Shaw, Thomas E., et al. “Distributed Summer Air Temperatures across Mountain Glaciers in the South-East Tibetan Plateau: Temperature Sensitivity and Comparison with Existing Glacier Datasets.”10.5194/tc-15-595-2021__The Cryosphere, vol. 15, no. 2, Copernicus Publications, 2021, pp. 595–614, doi:10.5194/tc-15-595-2021.
LibreCat: https://research-explorer.ista.ac.at/record/12589
DOI: 10.5194/tc-15-595-2021

Kneib, M., et al. “Interannual Dynamics of Ice Cliff Populations on Debriscovered Glaciers from Remote Sensing Observations and Stochastic Modeling.”10.1029/2021jf006179__Journal of Geophysical Research: Earth Surface, vol. 126, no. 10, e2021J6179, American Geophysical Union, 2021, doi:10.1029/2021jf006179.
LibreCat: https://research-explorer.ista.ac.at/record/12586
DOI: 10.1029/2021jf006179

Stewart, Rebecca L., et al. “Using Climate Reanalysis Data in Conjunction with Multi-Temporal Satellite Thermal Imagery to Derive Supraglacial Debris Thickness Changes from Energy-Balance Modelling.”10.1017/jog.2020.111__Journal of Glaciology, vol. 67, no. 262, Cambridge University Press, 2021, pp. 366–84, doi:10.1017/jog.2020.111.
LibreCat: https://research-explorer.ista.ac.at/record/12587
DOI: 10.1017/jog.2020.111

Miles, Evan, et al. “Health and Sustainability of Glaciers in High Mountain Asia.”10.1038/s41467-021-23073-4__Nature Communications, vol. 12, 2868, Springer Nature, 2021, doi:10.1038/s41467-021-23073-4.
LibreCat: https://research-explorer.ista.ac.at/record/12585
DOI: 10.1038/s41467-021-23073-4

Buri, Pascal, et al. “Supraglacial Ice Cliffs Can Substantially Increase the Mass Loss of Debriscovered Glaciers.”10.1029/2020gl092150__Geophysical Research Letters, vol. 48, no. 6, e2020GL092150, American Geophysical Union, 2021, doi:10.1029/2020gl092150.
LibreCat: https://research-explorer.ista.ac.at/record/12588
DOI: 10.1029/2020gl092150

Fyffe, Catriona L., et al. “The Energy and Mass Balance of Peruvian Glaciers.”10.1029/2021jd034911__Journal of Geophysical Research: Atmospheres, vol. 126, no. 23, e2021J4911, American Geophysical Union, 2021, doi:10.1029/2021jd034911.
LibreCat: https://research-explorer.ista.ac.at/record/12583
DOI: 10.1029/2021jd034911

Bansal, Suguman, et al. “On Satisficing in Quantitative Games.”10.1007/978-3-030-72016-2__27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, vol. 12651, Springer Nature, 2021, pp. 20–37, doi:10.1007/978-3-030-72016-2.
LibreCat: https://research-explorer.ista.ac.at/record/12767
DOI: 10.1007/978-3-030-72016-2
arXiv: 2101.02594

Hensel, Sebastian, and Tim Laux. “A New Varifold Solution Concept for Mean Curvature Flow: Convergence of  the Allen-Cahn Equation and Weak-Strong Uniqueness.”10.48550/arXiv.2109.04233__ArXiv, 2109.04233, doi:10.48550/arXiv.2109.04233.
LibreCat: https://research-explorer.ista.ac.at/record/10011
DOI: 10.48550/arXiv.2109.04233
arXiv: 2109.04233

Arguin, Louis-Pierre, et al. “Maxima of a Random Model of the Riemann Zeta Function over Intervals of Varying Length.”10.48550/arXiv.2103.04817__ArXiv, 2103.04817, doi:10.48550/arXiv.2103.04817.
LibreCat: https://research-explorer.ista.ac.at/record/9230
DOI: 10.48550/arXiv.2103.04817
arXiv: 2103.04817

