[{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"11","publication_status":"published","type":"journal_article","abstract":[{"text":"Guidelines to predict trends in the electrical conductance of molecules have been developed for the π-system of conjugated systems. Little is known, however, about the conductance of the underlying σ-systems because the π-system usually dominates the transport. Here we study a family of bipyridine-based molecules using STM-break junction experiments and density functional theory transport calculations. We use different lengths and substitution patterns to probe the role of both the σ-system and the π-system in controlling conductance. By exploiting the destructive interference feature found in the π-system of the meta-coupled six-membered aromatic rings, we show that the conductance of the σ-system of a meta-coupled molecule can be probed directly and can even exceed that of its para-coupled analog. These results add to the understanding of the conductance through the chemically hidden σ-electrons.","lang":"eng"}],"quality_controlled":"1","day":"10","pmid":1,"oa_version":"None","status":"public","title":"Probing the conductance of the σ-system of bipyridine using destructive interference","external_id":{"pmid":["27934052"]},"doi":"10.1021/acs.jpclett.6b02494","citation":{"mla":"Borges, Anders, et al. “Probing the Conductance of the σ-System of Bipyridine Using Destructive Interference.” <i>The Journal of Physical Chemistry Letters</i>, vol. 7, no. 23, American Chemical Society, 2016, pp. 4825–29, doi:<a href=\"https://doi.org/10.1021/acs.jpclett.6b02494\">10.1021/acs.jpclett.6b02494</a>.","chicago":"Borges, Anders, E-Dean Fung, Fay Ng, Latha Venkataraman, and Gemma C. Solomon. “Probing the Conductance of the σ-System of Bipyridine Using Destructive Interference.” <i>The Journal of Physical Chemistry Letters</i>. American Chemical Society, 2016. <a href=\"https://doi.org/10.1021/acs.jpclett.6b02494\">https://doi.org/10.1021/acs.jpclett.6b02494</a>.","apa":"Borges, A., Fung, E.-D., Ng, F., Venkataraman, L., &#38; Solomon, G. C. (2016). Probing the conductance of the σ-system of bipyridine using destructive interference. <i>The Journal of Physical Chemistry Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.jpclett.6b02494\">https://doi.org/10.1021/acs.jpclett.6b02494</a>","ieee":"A. Borges, E.-D. Fung, F. Ng, L. Venkataraman, and G. C. Solomon, “Probing the conductance of the σ-system of bipyridine using destructive interference,” <i>The Journal of Physical Chemistry Letters</i>, vol. 7, no. 23. American Chemical Society, pp. 4825–4829, 2016.","short":"A. Borges, E.-D. Fung, F. Ng, L. Venkataraman, G.C. Solomon, The Journal of Physical Chemistry Letters 7 (2016) 4825–4829.","ista":"Borges A, Fung E-D, Ng F, Venkataraman L, Solomon GC. 2016. Probing the conductance of the σ-system of bipyridine using destructive interference. The Journal of Physical Chemistry Letters. 7(23), 4825–4829.","ama":"Borges A, Fung E-D, Ng F, Venkataraman L, Solomon GC. Probing the conductance of the σ-system of bipyridine using destructive interference. <i>The Journal of Physical Chemistry Letters</i>. 2016;7(23):4825-4829. doi:<a href=\"https://doi.org/10.1021/acs.jpclett.6b02494\">10.1021/acs.jpclett.6b02494</a>"},"publication":"The Journal of Physical Chemistry Letters","OA_type":"closed access","article_type":"letter_note","date_updated":"2024-12-18T08:47:29Z","volume":7,"intvolume":"         7","publication_identifier":{"eissn":["1948-7185"]},"extern":"1","issue":"23","date_created":"2024-09-09T09:22:48Z","scopus_import":"1","_id":"17954","language":[{"iso":"eng"}],"article_processing_charge":"No","publisher":"American Chemical Society","page":"4825-4829","author":[{"first_name":"Anders","full_name":"Borges, Anders","last_name":"Borges"},{"full_name":"Fung, E-Dean","first_name":"E-Dean","last_name":"Fung"},{"last_name":"Ng","full_name":"Ng, Fay","first_name":"Fay"},{"full_name":"Venkataraman, Latha","first_name":"Latha","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","last_name":"Venkataraman","orcid":"0000-0002-6957-6089"},{"last_name":"Solomon","full_name":"Solomon, Gemma C.","first_name":"Gemma C."}],"date_published":"2016-11-10T00:00:00Z"},{"extern":"1","issue":"36","date_created":"2024-09-09T09:23:39Z","main_file_link":[{"url":"https://doi.org/10.1039/C6NR04830G","open_access":"1"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/3.0/legalcode","short":"CC BY-NC (3.0)","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)"},"publication_identifier":{"issn":["2040-3364"],"eissn":["2040-3372"]},"publisher":"Royal Society of Chemistry","language":[{"iso":"eng"}],"article_processing_charge":"Yes (in subscription journal)","date_published":"2016-08-16T00:00:00Z","author":[{"last_name":"Koepf","full_name":"Koepf, Matthieu","first_name":"Matthieu"},{"last_name":"Koenigsmann","full_name":"Koenigsmann, Christopher","first_name":"Christopher"},{"last_name":"Ding","full_name":"Ding, Wendu","first_name":"Wendu"},{"last_name":"Batra","full_name":"Batra, Arunbah","first_name":"Arunbah"},{"last_name":"Negre","full_name":"Negre, Christian F. A.","first_name":"Christian F. A."},{"full_name":"Venkataraman, Latha","first_name":"Latha","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","last_name":"Venkataraman"},{"last_name":"Brudvig","full_name":"Brudvig, Gary W.","first_name":"Gary W."},{"full_name":"Batista, Victor S.","first_name":"Victor S.","last_name":"Batista"},{"full_name":"Schmuttenmaer, Charles A.","first_name":"Charles A.","last_name":"Schmuttenmaer"},{"first_name":"Robert H.","full_name":"Crabtree, Robert H.","last_name":"Crabtree"}],"page":"16357-16362","scopus_import":"1","OA_place":"publisher","_id":"17955","oa_version":"Published Version","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"08","abstract":[{"lang":"eng","text":"The development of molecular components functioning as switches, rectifiers or amplifiers is a great challenge in molecular electronics. A desirable property of such components is functional robustness, meaning that the intrinsic functionality of components must be preserved regardless of the strategy used to integrate them into the final assemblies. Here, this issue is investigated for molecular diodes based on N-phenylbenzamide (NPBA) backbones. The transport properties of molecular junctions derived from NPBA are characterized while varying the nature of the functional groups interfacing the backbone and the gold electrodes required for break-junction measurements. Combining experimental and theoretical methods, it is shown that at low bias (<0.85 V) transport is determined by the same frontier molecular orbital originating from the NPBA core, regardless of the anchoring group employed. The magnitude of rectification, however, is strongly dependent on the strength of the electronic coupling at the gold–NPBA interface and on the spatial distribution of the local density of states of the dominant transport channel of the molecular junction."}],"type":"journal_article","day":"16","quality_controlled":"1","article_type":"original","license":"https://creativecommons.org/licenses/by-nc/3.0/","volume":8,"oa":1,"date_updated":"2024-12-18T08:50:22Z","intvolume":"         8","title":"Controlling the rectification properties of molecular junctions through molecule–electrode coupling","status":"public","publication":"Nanoscale","citation":{"ama":"Koepf M, Koenigsmann C, Ding W, et al. Controlling the rectification properties of molecular junctions through molecule–electrode coupling. <i>Nanoscale</i>. 2016;8(36):16357-16362. doi:<a href=\"https://doi.org/10.1039/c6nr04830g\">10.1039/c6nr04830g</a>","ista":"Koepf M, Koenigsmann C, Ding W, Batra A, Negre CFA, Venkataraman L, Brudvig GW, Batista VS, Schmuttenmaer CA, Crabtree RH. 2016. Controlling the rectification properties of molecular junctions through molecule–electrode coupling. Nanoscale. 8(36), 16357–16362.","short":"M. Koepf, C. Koenigsmann, W. Ding, A. Batra, C.F.A. Negre, L. Venkataraman, G.W. Brudvig, V.S. Batista, C.A. Schmuttenmaer, R.H. Crabtree, Nanoscale 8 (2016) 16357–16362.","ieee":"M. Koepf <i>et al.</i>, “Controlling the rectification properties of molecular junctions through molecule–electrode coupling,” <i>Nanoscale</i>, vol. 8, no. 36. Royal Society of Chemistry, pp. 16357–16362, 2016.","apa":"Koepf, M., Koenigsmann, C., Ding, W., Batra, A., Negre, C. F. A., Venkataraman, L., … Crabtree, R. H. (2016). Controlling the rectification properties of molecular junctions through molecule–electrode coupling. <i>Nanoscale</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/c6nr04830g\">https://doi.org/10.1039/c6nr04830g</a>","mla":"Koepf, Matthieu, et al. “Controlling the Rectification Properties of Molecular Junctions through Molecule–Electrode Coupling.” <i>Nanoscale</i>, vol. 8, no. 36, Royal Society of Chemistry, 2016, pp. 16357–62, doi:<a href=\"https://doi.org/10.1039/c6nr04830g\">10.1039/c6nr04830g</a>.","chicago":"Koepf, Matthieu, Christopher Koenigsmann, Wendu Ding, Arunbah Batra, Christian F. A. Negre, Latha Venkataraman, Gary W. Brudvig, Victor S. Batista, Charles A. Schmuttenmaer, and Robert H. Crabtree. “Controlling the Rectification Properties of Molecular Junctions through Molecule–Electrode Coupling.” <i>Nanoscale</i>. Royal Society of Chemistry, 2016. <a href=\"https://doi.org/10.1039/c6nr04830g\">https://doi.org/10.1039/c6nr04830g</a>."},"doi":"10.1039/c6nr04830g","OA_type":"hybrid"},{"_id":"17956","scopus_import":"1","date_published":"2016-08-26T00:00:00Z","page":"11505-11508","author":[{"last_name":"Kim","full_name":"Kim, Nathaniel T.","first_name":"Nathaniel T."},{"last_name":"Li","first_name":"Haixing","full_name":"Li, Haixing"},{"full_name":"Venkataraman, Latha","first_name":"Latha","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","last_name":"Venkataraman"},{"last_name":"Leighton","first_name":"James L.","full_name":"Leighton, James L."}],"publisher":"American Chemical Society","article_processing_charge":"No","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0002-7863"],"eissn":["1520-5126"]},"date_created":"2024-09-09T09:25:25Z","issue":"36","extern":"1","OA_type":"closed access","publication":"Journal of the American Chemical Society","doi":"10.1021/jacs.6b07825","citation":{"ista":"Kim NT, Li H, Venkataraman L, Leighton JL. 2016. High-conductance pathways in ring-strained disilanes by qay of direct σ-Si–Si to Au coordination. Journal of the American Chemical Society. 138(36), 11505–11508.","ama":"Kim NT, Li H, Venkataraman L, Leighton JL. High-conductance pathways in ring-strained disilanes by qay of direct σ-Si–Si to Au coordination. <i>Journal of the American Chemical Society</i>. 