L. Fyffe, S. Fatichi, E. Miles, M. McCarthy, T.E. Shaw, B. Ding, W. Yang, P. Wagnon, W. Immerzeel, Q. Liu, F. Pellicciotti, The Cryosphere 16 (2022) 1631–1652.","ieee":"S. Fugger <i>et al.</i>, “Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya,” <i>The Cryosphere</i>, vol. 16, no. 5. Copernicus Publications, pp. 1631–1652, 2022.","apa":"Fugger, S., Fyffe, C. L., Fatichi, S., Miles, E., McCarthy, M., Shaw, T. E., … Pellicciotti, F. (2022). Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya. <i>The Cryosphere</i>. Copernicus Publications. <a href=\"https://doi.org/10.5194/tc-16-1631-2022\">https://doi.org/10.5194/tc-16-1631-2022</a>","ista":"Fugger S, Fyffe CL, Fatichi S, Miles E, McCarthy M, Shaw TE, Ding B, Yang W, Wagnon P, Immerzeel W, Liu Q, Pellicciotti F. 2022. Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya. The Cryosphere. 16(5), 1631–1652."},"year":"2022","article_processing_charge":"No","oa_version":"Published Version","page":"1631-1652"},{"month":"09","volume":58,"intvolume":"        58","title":"On the uncertainty induced by pedotransfer functions in terrestrial biosphere modeling","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_updated":"2026-08-06T11:26:11Z","_id":"22515","OA_place":"publisher","OA_type":"hybrid","oa_version":"Published Version","year":"2022","article_processing_charge":"No","publication":"Water Resources Research","citation":{"short":"A. Paschalis, S. Bonetti, Y. Guo, S. Fatichi, Water Resources Research 58 (2022).","ieee":"A. Paschalis, S. Bonetti, Y. Guo, and S. Fatichi, “On the uncertainty induced by pedotransfer functions in terrestrial biosphere modeling,” <i>Water Resources Research</i>, vol. 58, no. 9. American Geophysical Union, 2022.","apa":"Paschalis, A., Bonetti, S., Guo, Y., &#38; Fatichi, S. (2022). On the uncertainty induced by pedotransfer functions in terrestrial biosphere modeling. <i>Water Resources Research</i>. American Geophysical Union. <a href=\"https://doi.org/10.1029/2021wr031871\">https://doi.org/10.1029/2021wr031871</a>","ista":"Paschalis A, Bonetti S, Guo Y, Fatichi S. 2022. On the uncertainty induced by pedotransfer functions in terrestrial biosphere modeling. Water Resources Research. 58(9), e2021WR031871.","ama":"Paschalis A, Bonetti S, Guo Y, Fatichi S. On the uncertainty induced by pedotransfer functions in terrestrial biosphere modeling. <i>Water Resources Research</i>. 2022;58(9). doi:<a href=\"https://doi.org/10.1029/2021wr031871\">10.1029/2021wr031871</a>","chicago":"Paschalis, Athanasios, Sara Bonetti, Yanran Guo, and Simone Fatichi. “On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling.” <i>Water Resources Research</i>. American Geophysical Union, 2022. <a href=\"https://doi.org/10.1029/2021wr031871\">https://doi.org/10.1029/2021wr031871</a>.","mla":"Paschalis, Athanasios, et al. “On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling.” <i>Water Resources Research</i>, vol. 58, no. 9, e2021WR031871, American Geophysical Union, 2022, doi:<a href=\"https://doi.org/10.1029/2021wr031871\">10.1029/2021wr031871</a>."},"article_number":"e2021WR031871","publication_status":"published","author":[{"first_name":"Athanasios","full_name":"Paschalis, Athanasios","last_name":"Paschalis"},{"first_name":"Sara","full_name":"Bonetti, Sara","last_name":"Bonetti"},{"full_name":"Guo, Yanran","last_name":"Guo","first_name":"Yanran"},{"first_name":"Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","full_name":"Fatichi, Simone","last_name":"Fatichi"}],"publication_identifier":{"issn":["0043-1397"],"eissn":["1944-7973"]},"language":[{"iso":"eng"}],"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","extern":"1","doi":"10.1029/2021wr031871","article_type":"original","issue":"9","type":"journal_article","scopus_import":"1","date_created":"2026-07-27T12:30:24Z","publisher":"American Geophysical Union","date_published":"2022-09-01T00:00:00Z","quality_controlled":"1","das_tickbox":"1","status":"public","main_file_link":[{"url":"https://doi.org/10.1029/2021WR031871"}],"abstract":[{"text":"Hydrological, ecohydrological, and terrestrial biosphere models depend on pedotransferfunctions for computing soil hydraulic parameters based on easily measurable variables, such as soil texturaland physical properties. Several pedotransfer functions have been derived in the last few decades, providingdivergent estimates of soil hydraulic parameters. In this study, we quantify how uncertainties embedded inusing different pedotransfer functions propagate to ecosystem dynamics, including simulated hydrologicalfluxes and vegetation response to water availability. Using a state-of-the-art ecohydrological model applied at79 sites worldwide, we show that uncertainties related to pedotransfer functions can affect both hydrologicaland vegetation dynamics. Uncertainties in evapotranspiration, plant productivity, and vegetation structure,quantified as leaf area, are in the order of ∼10% at annual time scales. Runoff and groundwater rechargeuncertainties are one order of magnitude larger. All uncertainties are largely amplified when small-scaletopography is taken into account in a distributed domain, especially for water-limited ecosystems with lowpermeability soils. Overall, pedotransfer function related uncertainties for a given soil type are higher thanuncertainties across soil types in both hydrological and ecosystem dynamics. The magnitude of uncertainties isclimate-dependent but not soil type-dependent. Evapotranspiration, vegetation structure, and plant productivityuncertainties are higher in water-limited semiarid climates, whereas groundwater recharge uncertainties arehigher in climates where potential evapotranspiration is comparable to precipitation.","lang":"eng"}],"day":"01"},{"quality_controlled":"1","date_published":"2022-05-09T00:00:00Z","scopus_import":"1","date_created":"2026-07-27T12:30:24Z","publisher":"IOP Publishing","issue":"5","type":"journal_article","article_type":"letter_note","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","extern":"1","doi":"10.1088/1748-9326/ac68f8","day":"09","keyword":["Urban dry island","Urban moisture island","Urban heat island","Urban climate","Urbanization effects","Humidity"],"main_file_link":[{"url":"https://doi.org/10.1088/1748-9326/ac68f8","open_access":"1"}],"abstract":[{"lang":"eng","text":"Urban heat islands (UHIs) are a widely studied phenomenon, while research on urban-rural differences in humidity, the so called urban dry or moisture islands (UDIs, UMIs), is less common and a large-scale quantification of the seasonal and diurnal patterns of the UDI is still lacking. However, quantification of the UDI/UMI effect is essential to understand the impacts of humidity on outdoor thermal comfort, building energy consumption, and urban ecology in cities worldwide. Here, we use a set of globally distributed air temperature and humidity measurements (1089 stations) to quantify diurnal and seasonal patterns of UHI and UDI resulting from rapid urbanization over many regions of the world. The terms ‘absolute UDI’ and ‘relative UDI’ are defined, which quantify urban–rural differences in actual and relative humidity metrics, respectively.\r\n\r\nResults show that absolute UDI is largest during daytime with the peak humidity decrease in urban areas occurring during late afternoon hours. In contrast, relative UDI is largest during night and the peak urban relative humidity (RH) decrease and vapor pressure deficit (VPD) increase occurs in the late evening hours with values of around −10% to −11% for RH and 2.9–3.6 hPa for VPD between 20–00 local time during summer. Relative and absolute UDIs are largest during the warm season, except for daytime RH UDI, which does not show any seasonal pattern. In agreement with literature, canopy air UHI is shown to be a nighttime phenomenon, which is larger during summer than winter. Relative UDI is predominantly caused by changes in actual humidity during day and UHI during nighttime."}],"das_tickbox":"1","status":"public","OA_type":"gold","OA_place":"publisher","_id":"22537","date_updated":"2026-08-06T11:57:54Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"intvolume":"        17","title":"Diurnal and seasonal patterns of global urban dry islands","month":"05","volume":17,"oa":1,"publication_identifier":{"eissn":["1748-9326"]},"language":[{"iso":"eng"}],"author":[{"full_name":"Meili, Naika","last_name":"Meili","first_name":"Naika"},{"full_name":"Paschalis, Athanasios","last_name":"Paschalis","first_name":"Athanasios"},{"first_name":"Gabriele","full_name":"Manoli, Gabriele","last_name":"Manoli"},{"id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","first_name":"Simone","last_name":"Fatichi","full_name":"Fatichi, Simone"}],"DOAJ_listed":"1","citation":{"short":"N. Meili, A. Paschalis, G. Manoli, S. Fatichi, Environmental Research Letters 17 (2022).","ieee":"N. Meili, A. Paschalis, G. Manoli, and S. Fatichi, “Diurnal and seasonal patterns of global urban dry islands,” <i>Environmental Research Letters</i>, vol. 17, no. 5. IOP Publishing, 2022.","apa":"Meili, N., Paschalis, A., Manoli, G., &#38; Fatichi, S. (2022). Diurnal and seasonal patterns of global urban dry islands. <i>Environmental Research Letters</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/1748-9326/ac68f8\">https://doi.org/10.1088/1748-9326/ac68f8</a>","ista":"Meili N, Paschalis A, Manoli G, Fatichi S. 2022. Diurnal and seasonal patterns of global urban dry islands. Environmental Research Letters. 17(5), 054044.","chicago":"Meili, Naika, Athanasios Paschalis, Gabriele Manoli, and Simone Fatichi. “Diurnal and Seasonal Patterns of Global Urban Dry Islands.” <i>Environmental Research Letters</i>. IOP Publishing, 2022. <a href=\"https://doi.org/10.1088/1748-9326/ac68f8\">https://doi.org/10.1088/1748-9326/ac68f8</a>.","ama":"Meili N, Paschalis A, Manoli G, Fatichi S. Diurnal and seasonal patterns of global urban dry islands. <i>Environmental Research Letters</i>. 2022;17(5). doi:<a href=\"https://doi.org/10.1088/1748-9326/ac68f8\">10.1088/1748-9326/ac68f8</a>","mla":"Meili, Naika, et al. “Diurnal and Seasonal Patterns of Global Urban Dry Islands.” <i>Environmental Research Letters</i>, vol. 17, no. 5, 054044, IOP Publishing, 2022, doi:<a href=\"https://doi.org/10.1088/1748-9326/ac68f8\">10.1088/1748-9326/ac68f8</a>."