Year |
Citation |
Score |
2021 |
Ko TW, Finkler JA, Goedecker S, Behler J. General-Purpose Machine Learning Potentials Capturing Nonlocal Charge Transfer. Accounts of Chemical Research. PMID 33513012 DOI: 10.1021/acs.accounts.0c00689 |
0.68 |
|
2021 |
Ko TW, Finkler JA, Goedecker S, Behler J. A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transfer. Nature Communications. 12: 398. PMID 33452239 DOI: 10.1038/s41467-020-20427-2 |
0.68 |
|
2020 |
Shao Y, Hellström M, Yllö A, Mindemark J, Hermansson K, Behler J, Zhang C. Temperature effects on the ionic conductivity in concentrated alkaline electrolyte solutions. Physical Chemistry Chemical Physics : Pccp. PMID 31895378 DOI: 10.1039/c9cp06479f |
0.52 |
|
2019 |
Schran C, Behler J, Marx D. Automated Fitting of Neural Network Potentials at Coupled Cluster Accuracy: Protonated Water Clusters as Testing Ground. Journal of Chemical Theory and Computation. PMID 31743025 DOI: 10.1021/acs.jctc.9b00805 |
1 |
|
2019 |
Stalke D, Keil H, Hellström M, Stückl C, Herbst-Irmer R, Behler J. New insights in the catalytic activity of cobalt orthophosphate Co3(PO4)2 from charge density analysis. Chemistry (Weinheim An Der Bergstrasse, Germany). PMID 31361370 DOI: 10.1002/chem.201902303 |
0.52 |
|
2019 |
Singraber A, Morawietz T, Behler J, Dellago C. Parallel Multistream Training of High-Dimensional Neural Network Potentials. Journal of Chemical Theory and Computation. PMID 30995035 DOI: 10.1021/acs.jctc.8b01092 |
1 |
|
2019 |
Hellström M, Quaranta V, Behler J. One-dimensional two-dimensional proton transport processes at solid-liquid zinc-oxide-water interfaces. Chemical Science. 10: 1232-1243. PMID 30774924 DOI: 10.1039/c8sc03033b |
0.52 |
|
2019 |
Singraber A, Behler J, Dellago C. Library-Based LAMMPS Implementation of High-Dimensional Neural Network Potentials. Journal of Chemical Theory and Computation. PMID 30677296 DOI: 10.1021/acs.jctc.8b00770 |
1 |
|
2019 |
Cheng B, Engel EA, Behler J, Dellago C, Ceriotti M. Ab initio thermodynamics of liquid and solid water. Proceedings of the National Academy of Sciences of the United States of America. PMID 30610171 DOI: 10.1073/pnas.1815117116 |
1 |
|
2018 |
Hellström M, Ceriotti M, Behler J. Nuclear Quantum Effects in Sodium Hydroxide Solutions from Neural Network Molecular Dynamics Simulations. The Journal of Physical Chemistry. B. PMID 30335385 DOI: 10.1021/acs.jpcb.8b06433 |
0.6 |
|
2018 |
Imbalzano G, Anelli A, Giofré D, Klees S, Behler J, Ceriotti M. Automatic selection of atomic fingerprints and reference configurations for machine-learning potentials. The Journal of Chemical Physics. 148: 241730. PMID 29960368 DOI: 10.1063/1.5024611 |
0.6 |
|
2018 |
Quaranta V, Hellström M, Behler J, Kullgren J, Mitev PD, Hermansson K. Maximally resolved anharmonic OH vibrational spectrum of the water/ZnO(101¯0) interface from a high-dimensional neural network potential. The Journal of Chemical Physics. 148: 241720. PMID 29960340 DOI: 10.1063/1.5012980 |
0.52 |
|
2018 |
Nguyen TT, Székely E, Imbalzano G, Behler J, Csányi G, Ceriotti M, Götz AW, Paesani F. Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions. The Journal of Chemical Physics. 148: 241725. PMID 29960316 DOI: 10.1063/1.5024577 |
0.6 |
|
2018 |
Singraber A, Morawietz T, Behler J, Dellago C. Density anomaly of water at negative pressures from first principles. Journal of Physics. Condensed Matter : An Institute of Physics Journal. PMID 29762140 DOI: 10.1088/1361-648X/aac4f4 |
1 |
|
2018 |