2016;138(36):11505-11508. doi:<a href=\"https://doi.org/10.1021/jacs.6b07825\">10.1021/jacs.6b07825</a>","ieee":"N. T. Kim, H. Li, L. Venkataraman, and J. L. Leighton, “High-conductance pathways in ring-strained disilanes by qay of direct σ-Si–Si to Au coordination,” <i>Journal of the American Chemical Society</i>, vol. 138, no. 36. American Chemical Society, pp. 11505–11508, 2016.","short":"N.T. Kim, H. Li, L. Venkataraman, J.L. Leighton, Journal of the American Chemical Society 138 (2016) 11505–11508.","chicago":"Kim, Nathaniel T., Haixing Li, Latha Venkataraman, and James L. Leighton. “High-Conductance Pathways in Ring-Strained Disilanes by Qay of Direct σ-Si–Si to Au Coordination.” <i>Journal of the American Chemical Society</i>. American Chemical Society, 2016. <a href=\"https://doi.org/10.1021/jacs.6b07825\">https://doi.org/10.1021/jacs.6b07825</a>.","mla":"Kim, Nathaniel T., et al. “High-Conductance Pathways in Ring-Strained Disilanes by Qay of Direct σ-Si–Si to Au Coordination.” <i>Journal of the American Chemical Society</i>, vol. 138, no. 36, American Chemical Society, 2016, pp. 11505–08, doi:<a href=\"https://doi.org/10.1021/jacs.6b07825\">10.1021/jacs.6b07825</a>.","apa":"Kim, N. T., Li, H., Venkataraman, L., &#38; Leighton, J. L. (2016). High-conductance pathways in ring-strained disilanes by qay of direct σ-Si–Si to Au coordination. <i>Journal of the American Chemical Society</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/jacs.6b07825\">https://doi.org/10.1021/jacs.6b07825</a>"},"title":"High-conductance pathways in ring-strained disilanes by qay of direct σ-Si–Si to Au coordination","external_id":{"pmid":["27563932"]},"status":"public","intvolume":"       138","volume":138,"date_updated":"2024-12-18T08:53:39Z","article_type":"original","day":"26","quality_controlled":"1","abstract":[{"text":"A highly conducting electronic contact between a strained disilane and Au is demonstrated through scanning tunneling microscope-based single-molecule measurements. Conformationally locked cis diastereomers of bis(sulfide)-anchor-equipped 1,2-disilaacenaphthenes readily form high-conducting junctions in which the two sulfide anchors bind in a bipodal fashion to one gold electrode, providing enough stability for a stable electrical contact between the Si–Si σ bond and the other electrode.","lang":"eng"}],"type":"journal_article","publication_status":"published","month":"08","year":"2016","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"None","pmid":1},{"_id":"17957","scopus_import":"1","page":"7791-7795","author":[{"full_name":"Su, Timothy A.","first_name":"Timothy A.","last_name":"Su"},{"first_name":"Haixing","full_name":"Li, Haixing","last_name":"Li"},{"last_name":"Klausen","first_name":"Rebekka S.","full_name":"Klausen, Rebekka S."},{"last_name":"Widawsky","full_name":"Widawsky, Jonathan R.","first_name":"Jonathan R."},{"first_name":"Arunabh","full_name":"Batra, Arunabh","last_name":"Batra"},{"last_name":"Steigerwald","full_name":"Steigerwald, Michael L.","first_name":"Michael L."},{"full_name":"Venkataraman, Latha","first_name":"Latha","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","last_name":"Venkataraman"},{"last_name":"Nuckolls","full_name":"Nuckolls, Colin","first_name":"Colin"}],"date_published":"2016-06-14T00:00:00Z","article_processing_charge":"No","language":[{"iso":"eng"}],"publisher":"American Chemical Society","publication_identifier":{"eissn":["1520-5126"],"issn":["0002-7863"]},"date_created":"2024-09-09T09:26:50Z","issue":"24","extern":"1","OA_type":"closed access","doi":"10.1021/jacs.6b04394","citation":{"apa":"Su, T. A., Li, H., Klausen, R. S., Widawsky, J. R., Batra, A., Steigerwald, M. L., … Nuckolls, C. (2016). Tuning conductance in π–σ–π single-molecule wires. <i>Journal of the American Chemical Society</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/jacs.6b04394\">https://doi.org/10.1021/jacs.6b04394</a>","chicago":"Su, Timothy A., Haixing Li, Rebekka S. Klausen, Jonathan R. Widawsky, Arunabh Batra, Michael L. Steigerwald, Latha Venkataraman, and Colin Nuckolls. “Tuning Conductance in π–σ–π Single-Molecule Wires.” <i>Journal of the American Chemical Society</i>. American Chemical Society, 2016. <a href=\"https://doi.org/10.1021/jacs.6b04394\">https://doi.org/10.1021/jacs.6b04394</a>.","mla":"Su, Timothy A., et al. “Tuning Conductance in π–σ–π Single-Molecule Wires.” <i>Journal of the American Chemical Society</i>, vol. 138, no. 24, American Chemical Society, 2016, pp. 7791–95, doi:<a href=\"https://doi.org/10.1021/jacs.6b04394\">10.1021/jacs.6b04394</a>.","short":"T.A. Su, H. Li, R.S. Klausen, J.R. Widawsky, A. Batra, M.L. Steigerwald, L. Venkataraman, C. Nuckolls, Journal of the American Chemical Society 138 (2016) 7791–7795.","ieee":"T. A. Su <i>et al.</i>, “Tuning conductance in π–σ–π single-molecule wires,” <i>Journal of the American Chemical Society</i>, vol. 138, no. 24. American Chemical Society, pp. 7791–7795, 2016.","ama":"Su TA, Li H, Klausen RS, et al. Tuning conductance in π–σ–π single-molecule wires. <i>Journal of the American Chemical Society</i>. 2016;138(24):7791-7795. doi:<a href=\"https://doi.org/10.1021/jacs.6b04394\">10.1021/jacs.6b04394</a>","ista":"Su TA, Li H, Klausen RS, Widawsky JR, Batra A, Steigerwald ML, Venkataraman L, Nuckolls C. 2016. Tuning conductance in π–σ–π single-molecule wires. Journal of the American Chemical Society. 138(24), 7791–7795."},"publication":"Journal of the American Chemical Society","status":"public","external_id":{"pmid":["27299173"]},"title":"Tuning conductance in π–σ–π single-molecule wires","intvolume":"       138","date_updated":"2024-12-18T08:56:43Z","volume":138,"article_type":"original","quality_controlled":"1","day":"14","type":"journal_article","abstract":[{"text":"While the single-molecule conductance properties of π-conjugated and σ-conjugated systems have been well-studied, little is known regarding the conductance properties of mixed σ–π backbone wires and the factors that control their transport properties. Here we utilize a scanning tunneling microscope-based break-junction technique to study a series of molecular wires with π–σ–π backbone structures, where the π-moiety is an electrode-binding thioanisole ring and the σ-moiety is a triatomic α–β–α chain composed of C, Si, or Ge atoms. We find that the sequence and composition of group 14 atoms in the α–β–α chain dictates whether electronic communication between the aryl rings is enhanced or suppressed. Placing heavy atoms at the α-position decreases conductance, whereas placing them at the β-position increases conductance: for example, the C–Ge–C sequence is over 20 times more conductive than the Ge–C–Ge sequence. Density functional theory calculations reveal that these conductance trends arise from periodic trends (i.e., atomic size, polarizability, and electronegativity) that differ from C to Si to Ge. The periodic trends that control molecular conductance here are the same ones that give rise to the α and β silicon effects from physical organic chemistry. These findings outline a new molecular design concept for tuning conductance in single-molecule electrical devices.","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"06","publication_status":"published","oa_version":"None","pmid":1},{"article_type":"letter_note","date_updated":"2024-12-18T09:06:14Z","volume":16,"intvolume":"        16","status":"public","title":"Mapping the transmission functions of single-molecule junctions","external_id":{"pmid":["27186894"]},"citation":{"ama":"Capozzi B, Low JZ, Xia J, et al. Mapping the transmission functions of single-molecule junctions. <i>Nano Letters</i>. 2016;16(6):3949-3954. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.6b01592\">10.1021/acs.nanolett.6b01592</a>","ista":"Capozzi B, Low JZ, Xia J, Liu Z-F, Neaton JB, Campos LM, Venkataraman L. 2016. Mapping the transmission functions of single-molecule junctions. Nano Letters. 16(6), 3949–3954.","short":"B. Capozzi, J.Z. Low, J. Xia, Z.-F. Liu, J.B. Neaton, L.M. Campos, L. Venkataraman, Nano Letters 16 (2016) 3949–3954.","ieee":"B. Capozzi <i>et al.</i>, “Mapping the transmission functions of single-molecule junctions,” <i>Nano Letters</i>, vol. 16, no. 6. American Chemical Society, pp. 3949–3954, 2016.","apa":"Capozzi, B., Low, J. Z., Xia, J., Liu, Z.-F., Neaton, J. B., Campos, L. M., &#38; Venkataraman, L. (2016). Mapping the transmission functions of single-molecule junctions. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.6b01592\">https://doi.org/10.1021/acs.nanolett.6b01592</a>","chicago":"Capozzi, Brian, Jonathan Z. Low, Jianlong Xia, Zhen-Fei Liu, Jeffrey B. Neaton, Luis M. Campos, and Latha Venkataraman. “Mapping the Transmission Functions of Single-Molecule Junctions.” <i>Nano Letters</i>. American Chemical Society, 2016. <a href=\"https://doi.org/10.1021/acs.nanolett.6b01592\">https://doi.org/10.1021/acs.nanolett.6b01592</a>.","mla":"Capozzi, Brian, et al. “Mapping the Transmission Functions of Single-Molecule Junctions.” <i>Nano Letters</i>, vol. 16, no. 6, American Chemical Society, 2016, pp. 3949–54, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.6b01592\">10.1021/acs.nanolett.6b01592</a>."},"doi":"10.1021/acs.nanolett.6b01592","publication":"Nano Letters","OA_type":"closed access","pmid":1,"oa_version":"None","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"05","publication_status":"published","type":"journal_article","abstract":[{"lang":"eng","text":"Charge transport phenomena in single-molecule junctions are often dominated by tunneling, with a transmission function dictating the probability that electrons or holes tunnel through the junction. Here, we present a new and simple technique for measuring the transmission functions of molecular junctions in the coherent tunneling limit, over an energy range of 1.5 eV around the Fermi energy. We create molecular junctions in an ionic environment with electrodes having different exposed areas, which results in the formation of electric double layers of dissimilar density on the two electrodes. This allows us to electrostatically shift the molecular resonance relative to the junction Fermi levels in a manner that depends on the sign of the applied bias, enabling us to map out the junction’s transmission function and determine the dominant orbital for charge transport in the molecular junction. We demonstrate this technique using two groups of molecules: one group having molecular resonance energies relatively far from EF and one group having molecular resonance energies within the accessible bias window. Our results compare well with previous electrochemical gating data and with transmission functions computed from first principles. Furthermore, with the second group of molecules, we are able to examine the behavior of a molecular junction as a resonance shifts into the bias window. This work provides a new, experimentally simple route for exploring the fundamentals of charge transport at the nanoscale."}],"quality_controlled":"1","day":"17","language":[{"iso":"eng"}],"article_processing_charge":"No","publisher":"American Chemical Society","author":[{"last_name":"Capozzi","full_name":"Capozzi, Brian","first_name":"Brian"},{"last_name":"Low","first_name":"Jonathan Z.","full_name":"Low, Jonathan Z."},{"first_name":"Jianlong","full_name":"Xia, Jianlong","last_name":"Xia"},{"last_name":"Liu","full_name":"Liu, Zhen-Fei","first_name":"Zhen-Fei"},{"full_name":"Neaton, Jeffrey B.","first_name":"Jeffrey B.","last_name":"Neaton"},{"last_name":"Campos","first_name":"Luis M.","full_name":"Campos, Luis M."