},"article_number":"054044","publication_status":"published","publication":"Environmental Research Letters","article_processing_charge":"No","year":"2022","oa_version":"Published Version"},{"quality_controlled":"1","date_published":"2022-10-01T00:00:00Z","scopus_import":"1","date_created":"2026-07-27T12:30:24Z","publisher":"American Geophysical Union","issue":"10","type":"journal_article","article_type":"original","extern":"1","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","doi":"10.1029/2022ef002852","day":"01","main_file_link":[{"url":" https://doi.org/10.1029/2022EF002852","open_access":"1"}],"abstract":[{"text":"The current Chilean megadrought has led to acute water shortages in central Chile since 2010.Glaciers have provided vital fresh water to the region's rivers, but the quantity, timing and sustainability ofthat provision remain unclear. Here we combine in-situ, remote sensing and climate reanalysis data to showthat from 2010 to 2018 during the megadrought, unsustainable imbalance ablation of glaciers (ablation notbalanced by new snowfall) strongly buffered the late-summer discharge of the Maipo River, a primary sourceof water to Santiago. If there had been no glaciers, water availability would have been reduced from Decemberthrough May, with a 31 ± 19% decrease during March. Our results indicate that while the annual contributionsof imbalance ablation to river discharge during the megadrought have been small compared to those fromprecipitation and sustainable balance ablation, they have nevertheless been a substantial input to a hydrologicalsystem that was already experiencing high water stress. The water-equivalent volume of imbalance ablationgenerated in the Maipo Basin between 2010 and 2018 was 740 × 10 6 m 3 (19 ± 12 mm yr −1), approximately 3.4times the capacity of the basin's El Yeso Reservoir. This is equivalent to 14% of Santiago's potable water use inthat time, while total glacier ablation was equivalent to 59%. We show that glacier retreat will exacerbate riverdischarge deficits and further jeopardize water availability in central Chile if precipitation deficits endure, andconjecture that these effects will be amplified by climatic warming.","lang":"eng"}],"das_tickbox":"1","status":"public","OA_type":"gold","OA_place":"publisher","_id":"22555","date_updated":"2026-08-06T13:58:29Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"intvolume":"        10","title":"Glacier contributions to river discharge during the current chilean megadrought","month":"10","volume":10,"oa":1,"publication_identifier":{"eissn":["2328-4277"]},"language":[{"iso":"eng"}],"author":[{"first_name":"Michael","last_name":"McCarthy","full_name":"McCarthy, Michael"},{"full_name":"Meier, Fabienne","last_name":"Meier","first_name":"Fabienne"},{"id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","first_name":"Simone","last_name":"Fatichi","full_name":"Fatichi, Simone"},{"first_name":"Benjamin D.","last_name":"Stocker","full_name":"Stocker, Benjamin D."},{"first_name":"Thomas E.","last_name":"Shaw","full_name":"Shaw, Thomas E."},{"last_name":"Miles","full_name":"Miles, Evan","first_name":"Evan"},{"full_name":"Dussaillant, Inés","last_name":"Dussaillant","first_name":"Inés"},{"last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca","first_name":"Francesca"}],"DOAJ_listed":"1","citation":{"ama":"McCarthy M, Meier F, Fatichi S, et al. Glacier contributions to river discharge during the current chilean megadrought. <i>Earth’s Future</i>. 2022;10(10). doi:<a href=\"https://doi.org/10.1029/2022ef002852\">10.1029/2022ef002852</a>","chicago":"McCarthy, Michael, Fabienne Meier, Simone Fatichi, Benjamin D. Stocker, Thomas E. Shaw, Evan Miles, Inés Dussaillant, and Francesca Pellicciotti. “Glacier Contributions to River Discharge during the Current Chilean Megadrought.” <i>Earth’s Future</i>. American Geophysical Union, 2022. <a href=\"https://doi.org/10.1029/2022ef002852\">https://doi.org/10.1029/2022ef002852</a>.","mla":"McCarthy, Michael, et al. “Glacier Contributions to River Discharge during the Current Chilean Megadrought.” <i>Earth’s Future</i>, vol. 10, no. 10, e2022EF002852, American Geophysical Union, 2022, doi:<a href=\"https://doi.org/10.1029/2022ef002852\">10.1029/2022ef002852</a>.","ieee":"M. McCarthy <i>et al.</i>, “Glacier contributions to river discharge during the current chilean megadrought,” <i>Earth’s Future</i>, vol. 10, no. 10. American Geophysical Union, 2022.","short":"M. McCarthy, F. Meier, S. Fatichi, B.D. Stocker, T.E. Shaw, E. Miles, I. Dussaillant, F. Pellicciotti, Earth’s Future 10 (2022).","ista":"McCarthy M, Meier F, Fatichi S, Stocker BD, Shaw TE, Miles E, Dussaillant I, Pellicciotti F. 2022. Glacier contributions to river discharge during the current chilean megadrought. Earth’s Future. 10(10), e2022EF002852.","apa":"McCarthy, M., Meier, F., Fatichi, S., Stocker, B. D., Shaw, T. E., Miles, E., … Pellicciotti, F. (2022). Glacier contributions to river discharge during the current chilean megadrought. <i>Earth’s Future</i>. American Geophysical Union. <a href=\"https://doi.org/10.1029/2022ef002852\">https://doi.org/10.1029/2022ef002852</a>"},"article_number":"e2022EF002852","publication_status":"published","publication":"Earth's Future","article_processing_charge":"No","year":"2022","oa_version":"Published Version"},{"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.uclim.2022.101346"}],"abstract":[{"lang":"eng","text":"It is well known that cities increase air and surface temperatures compared to their rural surroundings, the so-called urban heat island (UHI) effect. However, the associated changes in atmospheric humidity (also known as urban dry island, UDI) and convection triggering remain largely unexplored and it is still unclear how urban modifications of the surface energy budget Influence the diurnal evolution of temperature and humidity in the Atmospheric Boundary Layer\r\n(ABL) and ultimately control the initiation of convective clouds.\r\nHere we quantify the impact of different urban settings and free atmospheric conditions on\r\nUHI, UDI, and convection triggers by means of a zero-order model of the ABL. Specifically, we\r\nderive an approximate solution for urban-rural changes in surface energy fluxes and ABL potential\r\ntemperature and humidity and we investigate the crossing between the ABL height and the lifting\r\ncondensation level (LCL) which is a proxy for the triggering of convective clouds. We show that\r\nurban areas are generally warmer and drier, thus causing an increase in both ABL and LCL\r\nheights. However, the response of the ABL-LCL crossing to surface conditions is non-linear and\r\nthere exists a range of free atmosphere conditions for which changes in imperviousness can\r\nimpact convective clouds."}],"das_tickbox":"1","status":"public","keyword":["Urban heat island","Urban dry island","Boundary layer","Convective clouds","Analytical model"],"day":"01","article_type":"original","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","extern":"1","doi":"10.1016/j.uclim.2022.101346","date_published":"2022-12-01T00:00:00Z","quality_controlled":"1","scopus_import":"1","publisher":"Elsevier","date_created":"2026-07-27T12:30:24Z","type":"journal_article","article_processing_charge":"No","year":"2022","oa_version":"Published Version","publication_identifier":{"eissn":["2212-0955"]},"language":[{"iso":"eng"}],"author":[{"first_name":"Clinton T.F.","last_name":"Chiu","full_name":"Chiu, Clinton T.F."},{"first_name":"Kai","last_name":"Wang","full_name":"Wang, Kai"},{"last_name":"Paschalis","full_name":"Paschalis, Athanasios","first_name":"Athanasios"},{"first_name":"Tohid","last_name":"Erfani","full_name":"Erfani, Tohid"},{"first_name":"Nadav","full_name":"Peleg, Nadav","last_name":"Peleg"},{"full_name":"Fatichi, Simone","last_name":"Fatichi","first_name":"Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6"},{"first_name":"Natalie","last_name":"Theeuwes","full_name":"Theeuwes, Natalie"},{"first_name":"Gabriele","full_name":"Manoli, Gabriele","last_name":"Manoli"}],"citation":{"apa":"Chiu, C. T. F., Wang, K., Paschalis, A., Erfani, T., Peleg, N., Fatichi, S., … Manoli, G. (2022). An analytical approximation of urban heat and dry islands and their impact on convection triggering. <i>Urban Climate</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.uclim.2022.101346\">https://doi.org/10.1016/j.uclim.2022.101346</a>","ista":"Chiu CTF, Wang K, Paschalis A, Erfani T, Peleg N, Fatichi S, Theeuwes N, Manoli G. 2022. An analytical approximation of urban heat and dry islands and their impact on convection triggering. Urban Climate. 46, 101346.","short":"C.T.F. Chiu, K. Wang, A. Paschalis, T. Erfani, N. Peleg, S. Fatichi, N. Theeuwes, G. Manoli, Urban Climate 46 (2022).","ieee":"C. T. F. Chiu <i>et al.</i>, “An analytical approximation of urban heat and dry islands and their impact on convection triggering,” <i>Urban Climate</i>, vol. 46. Elsevier, 2022.","mla":"Chiu, Clinton T. F., et al. “An Analytical Approximation of Urban Heat and Dry Islands and Their Impact on Convection Triggering.” <i>Urban Climate</i>, vol. 46, 101346, Elsevier, 2022, doi:<a href=\"https://doi.org/10.1016/j.uclim.2022.101346\">10.1016/j.uclim.2022.101346</a>.","chicago":"Chiu, Clinton T.F., Kai Wang, Athanasios Paschalis, Tohid Erfani, Nadav Peleg, Simone Fatichi, Natalie Theeuwes, and Gabriele Manoli. “An Analytical Approximation of Urban Heat and Dry Islands and Their Impact on Convection Triggering.” <i>Urban Climate</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.uclim.2022.101346\">https://doi.org/10.1016/j.uclim.2022.101346</a>.","ama":"Chiu CTF, Wang K, Paschalis A, et al. An analytical approximation of urban heat and dry islands and their impact on convection triggering. <i>Urban Climate</i>. 2022;46. doi:<a href=\"https://doi.org/10.1016/j.uclim.2022.101346\">10.1016/j.uclim.2022.101346</a>"},"article_number":"101346","publication_status":"published","publication":"Urban Climate","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"intvolume":"        46","title":"An analytical approximation of urban heat and dry islands and their impact on convection triggering","volume":46,"month":"12","oa":1,"OA_place":"publisher","OA_type":"hybrid","_id":"22564","date_updated":"2026-08-06T14:03:31Z"},{"title":"High-pressure phase behaviors of titanium dioxide revealed by a Δ-learning potential","intvolume":"       156","oa":1,"volume":156,"month":"02","supplementarymaterial":"yes","external_id":{"arxiv":["2111.12968"],"isi":["000796704500014"],"pmid":["35183078"]},"acknowledgement":"J.G.L. and B.C. acknowledge the resources provided by the Cambridge Tier-2 system operated by the University of Cambridge Research Computing Service funded by the EPSRC Tier-2 capital (Grant No. EP/P020259/1).","pmid":1,"date_updated":"2026-08-07T11:17:03Z","_id":"10827","year":"2022","researchdata_availability":"yes","article_processing_charge":"No","arxiv":1,"oa_version":"Preprint","corr_author":"1","author":[{"first_name":"Jacob G.","full_name":"Lee, Jacob G.","last_name":"Lee"},{"first_name":"Chris J.","last_name":"Pickard","full_name":"Pickard, Chris J."},{"id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","orcid":"0000-0002-3584-9632","first_name":"Bingqing","last_name":"Cheng","full_name":"Cheng, Bingqing"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1089-7690"]},"publication":"The Journal of chemical physics","article_number":"074106","publication_status":"published","citation":{"apa":"Lee, J. G., Pickard, C. J., &#38; Cheng, B. (2022). High-pressure phase behaviors of titanium dioxide revealed by a Δ-learning potential. <i>The Journal of Chemical Physics</i>. AIP Publishing. <a href=\"https://doi.org/10.1063/5.0079844\">https://doi.org/10.1063/5.0079844</a>","ista":"Lee JG, Pickard CJ, Cheng B. 2022. High-pressure phase behaviors of titanium dioxide revealed by a Δ-learning potential. The Journal of chemical physics. 