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For: Raff LM, Malshe M, Hagan M, Doughan DI, Rockley MG, Komanduri R. Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks. J Chem Phys 2005;122:84104. [PMID: 15836017 DOI: 10.1063/1.1850458] [Citation(s) in RCA: 110] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
Number Cited by Other Article(s)
51
Conte R, Qu C, Bowman JM. Permutationally Invariant Fitting of Many-Body, Non-covalent Interactions with Application to Three-Body Methane–Water–Water. J Chem Theory Comput 2015;11:1631-8. [DOI: 10.1021/acs.jctc.5b00091] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
52
Majumder M, Hegger SE, Dawes R, Manzhos S, Wang XG, Tucker C, Li J, Guo H. Explicitly correlated MRCI-F12 potential energy surfaces for methane fit with several permutation invariant schemes and full-dimensional vibrational calculations. Mol Phys 2015. [DOI: 10.1080/00268976.2015.1015642] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
53
Su NQ, Chen J, Sun Z, Zhang DH, Xu X. H + H2 quantum dynamics using potential energy surfaces based on the XYG3 type of doubly hybrid density functionals: Validation of the density functionals. J Chem Phys 2015;142:084107. [DOI: 10.1063/1.4913196] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
54
Xu X, Chen J, Zhang DH. Global Potential Energy Surface for the H+CH4↔H2+CH3 Reaction using Neural Networks. CHINESE J CHEM PHYS 2014. [DOI: 10.1063/1674-0068/27/04/373-379] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
55
Behler J. Representing potential energy surfaces by high-dimensional neural network potentials. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2014;26:183001. [PMID: 24758952 DOI: 10.1088/0953-8984/26/18/183001] [Citation(s) in RCA: 158] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
56
Jiang B, Guo H. Six-dimensional quantum dynamics for dissociative chemisorption of H2 and D2 on Ag(111) on a permutation invariant potential energy surface. Phys Chem Chem Phys 2014;16:24704-15. [DOI: 10.1039/c4cp03761h] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
57
Haag MP, Reiher M. Studying chemical reactivity in a virtual environment. Faraday Discuss 2014;169:89-118. [DOI: 10.1039/c4fd00021h] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
58
Li J, Jiang B, Guo H. Permutation invariant polynomial neural network approach to fitting potential energy surfaces. II. Four-atom systems. J Chem Phys 2013;139:204103. [DOI: 10.1063/1.4832697] [Citation(s) in RCA: 237] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
59
Dissociative chemisorption dynamics of small molecules on metal surfaces. Sci China Chem 2013. [DOI: 10.1007/s11426-013-4976-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
60
Jiang B, Guo H. Permutation invariant polynomial neural network approach to fitting potential energy surfaces. J Chem Phys 2013;139:054112. [DOI: 10.1063/1.4817187] [Citation(s) in RCA: 320] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
61
Chen J, Xu X, Xu X, Zhang DH. Communication: An accurate global potential energy surface for the OH + CO → H + CO2 reaction using neural networks. J Chem Phys 2013;138:221104. [DOI: 10.1063/1.4811109] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]  Open
62
Morawietz T, Behler J. A density-functional theory-based neural network potential for water clusters including van der Waals corrections. J Phys Chem A 2013;117:7356-66. [PMID: 23557541 DOI: 10.1021/jp401225b] [Citation(s) in RCA: 103] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
63
Chen J, Xu X, Xu X, Zhang DH. A global potential energy surface for the H2 + OH ↔ H2O + H reaction using neural networks. J Chem Phys 2013;138:154301. [DOI: 10.1063/1.4801658] [Citation(s) in RCA: 139] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
64
Barragán P, Prosmiti R, Wang Y, Bowman JM. Full-dimensional (15-dimensional) ab initio analytical potential energy surface for the H7+ cluster. J Chem Phys 2012;136:224302. [PMID: 22713042 DOI: 10.1063/1.4726126] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]  Open
65
Jose KVJ, Artrith N, Behler J. Construction of high-dimensional neural network potentials using environment-dependent atom pairs. J Chem Phys 2012;136:194111. [PMID: 22612084 DOI: 10.1063/1.4712397] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
66
Morawietz T, Sharma V, Behler J. A neural network potential-energy surface for the water dimer based on environment-dependent atomic energies and charges. J Chem Phys 2012;136:064103. [PMID: 22360165 DOI: 10.1063/1.3682557] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
67