},{"first_name":"Latha","full_name":"Venkataraman, Latha","orcid":"0000-0002-6957-6089","last_name":"Venkataraman","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf"}],"page":"3949-3954","date_published":"2016-05-17T00:00:00Z","scopus_import":"1","_id":"17958","extern":"1","issue":"6","date_created":"2024-09-09T09:28:14Z","publication_identifier":{"issn":["1530-6984"],"eissn":["1530-6992"]}},{"pmid":1,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Single-molecule conductance measurements have focused primarily on organic molecular systems. Here, we carry out scanning tunneling microscope-based break-junction measurements on a series of metal chalcogenide Co6Se8 clusters capped with conducting ligands of varying lengths. We compare these measurements with those of individual free ligands and find that the conductance of these clusters and the free ligands have different decay constants with increasing ligand length. We also show, through measurements in two different solvents, 1-bromonaphthalene and 1,2,4-trichlorobenzene, that the conductance decay of the clusters depends on the solvent environment. We discuss several mechanisms to explain our observations."}],"type":"journal_article","day":"11","quality_controlled":"1","publication_status":"published","year":"2016","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"01","intvolume":"         7","article_type":"original","volume":7,"date_updated":"2024-12-18T09:09:02Z","publication":"Chemical Science","DOAJ_listed":"1","doi":"10.1039/c5sc02595h","citation":{"short":"B. Choi, B. Capozzi, S. Ahn, A. Turkiewicz, G. Lovat, C. Nuckolls, M.L. Steigerwald, L. Venkataraman, X. Roy, Chemical Science 7 (2016) 2701–2705.","ieee":"B. Choi <i>et al.</i>, “Solvent-dependent conductance decay constants in single cluster junctions,” <i>Chemical Science</i>, vol. 7, no. 4. Royal Society of Chemistry, pp. 2701–2705, 2016.","ama":"Choi B, Capozzi B, Ahn S, et al. Solvent-dependent conductance decay constants in single cluster junctions. <i>Chemical Science</i>. 2016;7(4):2701-2705. doi:<a href=\"https://doi.org/10.1039/c5sc02595h\">10.1039/c5sc02595h</a>","ista":"Choi B, Capozzi B, Ahn S, Turkiewicz A, Lovat G, Nuckolls C, Steigerwald ML, Venkataraman L, Roy X. 2016. Solvent-dependent conductance decay constants in single cluster junctions. Chemical Science. 7(4), 2701–2705.","apa":"Choi, B., Capozzi, B., Ahn, S., Turkiewicz, A., Lovat, G., Nuckolls, C., … Roy, X. (2016). Solvent-dependent conductance decay constants in single cluster junctions. <i>Chemical Science</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/c5sc02595h\">https://doi.org/10.1039/c5sc02595h</a>","mla":"Choi, Bonnie, et al. “Solvent-Dependent Conductance Decay Constants in Single Cluster Junctions.” <i>Chemical Science</i>, vol. 7, no. 4, Royal Society of Chemistry, 2016, pp. 2701–05, doi:<a href=\"https://doi.org/10.1039/c5sc02595h\">10.1039/c5sc02595h</a>.","chicago":"Choi, Bonnie, Brian Capozzi, Seokhoon Ahn, Ari Turkiewicz, Giacomo Lovat, Colin Nuckolls, Michael L. Steigerwald, Latha Venkataraman, and Xavier Roy. “Solvent-Dependent Conductance Decay Constants in Single Cluster Junctions.” <i>Chemical Science</i>. Royal Society of Chemistry, 2016. <a href=\"https://doi.org/10.1039/c5sc02595h\">https://doi.org/10.1039/c5sc02595h</a>."},"OA_type":"gold","external_id":{"pmid":["28660043"]},"title":"Solvent-dependent conductance decay constants in single cluster junctions","status":"public","date_created":"2024-09-09T09:30:45Z","extern":"1","issue":"4","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/3.0/legalcode","short":"CC BY-NC (3.0)","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)"},"publication_identifier":{"eissn":["2041-6539"],"issn":["2041-6520"]},"date_published":"2016-01-11T00:00:00Z","author":[{"last_name":"Choi","first_name":"Bonnie","full_name":"Choi, Bonnie"},{"last_name":"Capozzi","first_name":"Brian","full_name":"Capozzi, Brian"},{"last_name":"Ahn","full_name":"Ahn, Seokhoon","first_name":"Seokhoon"},{"last_name":"Turkiewicz","full_name":"Turkiewicz, Ari","first_name":"Ari"},{"last_name":"Lovat","full_name":"Lovat, Giacomo","first_name":"Giacomo"},{"last_name":"Nuckolls","first_name":"Colin","full_name":"Nuckolls, Colin"},{"full_name":"Steigerwald, Michael L.","first_name":"Michael L.","last_name":"Steigerwald"},{"id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","last_name":"Venkataraman","full_name":"Venkataraman, Latha","first_name":"Latha"},{"last_name":"Roy","first_name":"Xavier","full_name":"Roy, Xavier"}],"page":"2701-2705","publisher":"Royal Society of Chemistry","article_processing_charge":"Yes","language":[{"iso":"eng"}],"OA_place":"publisher","_id":"17959","scopus_import":"1"},{"publication_identifier":{"issn":["0001-4842"],"eissn":["1520-4898"]},"extern":"1","issue":"3","date_created":"2024-09-09T09:31:45Z","scopus_import":"1","_id":"17960","publisher":"American Chemical Society","language":[{"iso":"eng"}],"article_processing_charge":"No","date_published":"2016-03-03T00:00:00Z","page":"452-460","author":[{"first_name":"Mark S.","full_name":"Hybertsen, Mark S.","last_name":"Hybertsen"},{"id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","last_name":"Venkataraman","orcid":"0000-0002-6957-6089","full_name":"Venkataraman, Latha","first_name":"Latha"}],"publication_status":"published","year":"2016","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"03","abstract":[{"lang":"eng","text":"Over the past 10 years, there has been tremendous progress in the measurement, modeling and understanding of structure–function relationships in single molecule junctions. Numerous research groups have addressed significant scientific questions, directed both to conductance phenomena at the single molecule level and to the fundamental chemistry that controls junction functionality. Many different functionalities have been demonstrated, including single-molecule diodes, optically and mechanically activated switches, and, significantly, physical phenomena with no classical analogues, such as those based on quantum interference effects. Experimental techniques for reliable and reproducible single molecule junction formation and characterization have led to this progress. In particular, the scanning tunneling microscope based break-junction (STM-BJ) technique has enabled rapid, sequential measurement of large numbers of nanoscale junctions allowing a statistical analysis to readily distinguish reproducible characteristics. Harnessing fundamental link chemistry has provided the necessary chemical control over junction formation, enabling measurements that revealed clear relationships between molecular structure and conductance characteristics. Such link groups (amines, methylsuflides, pyridines, etc.) maintain a stable lone pair configuration that selectively bonds to specific, undercoordinated transition metal atoms available following rupture of a metal point contact in the STM-BJ experiments. This basic chemical principle rationalizes the observation of highly reproducible conductance signatures. Subsequently, the method has been extended to probe a variety of physical phenomena ranging from basic I–V characteristics to more complex properties such as thermopower and electrochemical response. By adapting the technique to a conducting cantilever atomic force microscope (AFM-BJ), simultaneous measurement of the mechanical characteristics of nanoscale junctions as they are pulled apart has given complementary information such as the stiffness and rupture force of the molecule-metal link bond. Overall, while the BJ technique does not produce a single molecule circuit for practical applications, it has proved remarkably versatile for fundamental studies. Measured data and analysis have been combined with atomic-scale theory and calculations, typically performed for representative junction structures, to provide fundamental physical understanding of structure–function relationships.\r\n\r\nThis Account integrates across an extensive series of our specific nanoscale junction studies which were carried out with the STM- and AFM-BJ techniques and supported by theoretical analysis and density functional theory based calculations, with emphasis on the physical characteristics of the measurement process and the rich data sets that emerge. Several examples illustrate the impact of measured trends based on the most probable values for key characteristics (obtained from ensembles of order 1000–10 000 individual junctions) to build a solid picture of conductance phenomena as well as attributes of the link bond chemistry. The key forward-looking question posed here is the extent to which the full data sets represented by the individual trajectories can be analyzed to address structure–function questions at the level of individual junctions. Initial progress toward physical modeling of conductance of individual junctions indicates trends consistent with physical junction structures. Analysis of junction mechanics reveals a scaling procedure that collapses existing data onto a universal force–extension curve. This research directed to understanding the distribution of structures and physical characteristics addresses fundamental questions concerning the interplay between chemical control and stochastically driven diversity."}],"type":"journal_article","day":"03","quality_controlled":"1","pmid":1,"oa_version":"None","external_id":{"pmid":["26938931"]},"title":"Structure–property relationships in atomic-scale junctions: Histograms and beyond","status":"public","publication":"Accounts of Chemical Research","doi":"10.1021/acs.accounts.6b00004","citation":{"chicago":"Hybertsen, Mark S., and Latha Venkataraman. “Structure–Property Relationships in Atomic-Scale Junctions: Histograms and Beyond.” <i>Accounts of Chemical Research</i>. American Chemical Society, 2016. <a href=\"https://doi.org/10.1021/acs.accounts.6b00004\">https://doi.org/10.1021/acs.accounts.6b00004</a>.","mla":"Hybertsen, Mark S., and Latha Venkataraman. “Structure–Property Relationships in Atomic-Scale Junctions: Histograms and Beyond.” <i>Accounts of Chemical Research</i>, vol. 49, no. 3, American Chemical Society, 2016, pp. 452–60, doi:<a href=\"https://doi.org/10.1021/acs.accounts.6b00004\">10.1021/acs.accounts.6b00004</a>.","apa":"Hybertsen, M. S., &#38; Venkataraman, L. (2016). Structure–property relationships in atomic-scale junctions: Histograms and beyond. <i>Accounts of Chemical Research</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.accounts.6b00004\">https://doi.org/10.1021/acs.accounts.6b00004</a>","ieee":"M. S. Hybertsen and L. Venkataraman, “Structure–property relationships in atomic-scale junctions: Histograms and beyond,” <i>Accounts of Chemical Research</i>, vol. 49, no. 3. American Chemical Society, pp. 452–460, 2016.","short":"M.S. Hybertsen, L. Venkataraman, Accounts of Chemical Research 49 (2016) 452–460.","ista":"Hybertsen MS, Venkataraman L. 2016. Structure–property relationships in atomic-scale junctions: Histograms and beyond. Accounts of Chemical Research. 49(3), 452–460.","ama":"Hybertsen MS, Venkataraman L. Structure–property relationships in atomic-scale junctions: Histograms and beyond. <i>Accounts of Chemical Research</i>. 2016;49(3):452-460. doi:<a href=\"https://doi.org/10.1021/acs.accounts.6b00004\">10.1021/acs.accounts.6b00004</a>"},"OA_type":"closed access","article_type":"original","volume":49,"date_updated":"2024-12-18T09:18:36Z","intvolume":"        49"},{"intvolume":"         1","article_type":"original","volume":1,"date_updated":"2024-12-18T09:27:51Z","publication":"Nature Reviews Materials","doi":"10.1038/natrevmats.2016.2","citation":{"ama":"Su TA, Neupane M, Steigerwald ML, Venkataraman L, Nuckolls C. Chemical principles of single-molecule electronics. <i>Nature Reviews Materials</i>. 