156(7), 074106.","ieee":"J. G. Lee, C. J. Pickard, and B. Cheng, “High-pressure phase behaviors of titanium dioxide revealed by a Δ-learning potential,” <i>The Journal of chemical physics</i>, vol. 156, no. 7. AIP Publishing, 2022.","short":"J.G. Lee, C.J. Pickard, B. Cheng, The Journal of Chemical Physics 156 (2022).","mla":"Lee, Jacob G., et al. “High-Pressure Phase Behaviors of Titanium Dioxide Revealed by a Δ-Learning Potential.” <i>The Journal of Chemical Physics</i>, vol. 156, no. 7, 074106, AIP Publishing, 2022, doi:<a href=\"https://doi.org/10.1063/5.0079844\">10.1063/5.0079844</a>.","chicago":"Lee, Jacob G., Chris J. Pickard, and Bingqing Cheng. “High-Pressure Phase Behaviors of Titanium Dioxide Revealed by a Δ-Learning Potential.” <i>The Journal of Chemical Physics</i>. AIP Publishing, 2022. <a href=\"https://doi.org/10.1063/5.0079844\">https://doi.org/10.1063/5.0079844</a>.","ama":"Lee JG, Pickard CJ, Cheng B. High-pressure phase behaviors of titanium dioxide revealed by a Δ-learning potential. <i>The Journal of chemical physics</i>. 2022;156(7). doi:<a href=\"https://doi.org/10.1063/5.0079844\">10.1063/5.0079844</a>"},"doi":"10.1063/5.0079844","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","department":[{"_id":"BiCh"}],"article_type":"original","publisher":"AIP Publishing","date_created":"2022-03-06T23:01:53Z","scopus_import":"1","quality_controlled":"1","date_published":"2022-02-16T00:00:00Z","type":"journal_article","issue":"7","dataavailabilitystatement":"All original data generated for the study and the Δ-learning potential for TiO2 constructed in this study are in the SI repository at https://github.com/jacobglee1/tio2-mlp.","status":"public","das_tickbox":"1","main_file_link":[{"url":"https://arxiv.org/abs/2111.12968","open_access":"1"}],"abstract":[{"text":"Titanium dioxide has been extensively studied in the rutile or anatase phase, while its high-pressure phases are less well-understood, despite that many are thought to have interesting optical, mechanical, and electrochemical properties. First-principles methods, such as density functional theory (DFT), are often used to compute the enthalpies of TiO2 phases at 0 K, but they are expensive and, thus, impractical for long time scale and large system-size simulations at finite temperatures. On the other hand, cheap empirical potentials fail to capture the relative stabilities of various polymorphs. To model the thermodynamic behaviors of ambient and high-pressure phases of TiO2, we design an empirical model as a baseline and then train a machine learning potential based on the difference between the DFT data and the empirical model. This so-called Δ-learning potential contains long-range electrostatic interactions and predicts the 0 K enthalpies of stable TiO2 phases that are in good agreement with DFT. We construct a pressure–temperature phase diagram of TiO2 in the range 0 < P < 70 GPa and 100 < T < 1500 K. We then simulate dynamic phase transition processes by compressing anatase at different temperatures. At 300 K, we predominantly observe an anatase-to-baddeleyite transformation at about 20 GPa via a martensitic two-step mechanism with a highly ordered and collective atomic motion. At 2000 K, anatase can transform into cotunnite around 45–55 GPa in a thermally activated and probabilistic manner, accompanied by diffusive movement of oxygen atoms. The pressures computed for these transitions show good agreement with experiments. Our results shed light on how to synthesize and stabilize high-pressure TiO2 phases, and our method is generally applicable to other functional materials with multiple polymorphs.","lang":"eng"}],"isi":1,"day":"16"},{"isi":1,"keyword":["Artificial Intelligence","Human-Computer Interaction","Software"],"day":"17","das_tickbox":"1","status":"public","abstract":[{"lang":"eng","text":"We introduce a machine-learning (ML) framework for high-throughput benchmarking of diverse representations of chemical systems against datasets of materials and molecules. The guiding principle underlying the benchmarking approach is to evaluate raw descriptor performance by limiting model complexity to simple regression schemes while enforcing best ML practices, allowing for unbiased hyperparameter optimization, and assessing learning progress through learning curves along series of synchronized train-test splits. The resulting models are intended as baselines that can inform future method development, in addition to indicating how easily a given dataset can be learnt. Through a comparative analysis of the training outcome across a diverse set of physicochemical, topological and geometric representations, we glean insight into the relative merits of these representations as well as their interrelatedness."}],"scopus_import":"1","date_created":"2023-01-12T12:02:21Z","publisher":"IOP Publishing","quality_controlled":"1","date_published":"2022-11-17T00:00:00Z","issue":"4","type":"journal_article","dataavailabilitystatement":"The datasets used for this study are available at https://github.com/BingqingCheng/linear-regression-benchmarks. All data that support the findings of this study are included within the article (and any supplementary files).","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","doi":"10.1088/2632-2153/ac4d11","file":[{"date_updated":"2023-01-23T10:42:04Z","content_type":"application/pdf","date_created":"2023-01-23T10:42:04Z","success":1,"file_id":"12343","file_size":13814559,"access_level":"open_access","relation":"main_file","creator":"dernst","file_name":"2022_MachLearning_Poelking.pdf","checksum":"8930d4ad6ed9b47358c6f1a68666adb6"}],"article_type":"original","department":[{"_id":"BiCh"}],"has_accepted_license":"1","author":[{"first_name":"Carl","last_name":"Poelking","full_name":"Poelking, Carl"},{"full_name":"Faber, Felix A","last_name":"Faber","first_name":"Felix A"},{"last_name":"Cheng","full_name":"Cheng, Bingqing","id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","orcid":"0000-0002-3584-9632","first_name":"Bingqing"}],"file_date_updated":"2023-01-23T10:42:04Z","publication_identifier":{"issn":["2632-2153"]},"language":[{"iso":"eng"}],"publication":"Machine Learning: Science and Technology","citation":{"ama":"Poelking C, Faber FA, Cheng B. BenchML: An extensible pipelining framework for benchmarking representations of materials and molecules at scale. <i>Machine Learning: Science and Technology</i>. 2022;3(4). doi:<a href=\"https://doi.org/10.1088/2632-2153/ac4d11\">10.1088/2632-2153/ac4d11</a>","chicago":"Poelking, Carl, Felix A Faber, and Bingqing Cheng. “BenchML: An Extensible Pipelining Framework for Benchmarking Representations of Materials and Molecules at Scale.” <i>Machine Learning: Science and Technology</i>. IOP Publishing, 2022. <a href=\"https://doi.org/10.1088/2632-2153/ac4d11\">https://doi.org/10.1088/2632-2153/ac4d11</a>.","mla":"Poelking, Carl, et al. “BenchML: An Extensible Pipelining Framework for Benchmarking Representations of Materials and Molecules at Scale.” <i>Machine Learning: Science and Technology</i>, vol. 3, no. 4, 040501, IOP Publishing, 2022, doi:<a href=\"https://doi.org/10.1088/2632-2153/ac4d11\">10.1088/2632-2153/ac4d11</a>.","short":"C. Poelking, F.A. Faber, B. Cheng, Machine Learning: Science and Technology 3 (2022).","ieee":"C. Poelking, F. A. Faber, and B. Cheng, “BenchML: An extensible pipelining framework for benchmarking representations of materials and molecules at scale,” <i>Machine Learning: Science and Technology</i>, vol. 3, no. 4. IOP Publishing, 2022.","ista":"Poelking C, Faber FA, Cheng B. 2022. BenchML: An extensible pipelining framework for benchmarking representations of materials and molecules at scale. Machine Learning: Science and Technology. 3(4), 040501.","apa":"Poelking, C., Faber, F. A., &#38; Cheng, B. (2022). BenchML: An extensible pipelining framework for benchmarking representations of materials and molecules at scale. <i>Machine Learning: Science and Technology</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/2632-2153/ac4d11\">https://doi.org/10.1088/2632-2153/ac4d11</a>"},"article_number":"040501","publication_status":"published","year":"2022","article_processing_charge":"No","researchdata_availability":"yes","oa_version":"Published Version","corr_author":"1","acknowledgement":"C P acknowledges funding from Astex through the Sustaining Innovation Program under the Milner Consortium. B C acknowledges resources provided by the Cambridge Tier-2 system operated by the University of Cambridge Research Computing Service funded by EPSRC Tier-2 capital Grant EP/P020259/1. F A F acknowledges funding from the Swiss National Science Foundation (Grant No. P2BSP2_191736). ","date_updated":"2026-08-07T11:19:31Z","related_material":{"link":[{"url":"https://github.com/capoe/benchml","relation":"software"}]},"_id":"12128","intvolume":"         3","title":"BenchML: An extensible pipelining framework for benchmarking representations of materials and molecules at scale","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"ddc":["000"],"month":"11","volume":3,"supplementarymaterial":"yes","oa":1,"external_id":{"isi":["000886534000001"]}},{"keyword":["Physical and Theoretical Chemistry","General Physics and Astronomy"],"day":"30","isi":1,"status":"public","das_tickbox":"1","abstract":[{"text":"The chemical potential of a component in a solution is defined as the free energy change as the amount of that component changes. Computing this fundamental thermodynamic property from atomistic simulations is notoriously difficult because of the convergence issues involved in free energy methods and finite size effects. This Communication presents the so-called S0 method, which can be used to obtain chemical potentials from static structure factors computed from equilibrium molecular dynamics simulations under the isothermal–isobaric ensemble. This new method is demonstrated on the systems of binary Lennard-Jones particles, urea–water mixtures, a NaCl aqueous solution, and a high-pressure carbon–hydrogen mixture. ","lang":"eng"}],"type":"journal_article","issue":"12","dataavailabilitystatement":"All PYTHON scripts and simulation input files generated for the study are in the SI repository https://github.com/BingqingCheng/S0, Ref. 29.\r\n29. B. Cheng, https://github.com/BingqingCheng/S0 “Data repository for the S0 method” (2020).","date_created":"2023-01-16T09:56:20Z","publisher":"AIP Publishing","scopus_import":"1","quality_controlled":"1","date_published":"2022-09-30T00:00:00Z","doi":"10.1063/5.0107059","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","has_accepted_license":"1","department":[{"_id":"BiCh"}],"file":[{"date_created":"2023-01-30T09:07:00Z","date_updated":"2023-01-30T09:07:00Z","content_type":"application/pdf","relation":"main_file","creator":"dernst","file_name":"2022_JourChemPhysics_Cheng.pdf","checksum":"b0915b706568a663a9a372fca24adf35","success":1,"access_level":"open_access","file_id":"12441","file_size":4402384}],"article_type":"original","publication":"The Journal of Chemical Physics","article_number":"121101","publication_status":"published","citation":{"short":"B. Cheng, The Journal of Chemical Physics 157 (2022).","ieee":"B. Cheng, “Computing chemical potentials of solutions from structure factors,” <i>The Journal of Chemical Physics</i>, vol. 157, no. 12. AIP Publishing, 2022.","ista":"Cheng B. 2022. Computing chemical potentials of solutions from structure factors. The Journal of Chemical Physics. 