Schran C, Uhl F, Behler J, Marx D. High-dimensional neural network potentials for solvation: The case of protonated water clusters in helium. The Journal of Chemical Physics. 148: 102310. PMID 29544280 DOI: 10.1063/1.4996819 |
1 |
|
2017 |
Hellström M, Behler J. Surface phase diagram prediction from a minimal number of DFT calculations: redox-active adsorbates on zinc oxide. Physical Chemistry Chemical Physics : Pccp. 19: 28731-28748. PMID 29044257 DOI: 10.1039/c7cp05182d |
0.52 |
|
2017 |
Hellström M, Behler J. Proton-Transfer-Driven Water Exchange Mechanism in the Na Solvation Shell. The Journal of Physical Chemistry. B. 121: 4184-4190. PMID 28375608 DOI: 10.1021/acs.jpcb.7b01490 |
0.52 |
|
2017 |
Quaranta V, Hellström M, Behler J. Proton-Transfer Mechanisms at the Water-ZnO Interface: The Role of Presolvation. The Journal of Physical Chemistry Letters. 8: 1476-1483. PMID 28296415 DOI: 10.1021/acs.jpclett.7b00358 |
0.52 |
|
2016 |
Kapil V, Behler J, Ceriotti M. High order path integrals made easy. The Journal of Chemical Physics. 145: 234103. PMID 28010075 DOI: 10.1063/1.4971438 |
0.6 |
|
2016 |
Hellström M, Behler J. Structure of aqueous NaOH solutions: insights from neural-network-based molecular dynamics simulations. Physical Chemistry Chemical Physics : Pccp. 19: 82-96. PMID 27805193 DOI: 10.1039/c6cp06547c |
0.52 |
|
2016 |
Hellström M, Behler J. Concentration-Dependent Proton Transfer Mechanisms in Aqueous NaOH Solutions: From Acceptor-Driven to Donor-Driven and Back. The Journal of Physical Chemistry Letters. 7: 3302-6. PMID 27504986 DOI: 10.1021/acs.jpclett.6b01448 |
0.52 |
|
2016 |
Morawietz T, Singraber A, Dellago C, Behler J. How van der Waals interactions determine the unique properties of water. Proceedings of the National Academy of Sciences of the United States of America. PMID 27402761 DOI: 10.1073/pnas.1602375113 |
1 |
|
2016 |
Cheng B, Behler J, Ceriotti M. Nuclear Quantum Effects in Water at the Triple Point: Using Theory as a Link Between Experiments. The Journal of Physical Chemistry Letters. PMID 27203358 DOI: 10.1021/acs.jpclett.6b00729 |
1 |
|
2015 |
Seema P, Behler J, Marx D. Peeling by Nanomechanical Forces: A Route to Selective Creation of Surface Structures. Physical Review Letters. 115: 036102. PMID 26230805 DOI: 10.1103/PhysRevLett.115.036102 |
1 |
|
2015 |
Kondati Natarajan S, Morawietz T, Behler J. Representing the potential-energy surface of protonated water clusters by high-dimensional neural network potentials. Physical Chemistry Chemical Physics : Pccp. 17: 8356-71. PMID 25436835 DOI: 10.1039/c4cp04751f |
1 |
|
2014 |
Sosso GC, Colombo J, Behler J, Del Gado E, Bernasconi M. Dynamical heterogeneity in the supercooled liquid state of the phase change material GeTe. The Journal of Physical Chemistry. B. 118: 13621-8. PMID 25356792 DOI: 10.1021/jp507361f |
1 |
|
2013 |
Sosso GC, Miceli G, Caravati S, Giberti F, Behler J, Bernasconi M. Fast Crystallization of the Phase Change Compound GeTe by Large-Scale Molecular Dynamics Simulations. The Journal of Physical Chemistry Letters. 4: 4241-6. PMID 26296172 DOI: 10.1021/jz402268v |
0.36 |
|
2013 |
Seema P, Behler J, Marx D. Force-induced mechanical response of molecule-metal interfaces: molecular nanomechanics of propanethiolate self-assembled monolayers on Au(111). Physical Chemistry Chemical Physics : Pccp. 15: 16001-11. PMID 23959524 DOI: 10.1039/c3cp52181h |
1 |
|
2013 |