2016;1(3). doi:<a href=\"https://doi.org/10.1038/natrevmats.2016.2\">10.1038/natrevmats.2016.2</a>","ista":"Su TA, Neupane M, Steigerwald ML, Venkataraman L, Nuckolls C. 2016. Chemical principles of single-molecule electronics. Nature Reviews Materials. 1(3), 16002.","short":"T.A. Su, M. Neupane, M.L. Steigerwald, L. Venkataraman, C. Nuckolls, Nature Reviews Materials 1 (2016).","ieee":"T. A. Su, M. Neupane, M. L. Steigerwald, L. Venkataraman, and C. Nuckolls, “Chemical principles of single-molecule electronics,” <i>Nature Reviews Materials</i>, vol. 1, no. 3. Springer Nature, 2016.","apa":"Su, T. A., Neupane, M., Steigerwald, M. L., Venkataraman, L., &#38; Nuckolls, C. (2016). Chemical principles of single-molecule electronics. <i>Nature Reviews Materials</i>. Springer Nature. <a href=\"https://doi.org/10.1038/natrevmats.2016.2\">https://doi.org/10.1038/natrevmats.2016.2</a>","mla":"Su, Timothy A., et al. “Chemical Principles of Single-Molecule Electronics.” <i>Nature Reviews Materials</i>, vol. 1, no. 3, 16002, Springer Nature, 2016, doi:<a href=\"https://doi.org/10.1038/natrevmats.2016.2\">10.1038/natrevmats.2016.2</a>.","chicago":"Su, Timothy A., Madhav Neupane, Michael L. Steigerwald, Latha Venkataraman, and Colin Nuckolls. “Chemical Principles of Single-Molecule Electronics.” <i>Nature Reviews Materials</i>. Springer Nature, 2016. <a href=\"https://doi.org/10.1038/natrevmats.2016.2\">https://doi.org/10.1038/natrevmats.2016.2</a>."},"OA_type":"closed access","title":"Chemical principles of single-molecule electronics","status":"public","oa_version":"None","abstract":[{"lang":"eng","text":"The field of single-molecule electronics harnesses expertise from engineering, physics and chemistry to realize circuit elements at the limit of miniaturization; it is a subfield of nanoelectronics in which the electronic components are single molecules. In this Review, we survey the field from a chemical perspective and discuss the structure–property relationships of the three components that form a single-molecule junction: the anchor, the electrode and the molecular bridge. The spatial orientation and electronic coupling between each component profoundly affect the conductance properties and functions of the single-molecule device. We describe the design principles of the anchor group, the influence of the electronic configuration of the electrode and the effect of manipulating the structure of the molecular backbone and of its substituent groups. We discuss single-molecule conductance switches as well as the phenomenon of quantum interference and then trace their fundamental roots back to chemical principles."}],"type":"journal_article","day":"23","quality_controlled":"1","publication_status":"published","month":"02","year":"2016","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2016-02-23T00:00:00Z","author":[{"last_name":"Su","first_name":"Timothy A.","full_name":"Su, Timothy A."},{"full_name":"Neupane, Madhav","first_name":"Madhav","last_name":"Neupane"},{"last_name":"Steigerwald","full_name":"Steigerwald, Michael L.","first_name":"Michael L."},{"first_name":"Latha","full_name":"Venkataraman, Latha","last_name":"Venkataraman","orcid":"0000-0002-6957-6089","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf"},{"full_name":"Nuckolls, Colin","first_name":"Colin","last_name":"Nuckolls"}],"publisher":"Springer Nature","article_processing_charge":"No","language":[{"iso":"eng"}],"_id":"17961","article_number":"16002","scopus_import":"1","date_created":"2024-09-09T09:35:07Z","extern":"1","issue":"3","publication_identifier":{"eissn":["2058-8437"]}},{"issue":"9","extern":"1","date_created":"2024-09-09T09:36:47Z","publication_identifier":{"issn":["1144-0546"],"eissn":["1369-9261"]},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/3.0/legalcode","short":"CC BY-NC (3.0)","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)"},"language":[{"iso":"eng"}],"article_processing_charge":"No","publisher":"Royal Society of Chemistry","page":"7373-7378","author":[{"first_name":"Christopher","full_name":"Koenigsmann, Christopher","last_name":"Koenigsmann"},{"last_name":"Ding","full_name":"Ding, Wendu","first_name":"Wendu"},{"full_name":"Koepf, Matthieu","first_name":"Matthieu","last_name":"Koepf"},{"last_name":"Batra","first_name":"Arunabh","full_name":"Batra, Arunabh"},{"full_name":"Venkataraman, Latha","first_name":"Latha","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","last_name":"Venkataraman"},{"first_name":"Christian F. A.","full_name":"Negre, Christian F. A.","last_name":"Negre"},{"full_name":"Brudvig, Gary W.","first_name":"Gary W.","last_name":"Brudvig"},{"last_name":"Crabtree","first_name":"Robert H.","full_name":"Crabtree, Robert H."},{"last_name":"Batista","full_name":"Batista, Victor S.","first_name":"Victor S."},{"last_name":"Schmuttenmaer","full_name":"Schmuttenmaer, Charles A.","first_name":"Charles A."}],"date_published":"2016-06-30T00:00:00Z","scopus_import":"1","OA_place":"publisher","_id":"17962","oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"06","publication_status":"published","quality_controlled":"1","day":"30","type":"journal_article","abstract":[{"lang":"eng","text":"We examine structure–function relationships in a series of N-phenylbenzamide (NPBA) derivatives by using computational modeling to identify molecular structures that exhibit both rectification and good conductance together with experimental studies of bias-dependent single molecule conductance and rectification behavior using the scanning tunneling microscopy break-junction technique. From a large number of computationally screened molecular diode structures, we have identified NPBA as a promising candidate, relative to the other structures that were screened. We demonstrate experimentally that conductance and rectification are both enhanced by functionalization of the NPBA 4-carboxamido-aniline moiety with electron donating methoxy groups, and are strongly correlated with the energy of the conducting frontier orbital relative to the Fermi level of the gold leads used in break-junction experiments."}],"date_updated":"2024-12-18T09:37:58Z","volume":40,"article_type":"original","intvolume":"        40","status":"public","title":"Structure–function relationships in single molecule rectification by N-phenylbenzamide derivatives","OA_type":"hybrid","doi":"10.1039/c6nj00870d","citation":{"ama":"Koenigsmann C, Ding W, Koepf M, et al. Structure–function relationships in single molecule rectification by N-phenylbenzamide derivatives. <i>New Journal of Chemistry</i>. 2016;40(9):7373-7378. doi:<a href=\"https://doi.org/10.1039/c6nj00870d\">10.1039/c6nj00870d</a>","ista":"Koenigsmann C, Ding W, Koepf M, Batra A, Venkataraman L, Negre CFA, Brudvig GW, Crabtree RH, Batista VS, Schmuttenmaer CA. 2016. Structure–function relationships in single molecule rectification by N-phenylbenzamide derivatives. New Journal of Chemistry. 40(9), 7373–7378.","short":"C. Koenigsmann, W. Ding, M. Koepf, A. Batra, L. Venkataraman, C.F.A. Negre, G.W. Brudvig, R.H. Crabtree, V.S. Batista, C.A. Schmuttenmaer, New Journal of Chemistry 40 (2016) 7373–7378.","ieee":"C. Koenigsmann <i>et al.</i>, “Structure–function relationships in single molecule rectification by N-phenylbenzamide derivatives,” <i>New Journal of Chemistry</i>, vol. 40, no. 9. Royal Society of Chemistry, pp. 7373–7378, 2016.","apa":"Koenigsmann, C., Ding, W., Koepf, M., Batra, A., Venkataraman, L., Negre, C. F. A., … Schmuttenmaer, C. A. (2016). Structure–function relationships in single molecule rectification by N-phenylbenzamide derivatives. <i>New Journal of Chemistry</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/c6nj00870d\">https://doi.org/10.1039/c6nj00870d</a>","chicago":"Koenigsmann, Christopher, Wendu Ding, Matthieu Koepf, Arunabh Batra, Latha Venkataraman, Christian F. A. Negre, Gary W. Brudvig, Robert H. Crabtree, Victor S. Batista, and Charles A. Schmuttenmaer. “Structure–Function Relationships in Single Molecule Rectification by N-Phenylbenzamide Derivatives.” <i>New Journal of Chemistry</i>. Royal Society of Chemistry, 2016. <a href=\"https://doi.org/10.1039/c6nj00870d\">https://doi.org/10.1039/c6nj00870d</a>.","mla":"Koenigsmann, Christopher, et al. “Structure–Function Relationships in Single Molecule Rectification by N-Phenylbenzamide Derivatives.” <i>New Journal of Chemistry</i>, vol. 40, no. 9, Royal Society of Chemistry, 2016, pp. 7373–78, doi:<a href=\"https://doi.org/10.1039/c6nj00870d\">10.1039/c6nj00870d</a>."},"publication":"New Journal of Chemistry"},{"OA_place":"publisher","_id":"17963","scopus_import":"1","date_published":"2016-05-30T00:00:00Z","author":[{"last_name":"Li","first_name":"Haixing","full_name":"Li, Haixing"},{"full_name":"Garner, Marc H.","first_name":"Marc H.","last_name":"Garner"},{"full_name":"Shangguan, Zhichun","first_name":"Zhichun","last_name":"Shangguan"},{"full_name":"Zheng, Qianwen","first_name":"Qianwen","last_name":"Zheng"},{"last_name":"Su","full_name":"Su, Timothy A.","first_name":"Timothy A."},{"first_name":"Madhav","full_name":"Neupane, Madhav","last_name":"Neupane"},{"last_name":"Li","full_name":"Li, Panpan","first_name":"Panpan"},{"first_name":"Alexandra","full_name":"Velian, Alexandra","last_name":"Velian"},{"last_name":"Steigerwald","first_name":"Michael L.","full_name":"Steigerwald, Michael L."},{"last_name":"Xiao","full_name":"Xiao, Shengxiong","first_name":"Shengxiong"},{"full_name":"Nuckolls, Colin","first_name":"Colin","last_name":"Nuckolls"},{"full_name":"Solomon, Gemma C.","first_name":"Gemma C.","last_name":"Solomon"},{"id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","last_name":"Venkataraman","full_name":"Venkataraman, Latha","first_name":"Latha"}],"page":"5657-5662","publisher":"Royal Society of Chemistry","language":[{"iso":"eng"}],"article_processing_charge":"Yes","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/3.0/legalcode","short":"CC BY-NC (3.0)","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)"},"publication_identifier":{"eissn":["2041-6539"],"issn":["2041-6520"]},"date_created":"2024-09-09T09:37:59Z","extern":"1","issue":"9","publication":"Chemical Science","citation":{"mla":"Li, Haixing, et al. “Conformations of Cyclopentasilane Stereoisomers Control Molecular Junction Conductance.” <i>Chemical Science</i>, vol. 7, no. 9, Royal Society of Chemistry, 2016, pp. 5657–62, doi:<a href=\"https://doi.org/10.1039/c6sc01360k\">10.1039/c6sc01360k</a>.","chicago":"Li, Haixing, Marc H. Garner, Zhichun Shangguan, Qianwen Zheng, Timothy A. Su, Madhav Neupane, Panpan Li, et al. “Conformations of Cyclopentasilane Stereoisomers Control Molecular Junction Conductance.” <i>Chemical Science</i>. Royal Society of Chemistry, 2016. <a href=\"https://doi.org/10.1039/c6sc01360k\">https://doi.org/10.1039/c6sc01360k</a>.","apa":"Li, H., Garner, M. H., Shangguan, Z., Zheng, Q., Su, T. A., Neupane, M., … Venkataraman, L. (2016). Conformations of cyclopentasilane stereoisomers control molecular junction conductance. <i>Chemical Science</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/c6sc01360k\">https://doi.org/10.1039/c6sc01360k</a>","ista":"Li H, Garner MH, Shangguan Z, Zheng Q, Su TA, Neupane M, Li P, Velian A, Steigerwald ML, Xiao S, Nuckolls C, Solomon GC, Venkataraman L. 2016. Conformations of cyclopentasilane stereoisomers control molecular junction conductance. Chemical Science. 