157(12), 121101.","apa":"Cheng, B. (2022). Computing chemical potentials of solutions from structure factors. <i>The Journal of Chemical Physics</i>. AIP Publishing. <a href=\"https://doi.org/10.1063/5.0107059\">https://doi.org/10.1063/5.0107059</a>","chicago":"Cheng, Bingqing. “Computing Chemical Potentials of Solutions from Structure Factors.” <i>The Journal of Chemical Physics</i>. AIP Publishing, 2022. <a href=\"https://doi.org/10.1063/5.0107059\">https://doi.org/10.1063/5.0107059</a>.","ama":"Cheng B. Computing chemical potentials of solutions from structure factors. <i>The Journal of Chemical Physics</i>. 2022;157(12). doi:<a href=\"https://doi.org/10.1063/5.0107059\">10.1063/5.0107059</a>","mla":"Cheng, Bingqing. “Computing Chemical Potentials of Solutions from Structure Factors.” <i>The Journal of Chemical Physics</i>, vol. 157, no. 12, 121101, AIP Publishing, 2022, doi:<a href=\"https://doi.org/10.1063/5.0107059\">10.1063/5.0107059</a>."},"file_date_updated":"2023-01-30T09:07:00Z","author":[{"last_name":"Cheng","full_name":"Cheng, Bingqing","id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","orcid":"0000-0002-3584-9632","first_name":"Bingqing"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1089-7690"],"issn":["0021-9606"]},"corr_author":"1","oa_version":"Published Version","year":"2022","researchdata_availability":"yes","article_processing_charge":"No","date_updated":"2026-08-07T11:22:29Z","related_material":{"link":[{"relation":"software","url":"https://github.com/ BingqingCheng/S0"}]},"_id":"12249","acknowledgement":"I thank Daan Frenkel for providing feedback on an early draft and for stimulating discussions, Debashish Mukherji and Robinson Cortes-Huerto for sharing the trajectories for urea–water mixtures, and Aleks Reinhardt for useful suggestions on the manuscript.","pmid":1,"oa":1,"volume":157,"supplementarymaterial":"yes","month":"09","external_id":{"pmid":["36182422"],"isi":["000862856000003"]},"title":"Computing chemical potentials of solutions from structure factors","intvolume":"       157","ddc":["530","540"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"}},{"date_updated":"2026-08-07T11:18:25Z","_id":"11937","pmid":1,"acknowledgement":"We thank Chris Pickard for providing the initial structures of high-pressure ice phases and for useful advice. A.R. and B.C. acknowledge resources provided by the Cambridge Tier-2 system operated by the University of Cambridge Research Computing Service funded by EPSRC Tier-2 capital grant EP/P020259/1. M.B. was supported by the European Union within the Marie Skłodowska-Curie actions (xICE grant 894725) and acknowledges computational resources at North-German Supercomputing Alliance (HLRN) facilities. S.H. and M.M. acknowledge support from LDRD 19-ERD-031 and computing support from the Lawrence Livermore National Laboratory (LLNL) Institutional Computing Grand Challenge programme. F.C. acknowledges support from the US DOE Office of Science, Office of Fusion Energy Sciences. Lawrence Livermore National Laboratory is operated by Lawrence Livermore National Security, LLC, for the U.S. Department of Energy, National Nuclear Security Administration under Contract DE-AC52-07NA27344.","volume":13,"supplementarymaterial":"yes","month":"08","oa":1,"external_id":{"pmid":["35948550"],"isi":["000838655300022"]},"intvolume":"        13","title":"Thermodynamics of high-pressure ice phases explored with atomistic simulations","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"ddc":["540"],"publication":"Nature Communications","citation":{"mla":"Reinhardt, Aleks, et al. “Thermodynamics of High-Pressure Ice Phases Explored with Atomistic Simulations.” <i>Nature Communications</i>, vol. 13, 4707, Springer Nature, 2022, doi:<a href=\"https://doi.org/10.1038/s41467-022-32374-1\">10.1038/s41467-022-32374-1</a>.","ama":"Reinhardt A, Bethkenhagen M, Coppari F, Millot M, Hamel S, Cheng B. Thermodynamics of high-pressure ice phases explored with atomistic simulations. <i>Nature Communications</i>. 2022;13. doi:<a href=\"https://doi.org/10.1038/s41467-022-32374-1\">10.1038/s41467-022-32374-1</a>","chicago":"Reinhardt, Aleks, Mandy Bethkenhagen, Federica Coppari, Marius Millot, Sebastien Hamel, and Bingqing Cheng. “Thermodynamics of High-Pressure Ice Phases Explored with Atomistic Simulations.” <i>Nature Communications</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41467-022-32374-1\">https://doi.org/10.1038/s41467-022-32374-1</a>.","apa":"Reinhardt, A., Bethkenhagen, M., Coppari, F., Millot, M., Hamel, S., &#38; Cheng, B. (2022). Thermodynamics of high-pressure ice phases explored with atomistic simulations. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-022-32374-1\">https://doi.org/10.1038/s41467-022-32374-1</a>","ista":"Reinhardt A, Bethkenhagen M, Coppari F, Millot M, Hamel S, Cheng B. 2022. Thermodynamics of high-pressure ice phases explored with atomistic simulations. Nature Communications. 13, 4707.","short":"A. Reinhardt, M. Bethkenhagen, F. Coppari, M. Millot, S. Hamel, B. Cheng, Nature Communications 13 (2022).","ieee":"A. Reinhardt, M. Bethkenhagen, F. Coppari, M. Millot, S. Hamel, and B. Cheng, “Thermodynamics of high-pressure ice phases explored with atomistic simulations,” <i>Nature Communications</i>, vol. 13. Springer Nature, 2022."},"article_number":"4707","publication_status":"published","author":[{"full_name":"Reinhardt, Aleks","last_name":"Reinhardt","first_name":"Aleks"},{"first_name":"Mandy","full_name":"Bethkenhagen, Mandy","last_name":"Bethkenhagen"},{"first_name":"Federica","last_name":"Coppari","full_name":"Coppari, Federica"},{"full_name":"Millot, Marius","last_name":"Millot","first_name":"Marius"},{"first_name":"Sebastien","full_name":"Hamel, Sebastien","last_name":"Hamel"},{"last_name":"Cheng","full_name":"Cheng, Bingqing","id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","first_name":"Bingqing","orcid":"0000-0002-3584-9632"}],"file_date_updated":"2022-08-22T06:33:02Z","publication_identifier":{"eissn":["2041-1723"]},"language":[{"iso":"eng"}],"corr_author":"1","oa_version":"Published Version","year":"2022","article_processing_charge":"No","researchdata_availability":"yes","type":"journal_article","dataavailabilitystatement":"All original data generated for the study are in the SI repository https://github.com/BingqingCheng/highP-ice.","scopus_import":"1","date_created":"2022-08-21T22:01:55Z","publisher":"Springer Nature","quality_controlled":"1","date_published":"2022-08-10T00:00:00Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","doi":"10.1038/s41467-022-32374-1","file":[{"relation":"main_file","creator":"dernst","file_name":"2022_NatureCommunications_Reinhardt.pdf","checksum":"8ff9b689cde59fd3a9959a9f01929dea","success":1,"access_level":"open_access","file_size":1767206,"file_id":"11939","date_created":"2022-08-22T06:33:02Z","date_updated":"2022-08-22T06:33:02Z","content_type":"application/pdf"}],"article_type":"original","department":[{"_id":"BiCh"}],"has_accepted_license":"1","day":"10","isi":1,"das_tickbox":"1","status":"public","abstract":[{"text":"Most experimentally known high-pressure ice phases have a body-centred cubic (bcc) oxygen lattice. Our large-scale molecular-dynamics simulations with a machine-learning potential indicate that, amongst these bcc ice phases, ices VII, VII′ and X are the same thermodynamic phase under different conditions, whereas superionic ice VII″ has a first-order phase boundary with ice VII′. Moreover, at about 300 GPa, the transformation between ice X and the Pbcm phase has a sharp structural change but no apparent activation barrier, whilst at higher pressures the barrier gradually increases. Our study thus clarifies the phase behaviour of the high-pressure ices and reveals peculiar solid–solid transition mechanisms not known in other systems.","lang":"eng"}]},{"author":[{"first_name":"Aldo","last_name":"Glielmo","full_name":"Glielmo, Aldo"},{"first_name":"Claudio","last_name":"Zeni","full_name":"Zeni, Claudio"},{"last_name":"Cheng","full_name":"Cheng, Bingqing","id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","first_name":"Bingqing","orcid":"0000-0002-3584-9632"},{"full_name":"Csanyi, Gabor","last_name":"Csanyi","first_name":"Gabor"},{"last_name":"Laio","full_name":"Laio, Alessandro","first_name":"Alessandro"}],"file_date_updated":"2024-05-29T06:21:33Z","publication_identifier":{"eissn":["2752-6542"]},"language":[{"iso":"eng"}],"publication":"PNAS Nexus","citation":{"mla":"Glielmo, Aldo, et al. “Ranking the Information Content of Distance Measures.” <i>PNAS Nexus</i>, vol. 1, no. 2, pgac039, Oxford University Press, 2022, doi:<a href=\"https://doi.org/10.1093/pnasnexus/pgac039\">10.1093/pnasnexus/pgac039</a>.","ama":"Glielmo A, Zeni C, Cheng B, Csanyi G, Laio A. Ranking the information content of distance measures. <i>PNAS Nexus</i>. 2022;1(2). doi:<a href=\"https://doi.org/10.1093/pnasnexus/pgac039\">10.1093/pnasnexus/pgac039</a>","chicago":"Glielmo, Aldo, Claudio Zeni, Bingqing Cheng, Gabor Csanyi, and Alessandro Laio. “Ranking the Information Content of Distance Measures.” <i>PNAS Nexus</i>. Oxford University Press, 2022. <a href=\"https://doi.org/10.1093/pnasnexus/pgac039\">https://doi.org/10.1093/pnasnexus/pgac039</a>.","apa":"Glielmo, A., Zeni, C., Cheng, B., Csanyi, G., &#38; Laio, A. (2022). Ranking the information content of distance measures. <i>PNAS Nexus</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/pnasnexus/pgac039\">https://doi.org/10.1093/pnasnexus/pgac039</a>","ista":"Glielmo A, Zeni C, Cheng B, Csanyi G, Laio A. 2022. Ranking the information content of distance measures. PNAS Nexus. 1(2), pgac039.","ieee":"A. Glielmo, C. Zeni, B. Cheng, G. Csanyi, and A. Laio, “Ranking the information content of distance measures,” <i>PNAS Nexus</i>, vol. 1, no. 2. Oxford University Press, 2022.","short":"A. Glielmo, C. Zeni, B. Cheng, G. Csanyi, A. Laio, PNAS Nexus 1 (2022)."},"article_number":"pgac039","publication_status":"published","year":"2022","article_processing_charge":"Yes","researchdata_availability":"no","arxiv":1,"oa_version":"Published Version","acknowledgement":"A.G., C.Z., and A.L. gratefully acknowledge support from the European Union’s Horizon 2020 research and innovation program (grant number 824143, MaX ’Materials design at the eXascale’ Centre of Excellence). The authors would like to thank M. Carli, D. Doimo, and I. Macocco (SISSA) for the discussions, M. Caro (Aalto University) for the precious help in using the TurboGap code, and D. Frenkel (University of Cambridge) and N. Bernstein (US Naval Research Laboratory) for useful feedback on the manuscript.