Morawietz T, Behler J. A density-functional theory-based neural network potential for water clusters including van der Waals corrections. The Journal of Physical Chemistry. A. 117: 7356-66. PMID 23557541 DOI: 10.1021/jp401225b |
1 |
|
2012 |
Jose KVJ, Artrith N, Behler J. Construction of high-dimensional neural network potentials using environment-dependent atom pairs Journal of Chemical Physics. 136. PMID 22612084 DOI: 10.1063/1.4712397 |
1 |
|
2012 |
Eshet H, Khaliullin RZ, Kühne TD, Behler J, Parrinello M. Microscopic origins of the anomalous melting behavior of sodium under high pressure. Physical Review Letters. 108: 115701. PMID 22540486 |
0.72 |
|
2012 |
Morawietz T, Sharma V, Behler J. A neural network potential-energy surface for the water dimer based on environment-dependent atomic energies and charges. The Journal of Chemical Physics. 136: 064103. PMID 22360165 DOI: 10.1063/1.3682557 |
1 |
|
2012 |
Eshet H, Khaliullin RZ, Kühne TD, Behler J, Parrinello M. Microscopic origins of the anomalous melting behavior of sodium under high pressure Physical Review Letters. 108. DOI: 10.1103/PhysRevLett.108.115701 |
1 |
|
2011 |
Khaliullin RZ, Eshet H, Kühne TD, Behler J, Parrinello M. Nucleation mechanism for the direct graphite-to-diamond phase transition. Nature Materials. 10: 693-7. PMID 21785417 DOI: 10.1038/nmat3078 |
0.72 |
|
2011 |
Khaliullin RZ, Eshet H, Kühne TD, Behler J, Parrinello M. Nucleation mechanism for the direct graphite-to-diamond phase transition Nature Materials. 10: 693-697. DOI: 10.1038/nmat3078 |
1 |
|
2010 |
Khaliullin RZ, Eshet H, Kühne TD, Behler J, Parrinello M. Graphite-diamond phase coexistence study employing a neural-network mapping of the ab initio potential energy surface Physical Review B - Condensed Matter and Materials Physics. 81. DOI: 10.1103/PhysRevB.81.100103 |
1 |
|
2008 |
Carbogno C, Behler J, Grob A, Reuter K. Fingerprints for spin-selection rules in the interaction dynamics of O2 at Al(111). Physical Review Letters. 101: 096104. PMID 18851627 DOI: 10.1103/PhysRevLett.101.096104 |
0.72 |
|
2008 |
Behler J, Martonák R, Donadio D, Parrinello M. Metadynamics simulations of the high-pressure phases of silicon employing a high-dimensional neural network potential. Physical Review Letters. 100: 185501. PMID 18518388 DOI: 10.1103/PhysRevLett.100.185501 |
1 |
|
2007 |
Behler J, Lorenz S, Reuter K. Representing molecule-surface interactions with symmetry-adapted neural networks. The Journal of Chemical Physics. 127: 014705. PMID 17627362 DOI: 10.1063/1.2746232 |
0.72 |
|
2007 |
Behler J, Parrinello M. Generalized neural-network representation of high-dimensional potential-energy surfaces. Physical Review Letters. 98: 146401. PMID 17501293 DOI: 10.1103/PhysRevLett.98.146401 |
1 |
|
2005 |
Behler J, Delley B, Lorenz S, Reuter K, Scheffler M. Dissociation of O2 at Al(111): the role of spin selection rules. Physical Review Letters. 94: 036104. PMID 15698287 DOI: 10.1103/PhysRevLett.94.036104 |
0.72 |
|
2004 |
Fielicke A, Kirilyuk A, Ratsch C, Behler J, Scheffler M, von Helden G, Meijer G. Structure determination of isolated metal clusters via far-infrared spectroscopy. Physical Review Letters. 93: 023401. PMID 15323913 DOI: 10.1103/PhysRevLett.93.023401 |
1 |
|
2002 |
Ludwig R, Behler J, Klink B, Weinhold F. Molecular composition of liquid sulfur. Angewandte Chemie (International Ed. in English). 41: 3199-202. PMID 12207388 DOI: 10.1002/1521-3773(20020902)41:17<3199::AID-ANIE3199>3.0.CO;2-9 |
1 |
|
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