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For: von Rudorff GF, Heinen SN, Bragato M, von Lilienfeld OA. Thousands of reactants and transition states for competing E2 and S$_\mathrm{N}$2 reactions. Mach Learn : Sci Technol 2020. [DOI: 10.1088/2632-2153/aba822] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Number Cited by Other Article(s)
1
Stuyver T. TS-tools: Rapid and automated localization of transition states based on a textual reaction SMILES input. J Comput Chem 2024. [PMID: 38850166 DOI: 10.1002/jcc.27374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/08/2024] [Accepted: 03/20/2024] [Indexed: 06/10/2024]
2
Yang Y, Zhang S, Ranasinghe KD, Isayev O, Roitberg AE. Machine Learning of Reactive Potentials. Annu Rev Phys Chem 2024;75:371-395. [PMID: 38941524 DOI: 10.1146/annurev-physchem-062123-024417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2024]
3
Vadaddi SM, Zhao Q, Savoie BM. Graph to Activation Energy Models Easily Reach Irreducible Errors but Show Limited Transferability. J Phys Chem A 2024;128:2543-2555. [PMID: 38517281 DOI: 10.1021/acs.jpca.3c07240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
4
Nippa DF, Atz K, Hohler R, Müller AT, Marx A, Bartelmus C, Wuitschik G, Marzuoli I, Jost V, Wolfard J, Binder M, Stepan AF, Konrad DB, Grether U, Martin RE, Schneider G. Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning. Nat Chem 2024;16:239-248. [PMID: 37996732 PMCID: PMC10849962 DOI: 10.1038/s41557-023-01360-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 10/03/2023] [Indexed: 11/25/2023]
5
Levine DS, Jacobson LD, Bochevarov AD. Large Computational Survey of Intrinsic Reactivity of Aromatic Carbon Atoms with Respect to a Model Aldehyde Oxidase. J Chem Theory Comput 2023;19:9302-9317. [PMID: 38085599 DOI: 10.1021/acs.jctc.3c00913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
6
Domenichini G, Dellago C. Molecular Hessian matrices from a machine learning random forest regression algorithm. J Chem Phys 2023;159:194111. [PMID: 37982481 DOI: 10.1063/5.0169384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/27/2023] [Indexed: 11/21/2023]  Open
7
Lewis-Atwell T, Beechey D, Şimşek Ö, Grayson MN. Reformulating Reactivity Design for Data-Efficient Machine Learning. ACS Catal 2023;13:13506-13515. [PMID: 37881791 PMCID: PMC10594582 DOI: 10.1021/acscatal.3c02513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/24/2023] [Indexed: 10/27/2023]
8
Huang B, von Rudorff GF, von Lilienfeld OA. The central role of density functional theory in the AI age. Science 2023;381:170-175. [PMID: 37440654 DOI: 10.1126/science.abn3445] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 05/30/2023] [Indexed: 07/15/2023]
9
Transition1x - a dataset for building generalizable reactive machine learning potentials. Sci Data 2022;9:779. [PMID: 36566281 PMCID: PMC9789978 DOI: 10.1038/s41597-022-01870-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/16/2022] [Indexed: 12/25/2022]  Open
10
Heinen S, von Rudorff GF, von Lilienfeld OA. Transition state search and geometry relaxation throughout chemical compound space with quantum machine learning. J Chem Phys 2022;157:221102. [PMID: 36546806 DOI: 10.1063/5.0112856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]  Open
11
Santra G, Calinsky R, Martin JML. Benefits of Range-Separated Hybrid and Double-Hybrid Functionals for a Large and Diverse Data Set of Reaction Energies and Barrier Heights. J Phys Chem A 2022;126:5492-5505. [PMID: 35930677 PMCID: PMC9393870 DOI: 10.1021/acs.jpca.2c03922] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
12
Weinreich J, Lemm D, von Rudorff GF, von Lilienfeld OA. Ab initio machine learning of phase space averages. J Chem Phys 2022;157:024303. [PMID: 35840379 DOI: 10.1063/5.0095674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
13