\r\nThis work is supported in part by funds from the European Union’s Horizon 2020 research and innovation program (grant number 824143, MaX ’Materials design at the eXascale’ Centre of Excellence).","pmid":1,"date_updated":"2026-08-07T11:23:54Z","_id":"9695","intvolume":"         1","title":"Ranking the information content of distance measures","tmp":{"short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"ddc":["000"],"volume":1,"month":"05","supplementarymaterial":"yes","oa":1,"external_id":{"pmid":["36713323"],"arxiv":["2104.15079"]},"day":"01","das_tickbox":"1","status":"public","abstract":[{"text":"Real-world data typically contain a large number of features that are often heterogeneous in nature, relevance, and also units of measure. When assessing the similarity between data points, one can build various distance measures using subsets of these features. Using the fewest features but still retaining sufficient information about the system is crucial in many statistical learning approaches, particularly when data are sparse. We introduce a statistical test that can assess the relative information retained when using two different distance measures, and determine if they are equivalent, independent, or if one is more informative than the other. This in turn allows finding the most informative distance measure out of a pool of candidates. The approach is applied to find the most relevant policy variables for controlling the Covid-19 epidemic and to find compact yet informative representations of atomic structures, but its potential applications are wide ranging in many branches of science.","lang":"eng"}],"scopus_import":"1","date_created":"2021-07-20T06:31:53Z","publisher":"Oxford University Press","date_published":"2022-05-01T00:00:00Z","quality_controlled":"1","issue":"2","type":"journal_article","dataavailabilitystatement":"Details on the datasets used are available in the supplementary material.","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","doi":"10.1093/pnasnexus/pgac039","article_type":"original","file":[{"date_created":"2024-05-29T06:21:33Z","date_updated":"2024-05-29T06:21:33Z","content_type":"application/pdf","relation":"main_file","creator":"dernst","checksum":"f6552854d760eb574ce97abce2c8ef89","file_name":"2022_PNASNexus_Glielmo.pdf","success":1,"access_level":"open_access","file_id":"17080","file_size":2005167}],"has_accepted_license":"1","department":[{"_id":"BiCh"}]},{"author":[{"first_name":"Christine","id":"bd3fceba-dc74-11ea-a0a7-c17f71817366","full_name":"Fiedler, Christine","last_name":"Fiedler"},{"last_name":"Kleinhanns","full_name":"Kleinhanns, Tobias","id":"8BD9DE16-AB3C-11E9-9C8C-2A03E6697425","orcid":"0000-0003-1537-7436","first_name":"Tobias"},{"first_name":"Maria","id":"6e5c50b8-97dc-11ed-be98-b0a74c84cae0","full_name":"Garcia, Maria","last_name":"Garcia"},{"first_name":"Seungho","orcid":"0000-0002-6962-8598","id":"BB243B88-D767-11E9-B658-BC13E6697425","full_name":"Lee, Seungho","last_name":"Lee"},{"full_name":"Calcabrini, Mariano","last_name":"Calcabrini","orcid":"0000-0003-4566-5877","first_name":"Mariano","id":"45D7531A-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Ibáñez, Maria","last_name":"Ibáñez","orcid":"0000-0001-5013-2843","first_name":"Maria","id":"43C61214-F248-11E8-B48F-1D18A9856A87"}],"file_date_updated":"2023-01-30T07:35:09Z","publication_identifier":{"eissn":["1520-5002"],"issn":["0897-4756"]},"language":[{"iso":"eng"}],"publication":"Chemistry of Materials","citation":{"mla":"Fiedler, Christine, et al. “Solution-Processed Inorganic Thermoelectric Materials: Opportunities and Challenges ∇.” <i>Chemistry of Materials</i>, vol. 34, no. 19, American Chemical Society, 2022, pp. 8471–89, doi:<a href=\"https://doi.org/10.1021/acs.chemmater.2c01967\">10.1021/acs.chemmater.2c01967</a>.","ama":"Fiedler C, Kleinhanns T, Garcia M, Lee S, Calcabrini M, Ibáñez M. Solution-processed inorganic thermoelectric materials: Opportunities and challenges ∇. <i>Chemistry of Materials</i>. 2022;34(19):8471-8489. doi:<a href=\"https://doi.org/10.1021/acs.chemmater.2c01967\">10.1021/acs.chemmater.2c01967</a>","chicago":"Fiedler, Christine, Tobias Kleinhanns, Maria Garcia, Seungho Lee, Mariano Calcabrini, and Maria Ibáñez. “Solution-Processed Inorganic Thermoelectric Materials: Opportunities and Challenges ∇.” <i>Chemistry of Materials</i>. American Chemical Society, 2022. <a href=\"https://doi.org/10.1021/acs.chemmater.2c01967\">https://doi.org/10.1021/acs.chemmater.2c01967</a>.","ista":"Fiedler C, Kleinhanns T, Garcia M, Lee S, Calcabrini M, Ibáñez M. 2022. Solution-processed inorganic thermoelectric materials: Opportunities and challenges ∇. Chemistry of Materials. 34(19), 8471–8489.","apa":"Fiedler, C., Kleinhanns, T., Garcia, M., Lee, S., Calcabrini, M., &#38; Ibáñez, M. (2022). Solution-processed inorganic thermoelectric materials: Opportunities and challenges ∇. <i>Chemistry of Materials</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.chemmater.2c01967\">https://doi.org/10.1021/acs.chemmater.2c01967</a>","ieee":"C. Fiedler, T. Kleinhanns, M. Garcia, S. Lee, M. Calcabrini, and M. Ibáñez, “Solution-processed inorganic thermoelectric materials: Opportunities and challenges ∇,” <i>Chemistry of Materials</i>, vol. 34, no. 19. American Chemical Society, pp. 8471–8489, 2022.","short":"C. Fiedler, T. Kleinhanns, M. Garcia, S. Lee, M. Calcabrini, M. Ibáñez, Chemistry of Materials 34 (2022) 8471–8489."},"publication_status":"published","year":"2022","article_processing_charge":"Yes (via OA deal)","corr_author":"1","oa_version":"Published Version","project":[{"grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program"}],"page":"8471-8489","acknowledgement":"This work was financially supported by ISTA and the Werner Siemens Foundation. M.C. has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement no. 665385.","pmid":1,"ec_funded":1,"date_updated":"2026-08-11T12:39:14Z","related_material":{"record":[{"relation":"dissertation_contains","id":"20415","status":"public"},{"relation":"dissertation_contains","id":"12885","status":"public"},{"id":"22017","status":"public","relation":"dissertation_contains"},{"relation":"dissertation_contains","id":"22626","status":"public"}]},"_id":"12237","intvolume":"        34","title":"Solution-processed inorganic thermoelectric materials: Opportunities and challenges ∇","ddc":["540"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"volume":34,"month":"09","oa":1,"external_id":{"isi":["000917837600001"],"pmid":["36248227"]},"isi":1,"day":"20","keyword":["Materials Chemistry","General Chemical Engineering","General Chemistry"],"status":"public","abstract":[{"lang":"eng","text":"Thermoelectric technology requires synthesizing complex materials where not only the crystal structure but also other structural features such as defects, grain size and orientation, and interfaces must be controlled. To date, conventional solid-state techniques are unable to provide this level of control. Herein, we present a synthetic approach in which dense inorganic thermoelectric materials are produced by the consolidation of well-defined nanoparticle powders. The idea is that controlling the characteristics of the powder allows the chemical transformations that take place during consolidation to be guided, ultimately yielding inorganic solids with targeted features. Different from conventional methods, syntheses in solution can produce particles with unprecedented control over their size, shape, crystal structure, composition, and surface chemistry. However, to date, most works have focused only on the low-cost benefits of this strategy. In this perspective, we first cover the opportunities that solution processing of the powder offers, emphasizing the potential structural features that can be controlled by precisely engineering the inorganic core of the particle, the surface, and the organization of the particles before consolidation. We then discuss the challenges of this synthetic approach and more practical matters related to solution processing. Finally, we suggest some good practices for adequate knowledge transfer and improving reproducibility among different laboratories."}],"scopus_import":"1","date_created":"2023-01-16T09:51:26Z","publisher":"American Chemical Society","date_published":"2022-09-20T00:00:00Z","quality_controlled":"1","issue":"19","type":"journal_article","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","doi":"10.1021/acs.chemmater.2c01967","file":[{"relation":"main_file","creator":"dernst","checksum":"f7143e44ab510519d1949099c3558532","file_name":"2022_ChemistryMaterials_Fiedler.pdf","success":1,"access_level":"open_access","file_id":"12434","file_size":10923495,"date_created":"2023-01-30T07:35:09Z","date_updated":"2023-01-30T07:35:09Z","content_type":"application/pdf"}],"article_type":"original","has_accepted_license":"1","department":[{"_id":"MaIb"}]},{"status":"public","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2105.05677"}],"abstract":[{"text":"This paper contains two contributions in the study of optimal transport on metric graphs. Firstly, we prove a Benamou–Brenier formula for the Wasserstein distance, which establishes the equivalence of static and dynamical optimal transport. Secondly, in the spirit of Jordan–Kinderlehrer–Otto, we show that McKean–Vlasov equations can be formulated as gradient flow of the free energy in the Wasserstein space of probability measures. The proofs of these results are based on careful regularisation arguments to circumvent some of the difficulties arising in metric graphs, namely, branching of geodesics and the failure of semi-convexity of entropy functionals in the Wasserstein space.","lang":"eng"}],"day":"01","isi":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.3934/nhm.2022023","article_type":"original","department":[{"_id":"JaMa"}],"issue":"5","type":"journal_article","scopus_import":"1","date_created":"2022-07-31T22:01:46Z","publisher":"AIMS","quality_controlled":"1","date_published":"2022-10-01T00:00:00Z","corr_author":"1","arxiv":1,"oa_version":"Preprint","page":"687-717","project":[{"call_identifier":"H2020","grant_number":"716117","name":"Optimal Transport and Stochastic Dynamics","_id":"256E75B8-B435-11E9-9278-68D0E5697425"},{"_id":"fc31cba2-9c52-11eb-aca3-ff467d239cd2","name":"Taming Complexity in Partial Differential Systems","grant_number":"F6504"}],"year":"2022","article_processing_charge":"No","publication":"Networks and Heterogeneous Media","citation":{"chicago":"Erbar, Matthias, Dominik L Forkert, Jan Maas, and Delio Mugnolo. “Gradient Flow Formulation of Diffusion Equations in the Wasserstein Space over a Metric Graph.” <i>Networks and Heterogeneous Media</i>. AIMS, 2022. <a href=\"https://doi.org/10.3934/nhm.2022023\">https://doi.org/10.3934/nhm.2022023</a>.","ama":"Erbar M, Forkert DL, Maas J, Mugnolo D. Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph. <i>Networks and Heterogeneous Media</i>. 2022;17(5):687-717. doi:<a href=\"https://doi.org/10.3934/nhm.2022023\">10.3934/nhm.2022023</a>","mla":"Erbar, Matthias, et al. “Gradient Flow Formulation of Diffusion Equations in the Wasserstein Space over a Metric Graph.” <i>Networks and Heterogeneous Media</i>, vol. 17, no. 5, AIMS, 2022, pp. 687–717, doi:<a href=\"https://doi.org/10.3934/nhm.2022023\">10.3934/nhm.2022023</a>.","short":"M. Erbar, D.L. Forkert, J. Maas, D. Mugnolo, Networks and Heterogeneous Media 17 (2022) 687–717.","ieee":"M. Erbar, D. L. Forkert, J. Maas, and D. Mugnolo, “Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph,” <i>Networks and Heterogeneous Media</i>, vol. 17, no. 5. AIMS, pp. 687–717, 2022.","ista":"Erbar M, Forkert DL, Maas J, Mugnolo D. 2022. Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph. Networks and Heterogeneous Media. 17(5), 687–717.","apa":"Erbar, M., Forkert, D. L., Maas, J., &#38; Mugnolo, D. (2022). Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph. <i>Networks and Heterogeneous Media</i>. AIMS. <a href=\"https://doi.org/10.3934/nhm.2022023\">https://doi.org/10.3934/nhm.2022023</a>"},"publication_status":"published","author":[{"first_name":"Matthias","full_name":"Erbar, Matthias","last_name":"Erbar"},{"full_name":"Forkert, Dominik L","last_name":"Forkert","first_name":"Dominik L","id":"35C79D68-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Maas, Jan","last_name":"Maas","orcid":"0000-0002-0845-1338","first_name":"Jan","id":"4C5696CE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Mugnolo, Delio","last_name":"Mugnolo","first_name":"Delio"}],"publication_identifier":{"eissn":["1556-181X"],"issn":["1556-1801"]},"language":[{"iso":"eng"}],"month":"10","volume":17,"oa":1,"external_id":{"arxiv":["2105.05677"],"isi":["000812422100001"]},"intvolume":"        17","title":"Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph","date_updated":"2026-08-12T06:20:30Z","_id":"11700","acknowledgement":"ME acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG), Grant SFB 1283/2 2021 – 317210226. DF and JM were supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 716117). JM also acknowledges support by the Austrian Science Fund (FWF), Project SFB F65. The work of DM was partially supported by the Deutsche Forschungsgemeinschaft\r\n(DFG), Grant 397230547. This article is based upon work from COST Action\r\n18232 MAT-DYN-NET, supported by COST (European Cooperation in Science\r\nand Technology), www.cost.eu. We wish to thank Martin Burger and Jan-Frederik\r\nPietschmann for useful discussions. We are grateful to the anonymous referees for\r\ntheir careful reading and useful suggestions.","ec_funded":1},{"oa":1,"month":"09","external_id":{"arxiv":["2111.13445"],"isi":["000870759105034"]},"title":"How well do sparse ImageNet models transfer?","related_material":{"record":[{"id":"13074","status":"public","relation":"dissertation_contains"}]},"date_updated":"2026-08-12T06:34:08Z","_id":"12299","acknowledgement":"he authors would like to sincerely thank Christoph Lampert and Nir Shavit for fruitful discussions during the development of this work, and Eldar Kurtic for experimental support. EI was supported in part by the FWF DK VGSCO, grant agreement number W1260-N35, while AP and DA acknowledge generous support by the ERC, via Starting Grant 805223 ScaleML.","ec_funded":1,"oa_version":"Preprint","arxiv":1,"corr_author":"1","page":"12256-12266","project":[{"name":"Vienna Graduate School on Computational Optimization","_id":"9B9290DE-BA93-11EA-9121-9846C619BF3A","grant_number":"W1260-N35"},{"name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"805223"}],"year":"2022","conference":{"start_date":"2022-06-18","name":"CVPR: Computer Vision and Pattern Recognition","end_date":"2022-06-24","location":"New Orleans, LA, United States"},"article_processing_charge":"No","publication":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition","publication_status":"published","citation":{"ama":"Iofinova EB, Krumes A, Kurtz M, Alistarh D-A. How well do sparse ImageNet models transfer? In: <i>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition</i>. IEEE; 2022:12256-12266. doi:<a href=\"https://doi.org/10.1109/cvpr52688.2022.01195\">10.1109/cvpr52688.2022.01195</a>","chicago":"Iofinova, Eugenia B, Alexandra Krumes, Mark Kurtz, and Dan-Adrian Alistarh. “How Well Do Sparse ImageNet Models Transfer?” In <i>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition</i>, 12256–66. IEEE, 2022. <a href=\"https://doi.org/10.1109/cvpr52688.2022.01195\">https://doi.org/10.1109/cvpr52688.2022.01195</a>.","mla":"Iofinova, Eugenia B., et al. “How Well Do Sparse ImageNet Models Transfer?” <i>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition</i>, IEEE, 2022, pp. 12256–66, doi:<a href=\"https://doi.org/10.1109/cvpr52688.2022.01195\">10.1109/cvpr52688.2022.01195</a>.","ieee":"E. B. Iofinova, A. Krumes, M. Kurtz, and D.-A. Alistarh, “How well do sparse ImageNet models transfer?,” in <i>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition</i>, New Orleans, LA, United States, 2022, pp. 12256–12266.","short":"E.B. Iofinova, A. Krumes, M. Kurtz, D.-A. Alistarh, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2022, pp. 12256–12266.","ista":"Iofinova EB, Krumes A, Kurtz M, Alistarh D-A. 2022. How well do sparse ImageNet models transfer? 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 12256–12266.","apa":"Iofinova, E. B., Krumes, A., Kurtz, M., &#38; Alistarh, D.-A. (2022). How well do sparse ImageNet models transfer? In <i>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition</i> (pp. 12256–12266). New Orleans, LA, United States: IEEE. <a href=\"https://doi.org/10.1109/cvpr52688.2022.01195\">https://doi.org/10.1109/cvpr52688.2022.01195</a>"},"author":[{"full_name":"Iofinova, Eugenia B","last_name":"Iofinova","first_name":"Eugenia B","orcid":"0000-0002-7778-3221","id":"f9a17499-f6e0-11ea-865d-fdf9a3f77117"},{"last_name":"Peste","full_name":"Peste, Elena-Alexandra","id":"32D78294-F248-11E8-B48F-1D18A9856A87","first_name":"Elena-Alexandra"},{"last_name":"Kurtz","full_name":"Kurtz, Mark","first_name":"Mark"},{"full_name":"Alistarh, Dan-Adrian","last_name":"Alistarh","first_name":"Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["2575-7075"]},"doi":"10.1109/cvpr52688.2022.01195","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"DaAl"},{"_id":"ChLa"}],"type":"conference","date_created":"2023-01-16T10:06:00Z","publisher":"IEEE","scopus_import":"1","date_published":"2022-09-27T00:00:00Z","quality_controlled":"1","status":"public","abstract":[{"text":"Transfer learning is a classic paradigm by which models pretrained on large “upstream” datasets are adapted to yield good results on “downstream” specialized datasets. Generally, more accurate models on the “upstream” dataset tend to provide better transfer accuracy “downstream”. In this work, we perform an in-depth investigation of this phenomenon in the context of convolutional neural networks (CNNs) trained on the ImageNet dataset, which have been pruned-that is, compressed by sparsifiying their connections. We consider transfer using unstructured pruned models obtained by applying several state-of-the-art pruning methods, including magnitude-based, second-order, regrowth, lottery-ticket, and regularization approaches, in the context of twelve standard transfer tasks. In a nutshell, our study shows that sparse models can match or even outperform the transfer performance of dense models, even at high sparsities, and, while doing so, can lead to significant inference and even training speedups. At the same time, we observe and analyze significant differences in the behaviour of different pruning methods. The code is available at: https://github.com/IST-DASLab/sparse-imagenet-transfer.","lang":"eng"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2111.13445"}],"day":"27","isi":1},{"publication":"26th International Conference on Pattern Recognition","publication_status":"published","citation":{"apa":"Tomaszewska, P., &#38; Lampert, C. (2022). Lightweight conditional model extrapolation for streaming data under class-prior shift. In <i>26th International Conference on Pattern Recognition</i> (Vol. 2022, pp. 2128–2134). Montreal, Canada: IEEE. <a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">https://doi.org/10.1109/icpr56361.2022.9956195</a>","ista":"Tomaszewska P, Lampert C. 2022. Lightweight conditional model extrapolation for streaming data under class-prior shift. 26th International Conference on Pattern Recognition. ICPR: International Conference on Pattern Recognition vol. 2022, 2128–2134.","ieee":"P. Tomaszewska and C. Lampert, “Lightweight conditional model extrapolation for streaming data under class-prior shift,” in <i>26th International Conference on Pattern Recognition</i>, Montreal, Canada, 2022, vol. 2022, pp. 2128–2134.","short":"P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, IEEE, 2022, pp. 2128–2134.","mla":"Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.” <i>26th International Conference on Pattern Recognition</i>, vol. 2022, IEEE, 2022, pp. 2128–34, doi:<a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">10.1109/icpr56361.2022.9956195</a>.","ama":"Tomaszewska P, Lampert C. Lightweight conditional model extrapolation for streaming data under class-prior shift. In: <i>26th International Conference on Pattern Recognition</i>. Vol 2022. IEEE; 2022:2128-2134. doi:<a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">10.1109/icpr56361.2022.9956195</a>","chicago":"Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.” In <i>26th International Conference on Pattern Recognition</i>, 2022:2128–34. IEEE, 2022. <a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">https://doi.org/10.1109/icpr56361.2022.9956195</a>."},"author":[{"full_name":"Tomaszewska, Paulina","last_name":"Tomaszewska","first_name":"Paulina"},{"full_name":"Lampert, Christoph","last_name":"Lampert","orcid":"0000-0001-8622-7887","first_name":"Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87"}],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["2831-7475"],"eisbn":["9781665490627"]},"oa_version":"Preprint","corr_author":"1","arxiv":1,"page":"2128-2134","year":"2022","conference":{"name":"ICPR: International Conference on Pattern Recognition","start_date":"2022-08-21","location":"Montreal, Canada","end_date":"2022-08-25"},"article_processing_charge":"No","date_updated":"2026-08-12T06:35:14Z","_id":"12161","oa":1,"month":"11","volume":2022,"external_id":{"arxiv":["2206.05181"],"isi":["000897707602018"]},"title":"Lightweight conditional model extrapolation for streaming data under class-prior shift","intvolume":"      2022","day":"29","isi":1,"status":"public","abstract":[{"lang":"eng","text":"We introduce LIMES, a new method for learning with non-stationary streaming data, inspired by the recent success of meta-learning. The main idea is not to attempt to learn a single classifier that would have to work well across all occurring data distributions, nor many separate classifiers, but to exploit a hybrid strategy: we learn a single set of model parameters from which a specific classifier for any specific data distribution is derived via classifier adaptation. Assuming a multiclass classification setting with class-prior shift, the adaptation step can be performed analytically with only the classifier’s bias terms being affected. Another contribution of our work is an extrapolation step that predicts suitable adaptation parameters for future time steps based on the previous data. In combination, we obtain a lightweight procedure for learning from streaming data with varying class distribution that adds no trainable parameters and almost no memory or computational overhead compared to training a single model. Experiments on a set of exemplary tasks using Twitter data show that LIMES achieves higher accuracy than alternative approaches, especially with respect to the relevant real-world metric of lowest within-day accuracy."