Nguyen HTT, Le HM. Modified Feed-Forward Neural Network Structures and Combined-Function-Derivative Approximations Incorporating Exchange Symmetry for Potential Energy Surface Fitting. J Phys Chem A 2012;116:4629-38. [DOI: 10.1021/jp3020386] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
68
Liu S, Xiao C, Wang T, Chen J, Yang T, Xu X, Zhang DH, Yang X. The dynamics of the D2 + OH → HOD + D reaction: A combined theoretical and experimental study. Faraday Discuss 2012;157:101-11; discussion 113-40. [DOI: 10.1039/c2fd20018j] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
69
Le HM, Dinh TS, Le HV. Molecular Dynamics Investigations of Ozone on an Ab Initio Potential Energy Surface with the Utilization of Pattern-Recognition Neural Network for Accurate Determination of Product Formation. J Phys Chem A 2011;115:10862-70. [DOI: 10.1021/jp206531s] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
70
Carrington T, Wang XG. Computing ro-vibrational spectra of van der Waals molecules. WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE 2011. [DOI: 10.1002/wcms.73] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
71
Pukrittayakamee A, Hagan M, Raff L, Bukkapatnam STS, Komanduri R. Practical training framework for fitting a function and its derivatives. ACTA ACUST UNITED AC 2011;22:936-47. [PMID: 21592919 DOI: 10.1109/tnn.2011.2128344] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
72
Wang LP, Van Voorhis T. Communication: Hybrid ensembles for improved force matching. J Chem Phys 2011;133:231101. [PMID: 21186847 DOI: 10.1063/1.3519043] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]  Open
73
Balabin RM, Lomakina EI. Support vector machine regression (LS-SVM)—an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data? Phys Chem Chem Phys 2011;13:11710-8. [DOI: 10.1039/c1cp00051a] [Citation(s) in RCA: 139] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
74
Behler J. Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations. Phys Chem Chem Phys 2011;13:17930-55. [DOI: 10.1039/c1cp21668f] [Citation(s) in RCA: 477] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
75
Frankcombe TJ, Collins MA. Potential energy surfaces for gas-surface reactions. Phys Chem Chem Phys 2011;13:8379-91. [DOI: 10.1039/c0cp01843k] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
76
Barragán P, Prosmiti R, Roncero O, Aguado A, Villarreal P, Delgado-Barrio G. Toward a realistic density functional theory potential energy surface for the H5+ cluster. J Chem Phys 2010;133:054303. [PMID: 20707528 DOI: 10.1063/1.3466763] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]  Open
77
Malshe M, Raff LM, Hagan M, Bukkapatnam S, Komanduri R. Input vector optimization of feed-forward neural networks for fitting ab initio potential-energy databases. J Chem Phys 2010;132:204103. [PMID: 20515084 DOI: 10.1063/1.3431624] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]  Open
78
Handley CM, Popelier PLA. Potential Energy Surfaces Fitted by Artificial Neural Networks. J Phys Chem A 2010;114:3371-83. [DOI: 10.1021/jp9105585] [Citation(s) in RCA: 241] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
79
Le HM, Raff LM. Molecular Dynamics Investigation of the Bimolecular Reaction BeH + H2 → BeH2 + H on an ab Initio Potential-Energy Surface Obtained Using Neural Network Methods with Both Potential and Gradient Accuracy Determination. J Phys Chem A 2009;114:45-53. [DOI: 10.1021/jp907507z] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
80
Marti KH, Reiher M. Haptic quantum chemistry. J Comput Chem 2009;30:2010-20. [DOI: 10.1002/jcc.21201] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
81
Malshe M, Pukrittayakamee A, Raff LM, Hagan M, Bukkapatnam S, Komanduri R. Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree–Fock energies, and small subsets of the database. J Chem Phys 2009;131:124127. [DOI: 10.1063/1.3231686] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
82
Balabin RM, Lomakina EI. Neural network approach to quantum-chemistry data: Accurate prediction of density functional theory energies. J Chem Phys 2009;131:074104. [DOI: 10.1063/1.3206326] [Citation(s) in RCA: 115] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]  Open
83
Le HM, Huynh S, Raff LM. Molecular dissociation of hydrogen peroxide (HOOH) on a neural network ab initio potential surface with a new configuration sampling method involving gradient fitting. J Chem Phys 2009;131:014107. [DOI: 10.1063/1.3159748] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
84
Malshe M, Narulkar R, Raff LM, Hagan M, Bukkapatnam S, Agrawal PM, Komanduri R. Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations. J Chem Phys 2009;130:184102. [PMID: 19449903 DOI: 10.1063/1.3124802] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