Komp E, Valleau S. Low-cost prediction of molecular and transition state partition functions via machine learning. Chem Sci 2022;13:7900-7906. [PMID: 35865893 PMCID: PMC9258343 DOI: 10.1039/d2sc01334g] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 06/10/2022] [Indexed: 11/21/2022]  Open
14
Spiekermann KA, Pattanaik L, Green WH. Fast Predictions of Reaction Barrier Heights: Toward Coupled-Cluster Accuracy. J Phys Chem A 2022;126:3976-3986. [PMID: 35727075 DOI: 10.1021/acs.jpca.2c02614] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
15
Prasad VK, Otero-de-la-Roza A, DiLabio GA. Small-Basis Set Density-Functional Theory Methods Corrected with Atom-Centered Potentials. J Chem Theory Comput 2022;18:2913-2930. [PMID: 35412817 DOI: 10.1021/acs.jctc.2c00036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
16
Stuyver T, Coley CW. Quantum chemistry-augmented neural networks for reactivity prediction: Performance, generalizability, and explainability. J Chem Phys 2022;156:084104. [DOI: 10.1063/5.0079574] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]  Open
17
Komp E, Janulaitis N, Valleau S. Progress towards machine learning reaction rate constants. Phys Chem Chem Phys 2021;24:2692-2705. [PMID: 34935798 DOI: 10.1039/d1cp04422b] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
18
Prasad VK, Pei Z, Edelmann S, Otero-de-la-Roza A, DiLabio GA. BH9, a New Comprehensive Benchmark Data Set for Barrier Heights and Reaction Energies: Assessment of Density Functional Approximations and Basis Set Incompleteness Potentials. J Chem Theory Comput 2021;18:151-166. [PMID: 34911294 DOI: 10.1021/acs.jctc.1c00694] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
19
Heid E, Green WH. Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction. J Chem Inf Model 2021;62:2101-2110. [PMID: 34734699 PMCID: PMC9092344 DOI: 10.1021/acs.jcim.1c00975] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
20
Okada H, Maeda S. A Dataset of Computational Reaction Barriers for the Claisen Rearrangement: Chemical and Numerical Analysis. Mol Inform 2021;41:e2100216. [PMID: 34661976 DOI: 10.1002/minf.202100216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/29/2021] [Indexed: 01/24/2023]
21
Huang B, von Lilienfeld OA. Ab Initio Machine Learning in Chemical Compound Space. Chem Rev 2021;121:10001-10036. [PMID: 34387476 PMCID: PMC8391942 DOI: 10.1021/acs.chemrev.0c01303] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Indexed: 12/11/2022]
22
Heinen S, von Rudorff GF, von Lilienfeld OA. Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space. J Chem Phys 2021;155:064105. [PMID: 34391351 DOI: 10.1063/5.0059742] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]  Open
23
Lemm D, von Rudorff GF, von Lilienfeld OA. Machine learning based energy-free structure predictions of molecules, transition states, and solids. Nat Commun 2021;12:4468. [PMID: 34294693 PMCID: PMC8298673 DOI: 10.1038/s41467-021-24525-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/22/2021] [Indexed: 02/06/2023]  Open
24
Stuyver T, Shaik S. Resolving Entangled Reactivity Modes through External Electric Fields and Substitution: Application to E2/SN2 Reactions. J Org Chem 2021;86:9030-9039. [PMID: 34152765 DOI: 10.1021/acs.joc.1c01010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
25
Schwaller P, Vaucher AC, Laino T, Reymond JL. Prediction of chemical reaction yields using deep learning. MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1088/2632-2153/abc81d] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
26
Jorner K, Brinck T, Norrby PO, Buttar D. Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies. Chem Sci 2021;12:1163-1175. [PMID: 36299676 PMCID: PMC9528810 DOI: 10.1039/d0sc04896h] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 11/02/2020] [Indexed: 12/19/2022]  Open
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