}],"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2206.05181","open_access":"1"}],"type":"conference","publisher":"IEEE","date_created":"2023-01-12T12:09:38Z","scopus_import":"1","quality_controlled":"1","date_published":"2022-11-29T00:00:00Z","doi":"10.1109/icpr56361.2022.9956195","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"ChLa"}]},{"publication":"42nd International Conference on Distributed Computing Systems Workshops","citation":{"mla":"De la Rocha, Alfonso, et al. “Hierarchical Consensus: A Horizontal Scaling Framework for Blockchains.” <i>42nd International Conference on Distributed Computing Systems Workshops</i>, vol. 2022, IEEE, 2022, pp. 45–52, doi:<a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">10.1109/icdcsw56584.2022.00018</a>.","ama":"De la Rocha A, Kokoris Kogias E, Soares JM, Vukolic M. Hierarchical consensus: A horizontal scaling framework for blockchains. In: <i>42nd International Conference on Distributed Computing Systems Workshops</i>. Vol 2022. IEEE; 2022:45-52. doi:<a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">10.1109/icdcsw56584.2022.00018</a>","chicago":"De la Rocha, Alfonso, Eleftherios Kokoris Kogias, Jorge M. Soares, and Marko Vukolic. “Hierarchical Consensus: A Horizontal Scaling Framework for Blockchains.” In <i>42nd International Conference on Distributed Computing Systems Workshops</i>, 2022:45–52. IEEE, 2022. <a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">https://doi.org/10.1109/icdcsw56584.2022.00018</a>.","apa":"De la Rocha, A., Kokoris Kogias, E., Soares, J. M., &#38; Vukolic, M. (2022). Hierarchical consensus: A horizontal scaling framework for blockchains. In <i>42nd International Conference on Distributed Computing Systems Workshops</i> (Vol. 2022, pp. 45–52). Bologna, Italy: IEEE. <a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">https://doi.org/10.1109/icdcsw56584.2022.00018</a>","ista":"De la Rocha A, Kokoris Kogias E, Soares JM, Vukolic M. 2022. Hierarchical consensus: A horizontal scaling framework for blockchains. 42nd International Conference on Distributed Computing Systems Workshops. ICDCSW: International Conference on Distributed Computing Systems Workshop vol. 2022, 45–52.","short":"A. De la Rocha, E. Kokoris Kogias, J.M. Soares, M. Vukolic, in:, 42nd International Conference on Distributed Computing Systems Workshops, IEEE, 2022, pp. 45–52.","ieee":"A. De la Rocha, E. Kokoris Kogias, J. M. Soares, and M. Vukolic, “Hierarchical consensus: A horizontal scaling framework for blockchains,” in <i>42nd International Conference on Distributed Computing Systems Workshops</i>, Bologna, Italy, 2022, vol. 2022, pp. 45–52."},"publication_status":"published","author":[{"full_name":"De la Rocha, Alfonso","last_name":"De la Rocha","first_name":"Alfonso"},{"full_name":"Kokoris Kogias, Eleftherios","last_name":"Kokoris Kogias","orcid":"0000-0002-8827-3382","first_name":"Eleftherios","id":"f5983044-d7ef-11ea-ac6d-fd1430a26d30"},{"first_name":"Jorge M.","last_name":"Soares","full_name":"Soares, Jorge M."},{"full_name":"Vukolic, Marko","last_name":"Vukolic","first_name":"Marko"}],"publication_identifier":{"eisbn":["9781665488792"],"eissn":["2332-5666"]},"language":[{"iso":"eng"}],"oa_version":"None","page":"45-52","year":"2022","conference":{"start_date":"2022-07-10","name":"ICDCSW: International Conference on Distributed Computing Systems Workshop","end_date":"2022-07-10","location":"Bologna, Italy"},"article_processing_charge":"No","date_updated":"2026-08-12T06:34:42Z","_id":"12160","volume":2022,"month":"11","external_id":{"isi":["000895984800009"]},"intvolume":"      2022","title":"Hierarchical consensus: A horizontal scaling framework for blockchains","day":"29","isi":1,"status":"public","abstract":[{"text":"We present the Filecoin Hierarchical Consensus framework, which aims to overcome the throughput challenges of blockchain consensus by horizontally scaling the network. Unlike traditional sharding designs, based on partitioning the state of the network, our solution centers on the concept of subnets -which are organized hierarchically- and can be spawned on-demand to manage new state. Child sub nets are firewalled from parent subnets, have their own specific policies, and run a different consensus algorithm, increasing the network capacity and enabling new applications. Moreover, they benefit from the security of parent subnets by periodically checkpointing state. In this paper, we introduce the overall system architecture, our detailed designs for cross-net transaction handling, and the open questions that we are still exploring.","lang":"eng"}],"type":"conference","scopus_import":"1","publisher":"IEEE","date_created":"2023-01-12T12:09:28Z","date_published":"2022-11-29T00:00:00Z","quality_controlled":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1109/icdcsw56584.2022.00018","department":[{"_id":"ElKo"}]},{"title":"Solving the Hamilton cycle problem fast on average","external_id":{"isi":["000909382900084"]},"month":"12","volume":"2022-October","ec_funded":1,"acknowledgement":"This project has received funding from the European Union’s Horizon 2020\r\nresearch and innovation programme under the Marie Skłodowska-Curie grant\r\nagreement No 101034413","_id":"12432","date_updated":"2026-08-12T06:34:24Z","conference":{"name":"FOCS: Foundations of Computer Science","start_date":"2022-10-31","location":"Denver, CO, United States","end_date":"2022-11-03"},"article_processing_charge":"No","year":"2022","page":"919-930","project":[{"grant_number":"101034413","call_identifier":"H2020","name":"IST-BRIDGE: International postdoctoral program","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c"}],"corr_author":"1","oa_version":"None","publication_identifier":{"isbn":["9781665455190"],"issn":["0272-5428"]},"language":[{"iso":"eng"}],"author":[{"first_name":"Michael","id":"0b2a4358-bb35-11ec-b7b9-e3279b593dbb","full_name":"Anastos, Michael","last_name":"Anastos"}],"citation":{"short":"M. Anastos, in:, 63rd Annual IEEE Symposium on Foundations of Computer Science, IEEE, 2022, pp. 919–930.","ieee":"M. Anastos, “Solving the Hamilton cycle problem fast on average,” in <i>63rd Annual IEEE Symposium on Foundations of Computer Science</i>, Denver, CO, United States, 2022, vol. 2022–October, pp. 919–930.","apa":"Anastos, M. (2022). Solving the Hamilton cycle problem fast on average. In <i>63rd Annual IEEE Symposium on Foundations of Computer Science</i> (Vol. 2022–October, pp. 919–930). Denver, CO, United States: IEEE. <a href=\"https://doi.org/10.1109/FOCS54457.2022.00091\">https://doi.org/10.1109/FOCS54457.2022.00091</a>","ista":"Anastos M. 2022. Solving the Hamilton cycle problem fast on average. 63rd Annual IEEE Symposium on Foundations of Computer Science. FOCS: Foundations of Computer Science vol. 2022–October, 919–930.","chicago":"Anastos, Michael. “Solving the Hamilton Cycle Problem Fast on Average.” In <i>63rd Annual IEEE Symposium on Foundations of Computer Science</i>, 2022–October:919–30. IEEE, 2022. <a href=\"https://doi.org/10.1109/FOCS54457.2022.00091\">https://doi.org/10.1109/FOCS54457.2022.00091</a>.","ama":"Anastos M. Solving the Hamilton cycle problem fast on average. In: <i>63rd Annual IEEE Symposium on Foundations of Computer Science</i>. Vol 2022-October. IEEE; 2022:919-930. doi:<a href=\"https://doi.org/10.1109/FOCS54457.2022.00091\">10.1109/FOCS54457.2022.00091</a>","mla":"Anastos, Michael. “Solving the Hamilton Cycle Problem Fast on Average.” <i>63rd Annual IEEE Symposium on Foundations of Computer Science</i>, vol. 2022–October, IEEE, 2022, pp. 919–30, doi:<a href=\"https://doi.org/10.1109/FOCS54457.2022.00091\">10.1109/FOCS54457.2022.00091</a>."},"publication_status":"published","publication":"63rd Annual IEEE Symposium on Foundations of Computer Science","department":[{"_id":"MaKw"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1109/FOCS54457.2022.00091","quality_controlled":"1","date_published":"2022-12-01T00:00:00Z","scopus_import":"1","date_created":"2023-01-29T23:00:59Z","publisher":"IEEE","type":"conference","abstract":[{"lang":"eng","text":"We present CertifyHAM, a deterministic algorithm that takes a graph G as input and either finds a Hamilton cycle of G or outputs that such a cycle does not exist. If G ∼ G(n, p) and p ≥\r\n100 log n/n then the expected running time of CertifyHAM is O(n/p) which is best possible. This improves upon previous results due to Gurevich and Shelah, Thomason and Alon, and\r\nKrivelevich, who proved analogous results for p being constant, p ≥ 12n −1/3 and p ≥ 70n\r\n−1/2 respectively."}],"status":"public","isi":1,"day":"01"},{"oa_version":"None","page":"2535-2540","year":"2022","article_processing_charge":"No","conference":{"start_date":"2022-06-26","name":"ISIT: Internation Symposium on Information Theory","end_date":"2022-07-01","location":"Espoo, Finland"},"publication":"2022 IEEE International Symposium on Information Theory","publication_status":"published","citation":{"ista":"Yadav AK, Alimohammadi M, Zhang Y, Budkuley AJ, Jaggi S. 2022. New results on AVCs with omniscient and myopic adversaries. 2022 IEEE International Symposium on Information Theory. ISIT: Internation Symposium on Information Theory vol. 2022, 2535–2540.","apa":"Yadav, A. K., Alimohammadi, M., Zhang, Y., Budkuley, A. J., &#38; Jaggi, S. (2022). New results on AVCs with omniscient and myopic adversaries. In <i>2022 IEEE International Symposium on Information Theory</i> (Vol. 2022, pp. 2535–2540). Espoo, Finland: IEEE. <a href=\"https://doi.org/10.1109/ISIT50566.2022.9834632\">https://doi.org/10.1109/ISIT50566.2022.9834632</a>","ieee":"A. K. Yadav, M. Alimohammadi, Y. Zhang, A. J. Budkuley, and S. Jaggi, “New results on AVCs with omniscient and myopic adversaries,” in <i>2022 IEEE International Symposium on Information Theory</i>, Espoo, Finland, 2022, vol. 2022, pp. 2535–2540.","short":"A.K. Yadav, M. Alimohammadi, Y. Zhang, A.J. Budkuley, S. Jaggi, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 2535–2540.","mla":"Yadav, Anuj Kumar, et al. “New Results on AVCs with Omniscient and Myopic Adversaries.” <i>2022 IEEE International Symposium on Information Theory</i>, vol. 2022, IEEE, 2022, pp. 2535–40, doi:<a href=\"https://doi.org/10.1109/ISIT50566.2022.9834632\">10.1109/ISIT50566.2022.9834632</a>.","ama":"Yadav AK, Alimohammadi M, Zhang Y, Budkuley AJ, Jaggi S. New results on AVCs with omniscient and myopic adversaries. In: <i>2022 IEEE International Symposium on Information Theory</i>. Vol 2022. IEEE; 2022:2535-2540. doi:<a href=\"https://doi.org/10.1109/ISIT50566.2022.9834632\">10.1109/ISIT50566.2022.9834632</a>","chicago":"Yadav, Anuj Kumar, Mohammadreza Alimohammadi, Yihan Zhang, Amitalok J. Budkuley, and Sidharth Jaggi. “New Results on AVCs with Omniscient and Myopic Adversaries.” In <i>2022 IEEE International Symposium on Information Theory</i>, 2022:2535–40. IEEE, 2022. <a href=\"https://doi.org/10.1109/ISIT50566.2022.9834632\">https://doi.org/10.1109/ISIT50566.2022.9834632</a>."