7(9), 5657–5662.","ama":"Li H, Garner MH, Shangguan Z, et al. Conformations of cyclopentasilane stereoisomers control molecular junction conductance. <i>Chemical Science</i>. 2016;7(9):5657-5662. doi:<a href=\"https://doi.org/10.1039/c6sc01360k\">10.1039/c6sc01360k</a>","ieee":"H. Li <i>et al.</i>, “Conformations of cyclopentasilane stereoisomers control molecular junction conductance,” <i>Chemical Science</i>, vol. 7, no. 9. Royal Society of Chemistry, pp. 5657–5662, 2016.","short":"H. Li, M.H. Garner, Z. Shangguan, Q. Zheng, T.A. Su, M. Neupane, P. Li, A. Velian, M.L. Steigerwald, S. Xiao, C. Nuckolls, G.C. Solomon, L. Venkataraman, Chemical Science 7 (2016) 5657–5662."},"DOAJ_listed":"1","doi":"10.1039/c6sc01360k","OA_type":"gold","title":"Conformations of cyclopentasilane stereoisomers control molecular junction conductance","status":"public","intvolume":"         7","article_type":"original","volume":7,"date_updated":"2024-12-18T09:51:40Z","abstract":[{"lang":"eng","text":"Here we examine the impact of ring conformation on the charge transport characteristics of cyclic pentasilane structures bound to gold electrodes in single molecule junctions. We investigate the conductance properties of alkylated cyclopentasilane cis and trans stereoisomers substituted in the 1,3-position with methylthiomethyl electrode binding groups using both the scanning tunneling microscope-based break junction technique and density functional theory based ab initio calculations. In contrast with the linear ones, these cyclic silanes yield lower conductance values; calculations reveal that the constrained dihedral geometries occurring within the ring are suboptimal for σ-orbital delocalization, and therefore, conductance. Theoretical calculations reproduce the measured conductance trends for both cis and trans isomers and find several distinct conformations that are likely to form stable molecular junctions at room temperature. Due to the weakened σ-conjugation in the molecule, through-space interactions are found to contribute significantly to the conductance. This manuscript details the vast conformational flexibility in cyclopentasilanes and the tremendous impact it has on controlling conductance."}],"type":"journal_article","day":"30","quality_controlled":"1","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"05","oa_version":"Published Version"},{"pmid":1,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Charge transfer rates at metal/organic interfaces affect the efficiencies of devices for organic based electronics and photovoltaics. A quantitative study of electron transfer rates, which take place on the femtosecond timescale, is often difficult, especially since in most systems the molecular adsorption geometry is unknown. Here, we use X-ray resonant photoemission spectroscopy to measure ultrafast charge transfer rates across pyridine/Au(111) interfaces while also controlling the molecular orientation on the metal. We demonstrate that a bi-directional charge transfer across the molecule/metal interface is enabled upon creation of a core-exciton on the molecule with a rate that has a strong dependence on the molecular adsorption angle. Through density functional theory calculations, we show that the alignment of molecular levels relative to the metal Fermi level is dramatically altered when a core-hole is created on the molecule, allowing the lowest unoccupied molecular orbital to fall partially below the metal Fermi level. We also calculate charge transfer rates as a function of molecular adsorption geometry and find a trend that agrees with the experiment. These findings thus give insight into the charge transfer dynamics of a photo-excited molecule on a metal surface."}],"type":"journal_article","day":"14","quality_controlled":"1","publication_status":"published","month":"07","year":"2016","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","intvolume":"        18","article_type":"original","oa":1,"volume":18,"date_updated":"2024-12-18T10:17:35Z","publication":"Physical Chemistry Chemical Physics","citation":{"ista":"Cvetko D, Fratesi G, Kladnik G, Cossaro A, Brivio GP, Venkataraman L, Morgante A. 2016. Ultrafast electron injection into photo-excited organic molecules. Physical Chemistry Chemical Physics. 18(32), 22140–22145.","ama":"Cvetko D, Fratesi G, Kladnik G, et al. Ultrafast electron injection into photo-excited organic molecules. <i>Physical Chemistry Chemical Physics</i>. 2016;18(32):22140-22145. doi:<a href=\"https://doi.org/10.1039/c6cp04099c\">10.1039/c6cp04099c</a>","ieee":"D. Cvetko <i>et al.</i>, “Ultrafast electron injection into photo-excited organic molecules,” <i>Physical Chemistry Chemical Physics</i>, vol. 18, no. 32. Royal Society of Chemistry, pp. 22140–22145, 2016.","short":"D. Cvetko, G. Fratesi, G. Kladnik, A. Cossaro, G.P. Brivio, L. Venkataraman, A. Morgante, Physical Chemistry Chemical Physics 18 (2016) 22140–22145.","chicago":"Cvetko, Dean, Guido Fratesi, Gregor Kladnik, Albano Cossaro, Gian Paolo Brivio, Latha Venkataraman, and Alberto Morgante. “Ultrafast Electron Injection into Photo-Excited Organic Molecules.” <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry, 2016. <a href=\"https://doi.org/10.1039/c6cp04099c\">https://doi.org/10.1039/c6cp04099c</a>.","mla":"Cvetko, Dean, et al. “Ultrafast Electron Injection into Photo-Excited Organic Molecules.” <i>Physical Chemistry Chemical Physics</i>, vol. 18, no. 32, Royal Society of Chemistry, 2016, pp. 22140–45, doi:<a href=\"https://doi.org/10.1039/c6cp04099c\">10.1039/c6cp04099c</a>.","apa":"Cvetko, D., Fratesi, G., Kladnik, G., Cossaro, A., Brivio, G. P., Venkataraman, L., &#38; Morgante, A. (2016). Ultrafast electron injection into photo-excited organic molecules. <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/c6cp04099c\">https://doi.org/10.1039/c6cp04099c</a>"},"doi":"10.1039/c6cp04099c","OA_type":"hybrid","external_id":{"pmid":["27444572"]},"title":"Ultrafast electron injection into photo-excited organic molecules","status":"public","date_created":"2024-09-09T09:39:29Z","extern":"1","issue":"32","publication_identifier":{"issn":["1463-9076"],"eissn":["1463-9084"]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1039/C6CP04099C"}],"date_published":"2016-07-14T00:00:00Z","author":[{"first_name":"Dean","full_name":"Cvetko, Dean","last_name":"Cvetko"},{"full_name":"Fratesi, Guido","first_name":"Guido","last_name":"Fratesi"},{"last_name":"Kladnik","full_name":"Kladnik, Gregor","first_name":"Gregor"},{"last_name":"Cossaro","full_name":"Cossaro, Albano","first_name":"Albano"},{"first_name":"Gian Paolo","full_name":"Brivio, Gian Paolo","last_name":"Brivio"},{"id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","last_name":"Venkataraman","orcid":"0000-0002-6957-6089","full_name":"Venkataraman, Latha","first_name":"Latha"},{"full_name":"Morgante, Alberto","first_name":"Alberto","last_name":"Morgante"}],"page":"22140-22145","publisher":"Royal Society of Chemistry","article_processing_charge":"Yes (in subscription journal)","language":[{"iso":"eng"}],"_id":"17964","OA_place":"publisher","scopus_import":"1"},{"publication":"Perspectives in Shape Analysis","doi":"10.1007/978-3-319-24726-7_10","citation":{"ieee":"J. Pokrass, A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro, “Sparse Models for Intrinsic Shape Correspondence,” in <i>Perspectives in Shape Analysis</i>, 1st ed., M. Breuß, A. Bruckstein, P. Maragos, and S. Wuhrer, Eds. Cham: Springer International Publishing, 2016, pp. 211–230.","short":"J. Pokrass, A.M. Bronstein, M.M. Bronstein, P. Sprechmann, G. Sapiro, in:, M. Breuß, A. Bruckstein, P. Maragos, S. Wuhrer (Eds.), Perspectives in Shape Analysis, 1st ed., Springer International Publishing, Cham, 2016, pp. 211–230.","ista":"Pokrass J, Bronstein AM, Bronstein MM, Sprechmann P, Sapiro G. 2016.Sparse Models for Intrinsic Shape Correspondence. In: Perspectives in Shape Analysis. Mathematics and Visualization, , 211–230.","ama":"Pokrass J, Bronstein AM, Bronstein MM, Sprechmann P, Sapiro G. Sparse Models for Intrinsic Shape Correspondence. In: Breuß M, Bruckstein A, Maragos P, Wuhrer S, eds. <i>Perspectives in Shape Analysis</i>. 1st ed. Cham: Springer International Publishing; 2016:211-230. doi:<a href=\"https://doi.org/10.1007/978-3-319-24726-7_10\">10.1007/978-3-319-24726-7_10</a>","chicago":"Pokrass, Jonathan, Alex M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, and Guillermo Sapiro. “Sparse Models for Intrinsic Shape Correspondence.” In <i>Perspectives in Shape Analysis</i>, edited by Michael Breuß, Alfred Bruckstein, Petros Maragos, and Stefanie Wuhrer, 1st ed., 211–30. Cham: Springer International Publishing, 2016. <a href=\"https://doi.org/10.1007/978-3-319-24726-7_10\">https://doi.org/10.1007/978-3-319-24726-7_10</a>.","mla":"Pokrass, Jonathan, et al. “Sparse Models for Intrinsic Shape Correspondence.” <i>Perspectives in Shape Analysis</i>, edited by Michael Breuß et al., 1st ed., Springer International Publishing, 2016, pp. 211–30, doi:<a href=\"https://doi.org/10.1007/978-3-319-24726-7_10\">10.1007/978-3-319-24726-7_10</a>.","apa":"Pokrass, J., Bronstein, A. M., Bronstein, M. M., Sprechmann, P., &#38; Sapiro, G. (2016). Sparse Models for Intrinsic Shape Correspondence. In M. Breuß, A. Bruckstein, P. Maragos, &#38; S. Wuhrer (Eds.), <i>Perspectives in Shape Analysis</i> (1st ed., pp. 211–230). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-24726-7_10\">https://doi.org/10.1007/978-3-319-24726-7_10</a>"},"OA_type":"closed access","title":"Sparse Models for Intrinsic Shape Correspondence","status":"public","date_updated":"2024-10-22T08:17:06Z","abstract":[{"lang":"eng","text":"We present a novel sparse modeling approach to non-rigid shape matching using only the ability to detect repeatable regions. As the input to our algorithm, we are given only two sets of regions in two shapes; no descriptors are provided so the correspondence between the regions is not know, nor do we know how many regions correspond in the two shapes. We show that even with such scarce information, it is possible to establish very accurate correspondence between the shapes by using methods from the field of sparse modeling, being this, the first non-trivial use of sparse models in shape correspondence. We formulate the problem of permuted sparse coding, in which we solve simultaneously for an unknown permutation ordering the regions on two shapes and for an unknown correspondence in functional representation. We also propose a robust variant capable of handling incomplete matches. Numerically, the problem is solved efficiently by alternating the solution of a linear assignment and a sparse coding problem. The proposed methods are evaluated qualitatively and quantitatively on standard benchmarks containing both synthetic and scanned objects."