85
Dawes R, Passalacqua A, Wagner AF, Sewell TD, Minkoff M, Thompson DL. Interpolating moving least-squares methods for fitting potential energy surfaces: Using classical trajectories to explore configuration space. J Chem Phys 2009;130:144107. [DOI: 10.1063/1.3111261] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
86
Pukrittayakamee A, Malshe M, Hagan M, Raff LM, Narulkar R, Bukkapatnum S, Komanduri R. Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks. J Chem Phys 2009;130:134101. [DOI: 10.1063/1.3095491] [Citation(s) in RCA: 88] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
87
Dawes R, Wagner AF, Thompson DL. Ab Initio Wavenumber Accurate Spectroscopy: 1CH2 and HCN Vibrational Levels on Automatically Generated IMLS Potential Energy Surfaces. J Phys Chem A 2009;113:4709-21. [DOI: 10.1021/jp900409r] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
88
Manzhos S, Carrington T. Using neural networks, optimized coordinates, and high-dimensional model representations to obtain a vinyl bromide potential surface. J Chem Phys 2009;129:224104. [PMID: 19071904 DOI: 10.1063/1.3021471] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
89
Agrawal PM, Malshe M, Narulkar R, Raff LM, Hagan M, Bukkapatnum S, Komanduri R. A Self-Starting Method for Obtaining Analytic Potential-Energy Surfaces from ab Initio Electronic Structure Calculations. J Phys Chem A 2009;113:869-77. [DOI: 10.1021/jp8085232] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
90
Latino DA, Fartaria RP, Freitas FF, Aires-de-Sousa J, Fernandes FMS. Mapping Potential Energy Surfaces by Neural Networks: The ethanol/Au(111) interface. J Electroanal Chem (Lausanne) 2008. [DOI: 10.1016/j.jelechem.2008.07.032] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
91
Guo Y. Potential energy surface for H2CN by a dual-level interpolation approach. Chem Phys Lett 2008. [DOI: 10.1016/j.cplett.2008.10.056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
92
Malshe M, Narulkar R, Raff LM, Hagan M, Bukkapatnam S, Komanduri R. Parametrization of analytic interatomic potential functions using neural networks. J Chem Phys 2008;129:044111. [DOI: 10.1063/1.2957490] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
93
Le HM, Raff LM. Cis→trans, trans→cis isomerizations and N–O bond dissociation of nitrous acid (HONO) on an ab initio potential surface obtained by novelty sampling and feed-forward neural network fitting. J Chem Phys 2008;128:194310. [DOI: 10.1063/1.2918503] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
94
Dawes R, Thompson DL, Wagner AF, Minkoff M. Interpolating moving least-squares methods for fitting potential energy surfaces: A strategy for efficient automatic data point placement in high dimensions. J Chem Phys 2008;128:084107. [DOI: 10.1063/1.2831790] [Citation(s) in RCA: 93] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
95
Ludwig J, Vlachos DG. Ab initio molecular dynamics of hydrogen dissociation on metal surfaces using neural networks and novelty sampling. J Chem Phys 2007;127:154716. [PMID: 17949200 DOI: 10.1063/1.2794338] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
96
Guo Y, Tokmakov I, Thompson DL, Wagner AF, Minkoff M. Interpolating moving least-squares methods for fitting potential energy surfaces: Improving efficiency via local approximants. J Chem Phys 2007;127:214106. [DOI: 10.1063/1.2805084] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
97
Malshe M, Raff LM, Rockley MG, Hagan M, Agrawal PM, Komanduri R. Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feedforward neural networks. II. Numerical application of the method. J Chem Phys 2007;127:134105. [DOI: 10.1063/1.2768948] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
98
Behler J, Lorenz S, Reuter K. Representing molecule-surface interactions with symmetry-adapted neural networks. J Chem Phys 2007;127:014705. [PMID: 17627362 DOI: 10.1063/1.2746232] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]  Open
99
Manzhos S, Carrington T. Using redundant coordinates to represent potential energy surfaces with lower-dimensional functions. J Chem Phys 2007;127:014103. [PMID: 17627333 DOI: 10.1063/1.2746846] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
100
Dawes R, Thompson DL, Guo Y, Wagner AF, Minkoff M. Interpolating moving least-squares methods for fitting potential energy surfaces: Computing high-density potential energy surface data from low-density ab initio data points. J Chem Phys 2007;126:184108. [PMID: 17508793 DOI: 10.1063/1.2730798] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]  Open
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