},"author":[{"full_name":"Yadav, Anuj Kumar","last_name":"Yadav","first_name":"Anuj Kumar"},{"first_name":"Mohammadreza","last_name":"Alimohammadi","full_name":"Alimohammadi, Mohammadreza"},{"orcid":"0000-0002-6465-6258","first_name":"Yihan","id":"2ce5da42-b2ea-11eb-bba5-9f264e9d002c","full_name":"Zhang, Yihan","last_name":"Zhang"},{"first_name":"Amitalok J.","full_name":"Budkuley, Amitalok J.","last_name":"Budkuley"},{"last_name":"Jaggi","full_name":"Jaggi, Sidharth","first_name":"Sidharth"}],"language":[{"iso":"eng"}],"publication_identifier":{"isbn":["9781665421591"],"issn":["2157-8095"]},"volume":2022,"month":"08","external_id":{"isi":["001254261902116"]},"title":"New results on AVCs with omniscient and myopic adversaries","intvolume":"      2022","date_updated":"2026-08-12T06:36:54Z","_id":"12017","status":"public","abstract":[{"text":"In the classic adversarial communication problem, two parties communicate over a noisy channel in the presence of a malicious jamming adversary. The arbitrarily varying channels (AVCs) offer an elegant framework to study a wide range of interesting adversary models. The optimal throughput or capacity over such AVCs is intimately tied to the underlying adversary model; in some cases, capacity is unknown and the problem is known to be notoriously hard. The omniscient adversary, one which knows the sender’s entire channel transmission a priori, is one of such classic models of interest; the capacity under such an adversary remains an exciting open problem. The myopic adversary is a generalization of that model where the adversary’s observation may be corrupted over a noisy discrete memoryless channel. Through the adversary’s myopicity, one can unify the slew of different adversary models, ranging from the omniscient adversary to one that is completely blind to the transmission (the latter is the well known oblivious model where the capacity is fully characterized).In this work, we present new results on the capacity under both the omniscient and myopic adversary models. We completely characterize the positive capacity threshold over general AVCs with omniscient adversaries. The characterization is in terms of two key combinatorial objects: the set of completely positive distributions and the CP-confusability set. For omniscient AVCs with positive capacity, we present non-trivial lower and upper bounds on the capacity; unlike some of the previous bounds, our bounds hold under fairly general input and jamming constraints. Our lower bound improves upon the generalized Gilbert-Varshamov bound for general AVCs while the upper bound generalizes the well known Elias-Bassalygo bound (known for binary and q-ary alphabets). For the myopic AVCs, we build on prior results known for the so-called sufficiently myopic model, and present new results on the positive rate communication threshold over the so-called insufficiently myopic regime (a completely insufficient myopic adversary specializes to an omniscient adversary). We present interesting examples for the widely studied models of adversarial bit-flip and bit-erasure channels. In fact, for the bit-flip AVC with additive adversarial noise as well as random noise, we completely characterize the omniscient model capacity when the random noise is sufficiently large vis-a-vis the adversary’s budget.","lang":"eng"}],"day":"03","isi":1,"doi":"10.1109/ISIT50566.2022.9834632","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"MaMo"}],"type":"conference","date_created":"2022-09-04T22:02:06Z","publisher":"IEEE","scopus_import":"1","quality_controlled":"1","date_published":"2022-08-03T00:00:00Z"},{"department":[{"_id":"MaMo"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1109/ISIT50566.2022.9834815","type":"conference","date_published":"2022-08-03T00:00:00Z","quality_controlled":"1","scopus_import":"1","date_created":"2022-09-04T22:02:06Z","publisher":"IEEE","abstract":[{"lang":"eng","text":"We study the problem of characterizing the maximal rates of list decoding in Euclidean spaces for finite list sizes. For any positive integer L ≥ 2 and real N > 0, we say that a subset C⊂Rn is an (N,L – 1)-multiple packing or an (N,L– 1)-list decodable code if every Euclidean ball of radius nN−−−√ in ℝ n contains no more than L − 1 points of C. We study this problem with and without ℓ 2 norm constraints on C, and derive the best-known lower bounds on the maximal rate for (N,L−1) multiple packing. Our bounds are obtained via error exponents for list decoding over Additive White Gaussian Noise (AWGN) channels. We establish a curious inequality which relates the error exponent, a quantity of average-case nature, to the list-decoding radius, a quantity of worst-case nature. We derive various bounds on the error exponent for list decoding in both bounded and unbounded settings which could be of independent interest beyond multiple packing."}],"status":"public","day":"03","isi":1,"external_id":{"isi":["001254261901080"]},"month":"08","volume":2022,"intvolume":"      2022","title":"Lower bounds on list decoding capacity using error exponents","_id":"12018","date_updated":"2026-08-12T06:37:09Z","page":"1324-1329","oa_version":"None","article_processing_charge":"No","conference":{"name":"ISIT: International Symposium on Information Theory","start_date":"2022-06-26","location":"Espoo, Finland","end_date":"2022-07-01"},"year":"2022","citation":{"ieee":"Y. Zhang and S. Vatedka, “Lower bounds on list decoding capacity using error exponents,” in <i>2022 IEEE International Symposium on Information Theory</i>, Espoo, Finland, 2022, vol. 2022, pp. 1324–1329.","short":"Y. Zhang, S. Vatedka, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 1324–1329.","ista":"Zhang Y, Vatedka S. 2022. Lower bounds on list decoding capacity using error exponents. 2022 IEEE International Symposium on Information Theory. ISIT: International Symposium on Information Theory vol. 2022, 1324–1329.","apa":"Zhang, Y., &#38; Vatedka, S. (2022). Lower bounds on list decoding capacity using error exponents. In <i>2022 IEEE International Symposium on Information Theory</i> (Vol. 2022, pp. 1324–1329). Espoo, Finland: IEEE. <a href=\"https://doi.org/10.1109/ISIT50566.2022.9834815\">https://doi.org/10.1109/ISIT50566.2022.9834815</a>","chicago":"Zhang, Yihan, and Shashank Vatedka. “Lower Bounds on List Decoding Capacity Using Error Exponents.” In <i>2022 IEEE International Symposium on Information Theory</i>, 2022:1324–29. IEEE, 2022. <a href=\"https://doi.org/10.1109/ISIT50566.2022.9834815\">https://doi.org/10.1109/ISIT50566.2022.9834815</a>.","ama":"Zhang Y, Vatedka S. Lower bounds on list decoding capacity using error exponents. In: <i>2022 IEEE International Symposium on Information Theory</i>. Vol 2022. IEEE; 2022:1324-1329. doi:<a href=\"https://doi.org/10.1109/ISIT50566.2022.9834815\">10.1109/ISIT50566.2022.9834815</a>","mla":"Zhang, Yihan, and Shashank Vatedka. “Lower Bounds on List Decoding Capacity Using Error Exponents.” <i>2022 IEEE International Symposium on Information Theory</i>, vol. 2022, IEEE, 2022, pp. 1324–29, doi:<a href=\"https://doi.org/10.1109/ISIT50566.2022.9834815\">10.1109/ISIT50566.2022.9834815</a>."},"publication_status":"published","publication":"2022 IEEE International Symposium on Information Theory","publication_identifier":{"isbn":["9781665421591"],"issn":["2157-8095"]},"language":[{"iso":"eng"}],"author":[{"id":"2ce5da42-b2ea-11eb-bba5-9f264e9d002c","orcid":"0000-0002-6465-6258","first_name":"Yihan","last_name":"Zhang","full_name":"Zhang, Yihan"},{"last_name":"Vatedka","full_name":"Vatedka, Shashank","first_name":"Shashank"}]},{"isi":1,"day":"03","abstract":[{"lang":"eng","text":"This paper studies combinatorial properties of codes for the Z-channel. A Z-channel with error fraction τ takes as input a length-n binary codeword and injects in an adversarial manner up to nτ asymmetric errors, i.e., errors that only zero out bits but do not flip 0’s to 1’s. It is known that the largest (L − 1)-list-decodable code for the Z-channel with error fraction τ has exponential (in n) size if τ is less than a critical value that we call the Plotkin point and has constant size if τ is larger than the threshold. The (L−1)-list-decoding Plotkin point is known to be L−1L−1−L−LL−1. In this paper, we show that the largest (L−1)-list-decodable code ε-above the Plotkin point has size Θ L (ε −3/2 ) for any L − 1 ≥ 1."}],"status":"public","quality_controlled":"1","date_published":"2022-08-03T00:00:00Z","scopus_import":"1","date_created":"2022-09-04T22:02:07Z","publisher":"IEEE","type":"conference","department":[{"_id":"MaMo"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1109/ISIT50566.2022.9834829","publication_identifier":{"issn":["2157-8095"],"isbn":["9781665421591"]},"language":[{"iso":"eng"}],"author":[{"first_name":"Nikita","last_name":"Polyanskii","full_name":"Polyanskii, Nikita"},{"last_name":"Zhang","full_name":"Zhang, Yihan","id":"2ce5da42-b2ea-11eb-bba5-9f264e9d002c","orcid":"0000-0002-6465-6258","first_name":"Yihan"}],"citation":{"ama":"Polyanskii N, Zhang Y. List-decodable zero-rate codes for the Z-channel. In: <i>2022 IEEE International Symposium on Information Theory</i>. Vol 2022. IEEE; 2022:2553-2558. doi:<a href=\"https://doi.org/10.1109/ISIT50566.2022.9834829\">10.1109/ISIT50566.2022.9834829</a>","chicago":"Polyanskii, Nikita, and Yihan Zhang. “List-Decodable Zero-Rate Codes for the Z-Channel.” In <i>2022 IEEE International Symposium on Information Theory</i>, 2022:2553–58. IEEE, 2022. <a href=\"https://doi.org/10.1109/ISIT50566.2022.9834829\">https://doi.org/10.1109/ISIT50566.2022.9834829</a>.","mla":"Polyanskii, Nikita, and Yihan Zhang. “List-Decodable Zero-Rate Codes for the Z-Channel.” <i>2022 IEEE International Symposium on Information Theory</i>, vol. 2022, IEEE, 2022, pp. 2553–58, doi:<a href=\"https://doi.org/10.1109/ISIT50566.2022.9834829\">10.1109/ISIT50566.2022.9834829</a>.","short":"N. Polyanskii, Y. Zhang, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 2553–2558.","ieee":"N. Polyanskii and Y. Zhang, “List-decodable zero-rate codes for the Z-channel,” in <i>2022 IEEE International Symposium on Information Theory</i>, Espoo, Finland, 2022, vol. 2022, pp. 2553–2558.","apa":"Polyanskii, N., &#38; Zhang, Y. (2022). List-decodable zero-rate codes for the Z-channel. In <i>2022 IEEE International Symposium on Information Theory</i> (Vol. 2022, pp. 2553–2558). Espoo, Finland: IEEE. <a href=\"https://doi.org/10.1109/ISIT50566.2022.9834829\">https://doi.org/10.1109/ISIT50566.2022.9834829</a>","ista":"Polyanskii N, Zhang Y. 2022. List-decodable zero-rate codes for the Z-channel. 2022 IEEE International Symposium on Information Theory. ISIT: International Symposium on Information Theory vol. 2022, 2553–2558."},"publication_status":"published","publication":"2022 IEEE International Symposium on Information Theory","article_processing_charge":"No","conference":{"end_date":"2022-07-01","location":"Espoo, Finland","start_date":"2022-06-26","name":"ISIT: International Symposium on Information Theory"},"year":"2022","page":"2553-2558","oa_version":"None","_id":"12019","date_updated":"2026-08-12T06:37:29Z","intvolume":"      2022","title":"List-decodable zero-rate codes for the Z-channel","external_id":{"isi":["001254261902119"]},"volume":2022,"month":"08"}]