}],"type":"book_chapter","day":"01","place":"Cham","edition":"1","quality_controlled":"1","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"10","oa_version":"None","_id":"18328","editor":[{"full_name":"Breuß, Michael","first_name":"Michael","last_name":"Breuß"},{"last_name":"Bruckstein","first_name":"Alfred","full_name":"Bruckstein, Alfred"},{"full_name":"Maragos, Petros","first_name":"Petros","last_name":"Maragos"},{"last_name":"Wuhrer","full_name":"Wuhrer, Stefanie","first_name":"Stefanie"}],"alternative_title":["Mathematics and Visualization"],"scopus_import":"1","date_published":"2016-10-01T00:00:00Z","page":"211-230","author":[{"last_name":"Pokrass","first_name":"Jonathan","full_name":"Pokrass, Jonathan"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","last_name":"Bronstein","full_name":"Bronstein, Alexander","first_name":"Alexander"},{"last_name":"Bronstein","first_name":"Michael M.","full_name":"Bronstein, Michael M."},{"last_name":"Sprechmann","full_name":"Sprechmann, Pablo","first_name":"Pablo"},{"first_name":"Guillermo","full_name":"Sapiro, Guillermo","last_name":"Sapiro"}],"publisher":"Springer International Publishing","article_processing_charge":"No","language":[{"iso":"eng"}],"publication_identifier":{"eisbn":["9783319247267"],"issn":["1612-3786"],"isbn":["9783319247243"],"eissn":["2197-666X"]},"date_created":"2024-10-15T11:20:53Z","extern":"1"},{"oa_version":"Preprint","arxiv":1,"year":"2016","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","month":"01","publication_status":"published","quality_controlled":"1","corr_author":"1","day":"01","type":"journal_article","abstract":[{"lang":"eng","text":"Relational models for contingency tables are generalizations of log-linear models, allowing effects associated with arbitrary subsets of cells in the table, and not necessarily containing the overall effect, that is, a common parameter in every cell. Similarly to log-linear models, relational models can be extended to non-negative distributions, but the extension requires more complex methods. An extended relational model is defined as an algebraic variety, and it turns out to be the closure of the original model with respect to the Bregman divergence. In the extended relational model, the MLE of the cell parameters always exists and is unique, but some of its properties may be different from those of the MLE under log-linear models. The MLE can be computed using a generalized iterative scaling procedure based on Bregman projections. "}],"date_updated":"2025-09-18T10:47:32Z","volume":143,"oa":1,"publist_id":"5270","intvolume":"       143","department":[{"_id":"CaUh"}],"status":"public","title":"On the closure of relational models","external_id":{"arxiv":["1501.00600"],"isi":["000366885300029"]},"doi":"10.1016/j.jmva.2015.10.005","citation":{"apa":"Klimova, A., &#38; Rudas, T. (2016). On the closure of relational models. <i>Journal of Multivariate Analysis</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jmva.2015.10.005\">https://doi.org/10.1016/j.jmva.2015.10.005</a>","chicago":"Klimova, Anna, and Tamás Rudas. “On the Closure of Relational Models.” <i>Journal of Multivariate Analysis</i>. Elsevier, 2016. <a href=\"https://doi.org/10.1016/j.jmva.2015.10.005\">https://doi.org/10.1016/j.jmva.2015.10.005</a>.","mla":"Klimova, Anna, and Tamás Rudas. “On the Closure of Relational Models.” <i>Journal of Multivariate Analysis</i>, vol. 143, Elsevier, 2016, pp. 440–52, doi:<a href=\"https://doi.org/10.1016/j.jmva.2015.10.005\">10.1016/j.jmva.2015.10.005</a>.","short":"A. Klimova, T. Rudas, Journal of Multivariate Analysis 143 (2016) 440–452.","ieee":"A. Klimova and T. Rudas, “On the closure of relational models,” <i>Journal of Multivariate Analysis</i>, vol. 143. Elsevier, pp. 440–452, 2016.","ama":"Klimova A, Rudas T. On the closure of relational models. <i>Journal of Multivariate Analysis</i>. 2016;143:440-452. doi:<a href=\"https://doi.org/10.1016/j.jmva.2015.10.005\">10.1016/j.jmva.2015.10.005</a>","ista":"Klimova A, Rudas T. 2016. On the closure of relational models. Journal of Multivariate Analysis. 143, 440–452."},"publication":"Journal of Multivariate Analysis","date_created":"2018-12-11T11:54:15Z","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1501.00600"}],"isi":1,"article_processing_charge":"No","language":[{"iso":"eng"}],"publisher":"Elsevier","author":[{"first_name":"Anna","full_name":"Klimova, Anna","last_name":"Klimova","id":"31934120-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Tamás","full_name":"Rudas, Tamás","last_name":"Rudas"}],"page":"440 - 452","date_published":"2016-01-01T00:00:00Z","scopus_import":"1","_id":"1833"},{"issue":"2","extern":"1","date_created":"2024-10-15T11:20:54Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1007/s11263-016-0903-8"}],"publication_identifier":{"eissn":["1573-1405"],"issn":["0920-5691"]},"language":[{"iso":"eng"}],"article_processing_charge":"No","publisher":"Springer Nature","author":[{"full_name":"Pickup, D.","first_name":"D.","last_name":"Pickup"},{"first_name":"X.","full_name":"Sun, X.","last_name":"Sun"},{"last_name":"Rosin","first_name":"P. L.","full_name":"Rosin, P. L."},{"full_name":"Martin, R. R.","first_name":"R. R.","last_name":"Martin"},{"full_name":"Cheng, Z.","first_name":"Z.","last_name":"Cheng"},{"first_name":"Z.","full_name":"Lian, Z.","last_name":"Lian"},{"last_name":"Aono","first_name":"M.","full_name":"Aono, M."},{"first_name":"A. Ben","full_name":"Hamza, A. Ben","last_name":"Hamza"},{"first_name":"Alexander","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"last_name":"Bronstein","first_name":"M.","full_name":"Bronstein, M."},{"last_name":"Bu","full_name":"Bu, S.","first_name":"S."},{"first_name":"U.","full_name":"Castellani, U.","last_name":"Castellani"},{"last_name":"Cheng","full_name":"Cheng, S.","first_name":"S."},{"last_name":"Garro","full_name":"Garro, V.","first_name":"V."},{"last_name":"Giachetti","full_name":"Giachetti, A.","first_name":"A."},{"last_name":"Godil","full_name":"Godil, A.","first_name":"A."},{"first_name":"L.","full_name":"Isaia, L.","last_name":"Isaia"},{"last_name":"Han","full_name":"Han, J.","first_name":"J."},{"last_name":"Johan","full_name":"Johan, H.","first_name":"H."},{"full_name":"Lai, L.","first_name":"L.","last_name":"Lai"},{"first_name":"B.","full_name":"Li, B.","last_name":"Li"},{"last_name":"Li","full_name":"Li, C.","first_name":"C."},{"full_name":"Li, H.","first_name":"H.","last_name":"Li"},{"first_name":"R.","full_name":"Litman, R.","last_name":"Litman"},{"last_name":"Liu","first_name":"X.","full_name":"Liu, X."},{"first_name":"Z.","full_name":"Liu, Z.","last_name":"Liu"},{"full_name":"Lu, Y.","first_name":"Y.","last_name":"Lu"},{"first_name":"L.","full_name":"Sun, L.","last_name":"Sun"},{"last_name":"Tam","full_name":"Tam, G.","first_name":"G."},{"last_name":"Tatsuma","full_name":"Tatsuma, A.","first_name":"A."},{"last_name":"Ye","first_name":"J.","full_name":"Ye, J."}],"page":"169-193","date_published":"2016-11-01T00:00:00Z","scopus_import":"1","_id":"18361","oa_version":"Published Version","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"11","publication_status":"published","quality_controlled":"1","day":"01","type":"journal_article","abstract":[{"text":"3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provided a benchmark for testing non-rigid 3D shape retrieval algorithms on 3D human models. This benchmark provided a far stricter challenge than previous shape benchmarks. We have added 145 new models for use as a separate training set, in order to standardise the training data used and provide a fairer comparison. We have also included experiments with the FAUST dataset of human scans. All participants of the previous benchmark study have taken part in the new tests reported here, many providing updated results using the new data. In addition, further participants have also taken part, and we provide extra analysis of the retrieval results. A total of 25 different shape retrieval methods are compared.","lang":"eng"}],"date_updated":"2024-12-18T15:13:03Z","oa":1,"volume":120,"intvolume":"       120","status":"public","title":"Shape retrieval of non-rigid 3D human models","citation":{"mla":"Pickup, D., et al. “Shape Retrieval of Non-Rigid 3D Human Models.” <i>International Journal of Computer Vision</i>, vol. 120, no. 2, Springer Nature, 2016, pp. 169–93, doi:<a href=\"https://doi.org/10.1007/s11263-016-0903-8\">10.1007/s11263-016-0903-8</a>.","chicago":"Pickup, D., X. Sun, P. L. Rosin, R. R. Martin, Z. Cheng, Z. Lian, M. Aono, et al. “Shape Retrieval of Non-Rigid 3D Human Models.” <i>International Journal of Computer Vision</i>. Springer Nature, 2016. <a href=\"https://doi.org/10.1007/s11263-016-0903-8\">https://doi.org/10.1007/s11263-016-0903-8</a>.","apa":"Pickup, D., Sun, X., Rosin, P. L., Martin, R. R., Cheng, Z., Lian, Z., … Ye, J. (2016). Shape retrieval of non-rigid 3D human models. <i>International Journal of Computer Vision</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s11263-016-0903-8\">https://doi.org/10.1007/s11263-016-0903-8</a>","ieee":"D. Pickup <i>et al.</i>, “Shape retrieval of non-rigid 3D human models,” <i>International Journal of Computer Vision</i>, vol. 120, no. 2. Springer Nature, pp. 169–193, 2016.","short":"D. Pickup, X. Sun, P.L. Rosin, R.R. Martin, Z. Cheng, Z. Lian, M. Aono, A.B. Hamza, A.M. Bronstein, M. Bronstein, S. Bu, U. Castellani, S. Cheng, V. Garro, A. Giachetti, A. Godil, L. Isaia, J. Han, H. Johan, L. Lai, B. Li, C. Li, H. Li, R. Litman, X. Liu, Z. Liu, Y. Lu, L. Sun, G. Tam, A. Tatsuma, J. Ye, International Journal of Computer Vision 120 (2016) 169–193.","ista":"Pickup D, Sun X, Rosin PL, Martin RR, Cheng Z, Lian Z, Aono M, Hamza AB, Bronstein AM, Bronstein M, Bu S, Castellani U, Cheng S, Garro V, Giachetti A, Godil A, Isaia L, Han J, Johan H, Lai L, Li B, Li C, Li H, Litman R, Liu X, Liu Z, Lu Y, Sun L, Tam G, Tatsuma A, Ye J. 2016. Shape retrieval of non-rigid 3D human models. International Journal of Computer Vision. 120(2), 169–193.","ama":"Pickup D, Sun X, Rosin PL, et al. Shape retrieval of non-rigid 3D human models. <i>International Journal of Computer Vision</i>. 2016;120(2):169-193. doi:<a href=\"https://doi.org/10.1007/s11263-016-0903-8\">10.1007/s11263-016-0903-8</a>"},"doi":"10.1007/s11263-016-0903-8","publication":"International Journal of Computer Vision"},{"abstract":[{"lang":"eng","text":"The L 1 norm has been tremendously popular in signal and image processing in the past two decades due to its sparsity-promoting properties. More recently, its generalization to non-Euclidean domains has been found useful in shape analysis applications. For example, in conjunction with the minimization of the Dirichlet energy, it was shown to produce a compactly supported quasi-harmonic orthonormal basis, dubbed as compressed manifold modes [14]. The continuous L 1 norm on the manifold is often replaced by the vector ℓ 1 norm applied to sampled functions. We show that such an approach is incorrect in the sense that it does not consistently discretize the continuous norm and warn against its sensitivity to the specific sampling. We propose two alternative discretizations resulting in an iteratively-reweighed ℓ 2 norm. We demonstrate the proposed strategy on the compressed modes problem, which reduces to a sequence of simple eigendecomposition problems not requiring non-convex optimization on Stiefel manifolds and producing more stable and accurate results."