Dubach, Guillaume, and Fabian Mühlböck. “Formal Verification of Zagier’s One-Sentence Proof.”10.48550/arXiv.2103.11389__ArXiv, 2103.11389, doi:10.48550/arXiv.2103.11389.
LibreCat: https://research-explorer.ista.ac.at/record/9281
DOI: 10.48550/arXiv.2103.11389
arXiv: 2103.11389

Kavcic, Bor, and Gasper Tkadik. “Token-Driven Totally Asymmetric Simple Exclusion Process.”10.48550/arXiv.2112.13558__ArXiv, 2112.13558, doi:10.48550/arXiv.2112.13558.
LibreCat: https://research-explorer.ista.ac.at/record/10579
DOI: 10.48550/arXiv.2112.13558
arXiv: 2112.13558

Calcabrini, Mariano, et al. “Ligand Conversion in Nanocrystal Synthesis: The Oxidation of Alkylamines to Fatty Acids by Nitrate.”10.1021/jacsau.1c00349__JACS Au, vol. 1, no. 11, American Chemical Society, 2021, pp. 1898–903, doi:10.1021/jacsau.1c00349.
LibreCat: https://research-explorer.ista.ac.at/record/10806
DOI: 10.1021/jacsau.1c00349

Keith, John A., et al. “Combining Machine Learning and Computational Chemistry for Predictive Insights into Chemical Systems.”10.1021/acs.chemrev.1c00107__Chemical Reviews, vol. 121, no. 16, American Chemical Society, 2021, pp. 9816–72, doi:10.1021/acs.chemrev.1c00107.
LibreCat: https://research-explorer.ista.ac.at/record/9698
DOI: 10.1021/acs.chemrev.1c00107
arXiv: 2102.06321

Verzobio, Matteo. “Primitive Divisors of Elliptic Divisibility Sequences for Elliptic Curves with J=1728.”10.4064/aa191016-30-7__Acta Arithmetica, vol. 198, no. 2, Institute of Mathematics, Polish Academy of Sciences, 2021, pp. 129–68, doi:10.4064/aa191016-30-7.
LibreCat: https://research-explorer.ista.ac.at/record/12309
DOI: 10.4064/aa191016-30-7
arXiv: 2001.09634

Verzobio, Matteo. “Primitive Divisors of Sequences Associated to Elliptic Curves with Complex Multiplication.”10.1007/s40993-021-00267-9__Research in Number Theory, vol. 7, no. 2, 37, Springer Nature, 2021, doi:10.1007/s40993-021-00267-9.
LibreCat: https://research-explorer.ista.ac.at/record/12308
DOI: 10.1007/s40993-021-00267-9

Schlögl, Alois, et al. “Managing Software on a Heterogenous HPC Cluster.”10.3359/2021hpc__ASHP – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5, doi:10.3359/2021hpc.
LibreCat: https://research-explorer.ista.ac.at/record/12909
DOI: 10.3359/2021hpc

Peste, Elena-Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.
LibreCat: https://research-explorer.ista.ac.at/record/11458
arXiv: 2106.12379

Brooks, Morris, et al. “Emergence of Anyons on the Two-Sphere in Molecular Impurities.”10.3390/atoms9040106__Atoms, vol. 9, no. 4, 106, MDPI, 2021, doi:10.3390/atoms9040106.
LibreCat: https://research-explorer.ista.ac.at/record/10585
DOI: 10.3390/atoms9040106
arXiv: 2108.06966

Alimisis, Foivos, et al. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 196–206.
LibreCat: https://research-explorer.ista.ac.at/record/13147
arXiv: 2102.07214

Nguyen, Quynh, et al. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 8119–29.
LibreCat: https://research-explorer.ista.ac.at/record/13146
arXiv: 2012.11654