}],"type":"conference","day":"19","quality_controlled":"1","publication_status":"published","month":"12","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","year":"2016","arxiv":1,"oa_version":"Preprint","publication":"2016 Fourth International Conference on 3D Vision (3DV)","doi":"10.1109/3dv.2016.53","citation":{"ama":"Bronstein AM, Choukroun Y, Kimmel R, Sela M. Consistent discretization and minimization of the L1 norm on manifolds. In: <i>2016 Fourth International Conference on 3D Vision (3DV)</i>. IEEE; 2016. doi:<a href=\"https://doi.org/10.1109/3dv.2016.53\">10.1109/3dv.2016.53</a>","ista":"Bronstein AM, Choukroun Y, Kimmel R, Sela M. 2016. Consistent discretization and minimization of the L1 norm on manifolds. 2016 Fourth International Conference on 3D Vision (3DV). 4th International Conference on 3D Vision, 7785118.","short":"A.M. Bronstein, Y. Choukroun, R. Kimmel, M. Sela, in:, 2016 Fourth International Conference on 3D Vision (3DV), IEEE, 2016.","ieee":"A. M. Bronstein, Y. Choukroun, R. Kimmel, and M. Sela, “Consistent discretization and minimization of the L1 norm on manifolds,” in <i>2016 Fourth International Conference on 3D Vision (3DV)</i>,  Stanford, CA, United States, 2016.","apa":"Bronstein, A. M., Choukroun, Y., Kimmel, R., &#38; Sela, M. (2016). Consistent discretization and minimization of the L1 norm on manifolds. In <i>2016 Fourth International Conference on 3D Vision (3DV)</i>.  Stanford, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/3dv.2016.53\">https://doi.org/10.1109/3dv.2016.53</a>","chicago":"Bronstein, Alex M., Yoni Choukroun, Ron Kimmel, and Matan Sela. “Consistent Discretization and Minimization of the L1 Norm on Manifolds.” In <i>2016 Fourth International Conference on 3D Vision (3DV)</i>. IEEE, 2016. <a href=\"https://doi.org/10.1109/3dv.2016.53\">https://doi.org/10.1109/3dv.2016.53</a>.","mla":"Bronstein, Alex M., et al. “Consistent Discretization and Minimization of the L1 Norm on Manifolds.” <i>2016 Fourth International Conference on 3D Vision (3DV)</i>, 7785118, IEEE, 2016, doi:<a href=\"https://doi.org/10.1109/3dv.2016.53\">10.1109/3dv.2016.53</a>."},"title":"Consistent discretization and minimization of the L1 norm on manifolds","external_id":{"arxiv":["1609.05434"]},"status":"public","oa":1,"date_updated":"2024-12-05T14:19:34Z","publication_identifier":{"isbn":["9781509054084"]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1609.05434"}],"date_created":"2024-10-15T11:20:54Z","extern":"1","_id":"18374","article_number":"7785118","scopus_import":"1","date_published":"2016-12-19T00:00:00Z","conference":{"start_date":"2016-10-25","end_date":"2016-10-28","location":" Stanford, CA, United States","name":"4th International Conference on 3D Vision"},"author":[{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","last_name":"Bronstein","full_name":"Bronstein, Alexander","first_name":"Alexander"},{"last_name":"Choukroun","full_name":"Choukroun, Yoni","first_name":"Yoni"},{"last_name":"Kimmel","first_name":"Ron","full_name":"Kimmel, Ron"},{"full_name":"Sela, Matan","first_name":"Matan","last_name":"Sela"}],"publisher":"IEEE","article_processing_charge":"No","language":[{"iso":"eng"}]},{"oa":1,"date_updated":"2024-12-05T14:17:16Z","title":"SpectroMeter: Amortized sublinear spectral approximation of distance on graphs","external_id":{"arxiv":["1609.05715"]},"status":"public","publication":"2016 Fourth International Conference on 3D Vision (3DV)","citation":{"apa":"Litman, R., &#38; Bronstein, A. M. (2016). SpectroMeter: Amortized sublinear spectral approximation of distance on graphs. In <i>2016 Fourth International Conference on 3D Vision (3DV)</i>. Stanford, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/3dv.2016.60\">https://doi.org/10.1109/3dv.2016.60</a>","chicago":"Litman, Roee, and Alex M. Bronstein. “SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs.” In <i>2016 Fourth International Conference on 3D Vision (3DV)</i>. IEEE, 2016. <a href=\"https://doi.org/10.1109/3dv.2016.60\">https://doi.org/10.1109/3dv.2016.60</a>.","mla":"Litman, Roee, and Alex M. Bronstein. “SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs.” <i>2016 Fourth International Conference on 3D Vision (3DV)</i>, 7785125, IEEE, 2016, doi:<a href=\"https://doi.org/10.1109/3dv.2016.60\">10.1109/3dv.2016.60</a>.","ama":"Litman R, Bronstein AM. SpectroMeter: Amortized sublinear spectral approximation of distance on graphs. In: <i>2016 Fourth International Conference on 3D Vision (3DV)</i>. IEEE; 2016. doi:<a href=\"https://doi.org/10.1109/3dv.2016.60\">10.1109/3dv.2016.60</a>","ista":"Litman R, Bronstein AM. 2016. SpectroMeter: Amortized sublinear spectral approximation of distance on graphs. 2016 Fourth International Conference on 3D Vision (3DV). 4th International Conference on 3D Vision, 7785125.","short":"R. Litman, A.M. Bronstein, in:, 2016 Fourth International Conference on 3D Vision (3DV), IEEE, 2016.","ieee":"R. Litman and A. M. Bronstein, “SpectroMeter: Amortized sublinear spectral approximation of distance on graphs,” in <i>2016 Fourth International Conference on 3D Vision (3DV)</i>, Stanford, CA, United States, 2016."},"doi":"10.1109/3dv.2016.60","oa_version":"Preprint","arxiv":1,"publication_status":"published","month":"12","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","year":"2016","day":"19","quality_controlled":"1","abstract":[{"lang":"eng","text":"We present a method to approximate pairwise distance on a graph, having an amortized sub-linear complexity in its size. The proposed method follows the so called heat method due to Crane et al. The only additional input are the values of the eigenfunctions of the graph Laplacian at a subset of the vertices. Using these values we estimate a random walk from the source points, and normalize the result into a unit gradient function. The eigenfunctions are then used to synthesize distance values abiding by these constraints at desired locations. We show that this method works in practice on different types of inputs ranging from triangular meshes to general graphs. We also demonstrate that the resulting approximate distance is accurate enough to be used as the input to a recent method for intrinsic shape correspondence computation."}],"type":"conference","publisher":"IEEE","language":[{"iso":"eng"}],"article_processing_charge":"No","date_published":"2016-12-19T00:00:00Z","author":[{"last_name":"Litman","first_name":"Roee","full_name":"Litman, Roee"},{"orcid":"0000-0001-9699-8730","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander","full_name":"Bronstein, Alexander"}],"conference":{"location":"Stanford, CA, United States","end_date":"2016-10-28","start_date":"2016-10-25","name":"4th International Conference on 3D Vision"},"scopus_import":"1","article_number":"7785125","_id":"18375","extern":"1","date_created":"2024-10-15T11:20:54Z","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1609.05715","open_access":"1"}],"publication_identifier":{"isbn":["9781509054084"]}},{"oa":1,"date_updated":"2024-12-05T14:16:11Z","publication":"2016 IEEE International Conference on Computational Photography (ICCP)","doi":"10.1109/iccphot.2016.7492874","citation":{"chicago":"Remez, Tal, Or Litany, and Alex M. Bronstein. “A Picture Is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Threshold Pixels.” In <i>2016 IEEE International Conference on Computational Photography (ICCP)</i>. IEEE, 2016. <a href=\"https://doi.org/10.1109/iccphot.2016.7492874\">https://doi.org/10.1109/iccphot.2016.7492874</a>.","mla":"Remez, Tal, et al. “A Picture Is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Threshold Pixels.” <i>2016 IEEE International Conference on Computational Photography (ICCP)</i>, 7492874, IEEE, 2016, doi:<a href=\"https://doi.org/10.1109/iccphot.2016.7492874\">10.1109/iccphot.2016.7492874</a>.","apa":"Remez, T., Litany, O., &#38; Bronstein, A. M. (2016). A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. In <i>2016 IEEE International Conference on Computational Photography (ICCP)</i>. Evanston, IL, United States: IEEE. <a href=\"https://doi.org/10.1109/iccphot.2016.7492874\">https://doi.org/10.1109/iccphot.2016.7492874</a>","ista":"Remez T, Litany O, Bronstein AM. 2016. A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. 2016 IEEE International Conference on Computational Photography (ICCP). IEEE International Conference on Computational Photography, 7492874.","ama":"Remez T, Litany O, Bronstein AM. A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. In: <i>2016 IEEE International Conference on Computational Photography (ICCP)</i>. IEEE; 2016. doi:<a href=\"https://doi.org/10.1109/iccphot.2016.7492874\">10.1109/iccphot.2016.7492874</a>","ieee":"T. Remez, O. Litany, and A. M. Bronstein, “A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels,” in <i>2016 IEEE International Conference on Computational Photography (ICCP)</i>, Evanston, IL, United States, 2016.","short":"T. Remez, O. Litany, A.M. Bronstein, in:, 2016 IEEE International Conference on Computational Photography (ICCP), IEEE, 2016."},"title":"A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels","external_id":{"arxiv":["1510.04601"]},"status":"public","arxiv":1,"oa_version":"Preprint","day":"16","quality_controlled":"1","abstract":[{"lang":"eng","text":"The pursuit of smaller pixel sizes at ever increasing resolution in digital image sensors is mainly driven by the stringent price and form-factor requirements of sensors and optics in the cellular phone market. Recently, Eric Fossum proposed a novel concept of an image sensor with dense sub-diffraction limit one-bit pixels (jots), which can be considered a digital emulation of silver halide photographic film. This idea has been recently embodied as the EPFL Gigavision camera. A major bottleneck in the design of such sensors is the image reconstruction process, producing a continuous high dynamic range image from oversampled binary measurements. The extreme quantization of the Poisson statistics is incompatible with the assumptions of most standard image processing and enhancement frameworks. The recently proposed maximum-likelihood (ML) approach addresses this difficulty, but suffers from image artefacts and has impractically high computational complexity. In this work, we study a variant of a sensor with binary threshold pixels and propose a reconstruction algorithm combining an ML data fitting term with a sparse synthesis prior. We also show an efficient hardware-friendly real-time approximation of this inverse operator. Promising results are shown on synthetic data as well as on HDR data emulated using multiple exposures of a regular CMOS sensor."}],"type":"conference","publication_status":"published","month":"06","year":"2016","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","date_published":"2016-06-16T00:00:00Z","author":[{"last_name":"Remez","full_name":"Remez, Tal","first_name":"Tal"},{"last_name":"Litany","first_name":"Or","full_name":"Litany, Or"},{"first_name":"Alexander","full_name":"Bronstein, Alexander","last_name":"Bronstein","orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"}],"conference":{"end_date":"2016-05-15","start_date":"2016-05-13","location":"Evanston, IL, United States","name":"IEEE International Conference on Computational Photography"},"publisher":"IEEE","language":[{"iso":"eng"}],"article_processing_charge":"No","article_number":"7492874","_id":"18388","scopus_import":"1","date_created":"2024-10-15T11:20:54Z","extern":"1","publication_identifier":{"eisbn":["9781467386234"]},"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1510.04601","open_access":"1"}]},{"publisher":"IEEE","article_processing_charge":"No","language":[{"iso":"eng"}],"date_published":"2016-07-01T00:00:00Z","page":"3444-3457","author":[{"last_name":"Giryes","first_name":"Raja","full_name":"Giryes, Raja"},{"full_name":"Sapiro, Guillermo","first_name":"Guillermo","last_name":"Sapiro"},{"last_name":"Bronstein","orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander","full_name":"Bronstein, Alexander"}],"scopus_import":"1","_id":"18419","issue":"13","extern":"1","date_created":"2024-10-15T11:20:55Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1504.08291"}],"publication_identifier":{"issn":["1053-587X"],"eissn":["1941-0476"]},"volume":64,"oa":1,"date_updated":"2024-12-18T11:49:18Z","intvolume":"        64","title":"Deep neural networks with random Gaussian weights: A universal classification strategy?","external_id":{"arxiv":["1504.08291"]},"status":"public","publication":"IEEE Transactions on Signal Processing","citation":{"mla":"Giryes, Raja, et al. “Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?” <i>IEEE Transactions on Signal Processing</i>, vol. 64, no. 13, IEEE, 2016, pp. 3444–57, doi:<a href=\"https://doi.org/10.1109/tsp.2016.2546221\">10.1109/tsp.2016.2546221</a>.","chicago":"Giryes, Raja, Guillermo Sapiro, and Alex M. Bronstein. “Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?” <i>IEEE Transactions on Signal Processing</i>. IEEE, 2016. <a href=\"https://doi.org/10.1109/tsp.2016.2546221\">https://doi.org/10.1109/tsp.2016.2546221</a>.","apa":"Giryes, R., Sapiro, G., &#38; Bronstein, A. M. (2016). Deep neural networks with random Gaussian weights: A universal classification strategy? <i>IEEE Transactions on Signal Processing</i>. IEEE. <a href=\"https://doi.org/10.1109/tsp.2016.2546221\">https://doi.org/10.1109/tsp.2016.2546221</a>","ista":"Giryes R, Sapiro G, Bronstein AM. 2016. Deep neural networks with random Gaussian weights: A universal classification strategy? IEEE Transactions on Signal Processing. 64(13), 3444–3457.","ama":"Giryes R, Sapiro G, Bronstein AM. Deep neural networks with random Gaussian weights: A universal classification strategy? <i>IEEE Transactions on Signal Processing</i>. 2016;64(13):3444-3457. doi:<a href=\"https://doi.org/10.1109/tsp.2016.2546221\">10.1109/tsp.2016.2546221</a>","ieee":"R. Giryes, G. Sapiro, and A. M. Bronstein, “Deep neural networks with random Gaussian weights: A universal classification strategy?,” <i>IEEE Transactions on Signal Processing</i>, vol. 64, no. 13. IEEE, pp. 3444–3457, 2016.","short":"R. Giryes, G. Sapiro, A.M. Bronstein, IEEE Transactions on Signal Processing 64 (2016) 3444–3457."},"doi":"10.1109/tsp.2016.2546221","oa_version":"Preprint","arxiv":1,"publication_status":"published","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","year":"2016","month":"07","day":"01","quality_controlled":"1","related_material":{"link":[{"url":"https://doi.org/10.1109/TSP.2019.2961228","relation":"erratum"}]},"abstract":[{"lang":"eng","text":"Three important properties of a classification machinery are i) the system preserves the core information of the input data; ii) the training examples convey information about unseen data; and iii) the system is able to treat differently points from different classes. In this paper, we show that these fundamental properties are satisfied by the architecture of deep neural networks. We formally prove that these networks with random Gaussian weights perform a distance-preserving embedding of the data, with a special treatment for in-class and out-of-class data. Similar points at the input of the network are likely to have a similar output. The theoretical analysis of deep networks here presented exploits tools used in the compressed sensing and dictionary learning literature, thereby making a formal connection between these important topics. The derived results allow drawing conclusions on the metric learning properties of the network and their relation to its structure, as well as providing bounds on the required size of the training set such that the training examples would represent faithfully the unseen data. The results are validated with state-of-the-art trained networks."}],"type":"journal_article"},{"oa_version":"Preprint","publication_status":"published","month":"08","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","year":"2016","day":"01","quality_controlled":"1","abstract":[{"text":"Shape correspondence is a fundamental problem in computer graphics and vision, with applications in various problems including animation, texture mapping, robotic vision, medical imaging, archaeology and many more. In settings where the shapes are allowed to undergo non-rigid deformations and only partial views are available, the problem becomes very challenging. To this end, we present a non-rigid multi-part shape matching algorithm. We assume to be given a reference shape and its multiple parts undergoing a non-rigid deformation. Each of these query parts can be additionally contaminated by clutter, may overlap with other parts, and there might be missing parts or redundant ones. Our method simultaneously solves for the segmentation of the reference model, and for a dense correspondence to (subsets of) the parts. Experimental results on synthetic as well as real scans demonstrate the effectiveness of our method in dealing with this challenging matching scenario.","lang":"eng"}],"type":"journal_article","volume":35,"oa":1,"date_updated":"2024-12-19T14:29:56Z","intvolume":"        35","title":"Non‐rigid puzzles","status":"public","publication":"Computer Graphics Forum","doi":"10.1111/cgf.12970","citation":{"ista":"Litany O, Rodolà E, Bronstein AM, Bronstein MM, Cremers D. 2016. Non‐rigid puzzles. Computer Graphics Forum. 35(5), 135–143.","ama":"Litany O, Rodolà E, Bronstein AM, Bronstein MM, Cremers D. Non‐rigid puzzles. <i>Computer Graphics Forum</i>. 2016;35(5):135-143. doi:<a href=\"https://doi.org/10.1111/cgf.12970\">10.1111/cgf.12970</a>","ieee":"O. Litany, E. Rodolà, A. M. Bronstein, M. M. Bronstein, and D. Cremers, “Non‐rigid puzzles,” <i>Computer Graphics Forum</i>, vol. 35, no. 5. Wiley, pp. 135–143, 2016.","short":"O. Litany, E. Rodolà, A.M. Bronstein, M.M. Bronstein, D. Cremers, Computer Graphics Forum 35 (2016) 135–143.","chicago":"Litany, O., E. Rodolà, Alex M. Bronstein, M. M. Bronstein, and D. Cremers. “Non‐rigid Puzzles.” <i>Computer Graphics Forum</i>. Wiley, 2016. <a href=\"https://doi.org/10.1111/cgf.12970\">https://doi.org/10.1111/cgf.12970</a>.","mla":"Litany, O., et al. “Non‐rigid Puzzles.” <i>Computer Graphics Forum</i>, vol. 35, no. 5, Wiley, 2016, pp. 135–43, doi:<a href=\"https://doi.org/10.1111/cgf.12970\">10.1111/cgf.12970</a>.","apa":"Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M. M., &#38; Cremers, D. (2016). Non‐rigid puzzles. <i>Computer Graphics Forum</i>. Wiley. <a href=\"https://doi.org/10.1111/cgf.12970\">https://doi.org/10.1111/cgf.12970</a>"},"issue":"5","extern":"1","date_created":"2024-10-15T11:20:55Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2011.13076"}],"publication_identifier":{"eissn":["1467-8659"],"issn":["0167-7055"]},"publisher":"Wiley","language":[{"iso":"eng"}],"article_processing_charge":"No","date_published":"2016-08-01T00:00:00Z","author":[{"first_name":"O.","full_name":"Litany, O.","last_name":"Litany"},{"last_name":"Rodolà","first_name":"E.","full_name":"Rodolà, E."},{"orcid":"0000-0001-9699-8730","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander","full_name":"Bronstein, Alexander"},{"last_name":"Bronstein","full_name":"Bronstein, M. M.","first_name":"M. M."},{"full_name":"Cremers, D.","first_name":"D.","last_name":"Cremers"}],"page":"135-143","scopus_import":"1","_id":"18426"},{"article_processing_charge":"No","language":[{"iso":"eng"}],"publisher":"Society for Industrial & Applied Mathematics","date_updated":"2024-12-19T13:05:21Z","volume":9,"intvolume":"         9","page":"1107-1126","author":[{"full_name":"Bian, Xiao","first_name":"Xiao","last_name":"Bian"},{"last_name":"Krim","first_name":"Hamid","full_name":"Krim, Hamid"},{"last_name":"Bronstein","orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander","full_name":"Bronstein, Alexander"},{"first_name":"Liyi","full_name":"Dai, Liyi","last_name":"Dai"}],"date_published":"2016-08-09T00:00:00Z","status":"public","title":"Sparsity and nullity: Paradigms for analysis dictionary learning","scopus_import":"1","doi":"10.1137/15m1030376","citation":{"apa":"Bian, X., Krim, H., Bronstein, A. M., &#38; Dai, L. (2016). Sparsity and nullity: Paradigms for analysis dictionary learning. <i>SIAM Journal on Imaging Sciences</i>. Society for Industrial &#38; Applied Mathematics. <a href=\"https://doi.org/10.1137/15m1030376\">https://doi.org/10.1137/15m1030376</a>","chicago":"Bian, Xiao, Hamid Krim, Alex M. Bronstein, and Liyi Dai. “Sparsity and Nullity: Paradigms for Analysis Dictionary Learning.” <i>SIAM Journal on Imaging Sciences</i>. Society for Industrial &#38; Applied Mathematics, 2016. <a href=\"https://doi.org/10.1137/15m1030376\">https://doi.org/10.1137/15m1030376</a>.","mla":"Bian, Xiao, et al. “Sparsity and Nullity: Paradigms for Analysis Dictionary Learning.” <i>SIAM Journal on Imaging Sciences</i>, vol. 9, no. 3, Society for Industrial &#38; Applied Mathematics, 2016, pp. 1107–26, doi:<a href=\"https://doi.org/10.1137/15m1030376\">10.1137/15m1030376</a>.","ama":"Bian X, Krim H, Bronstein AM, Dai L. Sparsity and nullity: Paradigms for analysis dictionary learning. <i>SIAM Journal on Imaging Sciences</i>. 2016;9(3):1107-1126. doi:<a href=\"https://doi.org/10.1137/15m1030376\">10.1137/15m1030376</a>","ista":"Bian X, Krim H, Bronstein AM, Dai L. 2016. Sparsity and nullity: Paradigms for analysis dictionary learning. SIAM Journal on Imaging Sciences. 9(3), 1107–1126.","short":"X. Bian, H. Krim, A.M. Bronstein, L. Dai, SIAM Journal on Imaging Sciences 9 (2016) 1107–1126.","ieee":"X. Bian, H. Krim, A. M. Bronstein, and L. Dai, “Sparsity and nullity: Paradigms for analysis dictionary learning,” <i>SIAM Journal on Imaging Sciences</i>, vol. 9, no. 3. Society for Industrial &#38; Applied Mathematics, pp. 1107–1126, 2016."},"publication":"SIAM Journal on Imaging Sciences","_id":"18430","extern":"1","oa_version":"None","issue":"3","date_created":"2024-10-15T11:20:55Z","month":"08","year":"2016","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publication_status":"published","type":"journal_article","abstract":[{"text":"Sparse models in dictionary learning have been successfully applied in a wide variety of machine learning and computer vision problems, and as a result have recently attracted increased research interest. Another interesting related problem based on linear equality constraints, namely the sparse null space (SNS) problem, first appeared in 1986 and has since inspired results on sparse basis pursuit. In this paper, we investigate the relation between the SNS problem and the analysis dictionary learning (ADL) problem, and show that the SNS problem plays a central role, and may be utilized to solve dictionary learning problems. Moreover, we propose an efficient algorithm of sparse null space basis pursuit (SNS-BP) and extend it to a solution of ADL. Experimental results on numerical synthetic data and real-world data are further presented to validate the performance of our method.","lang":"eng"}],"quality_controlled":"1","day":"09","publication_identifier":{"eissn":["1936-4954"]}}]