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For: Taylor MG, Yang T, Lin S, Nandy A, Janet JP, Duan C, Kulik HJ. Seeing Is Believing: Experimental Spin States from Machine Learning Model Structure Predictions. J Phys Chem A 2020;124:3286-3299. [PMID: 32223165 PMCID: PMC7311053 DOI: 10.1021/acs.jpca.0c01458] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Number Cited by Other Article(s)
1
Huang X, Kevlishvili I, Craig SL, Kulik HJ. Force-Activated Spin-Crossover in Fe2+ and Co2+ Transition Metal Mechanophores. Inorg Chem 2024. [PMID: 39714959 DOI: 10.1021/acs.inorgchem.4c04732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2024]
2
Kevlishvili I, St Michel RG, Garrison AG, Toney JW, Adamji H, Jia H, Román-Leshkov Y, Kulik HJ. Leveraging natural language processing to curate the tmCAT, tmPHOTO, tmBIO, and tmSCO datasets of functional transition metal complexes. Faraday Discuss 2024. [PMID: 39301698 DOI: 10.1039/d4fd00087k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024]
3
Schmid SP, Schlosser L, Glorius F, Jorner K. Catalysing (organo-)catalysis: Trends in the application of machine learning to enantioselective organocatalysis. Beilstein J Org Chem 2024;20:2280-2304. [PMID: 39290209 PMCID: PMC11406055 DOI: 10.3762/bjoc.20.196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 08/09/2024] [Indexed: 09/19/2024]  Open
4
Cho Y, Laplaza R, Vela S, Corminboeuf C. Automated prediction of ground state spin for transition metal complexes. DIGITAL DISCOVERY 2024;3:1638-1647. [PMID: 39118977 PMCID: PMC11305380 DOI: 10.1039/d4dd00093e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 07/10/2024] [Indexed: 08/10/2024]
5
Reinhardt CR, Manetsch MT, Li WL, Román-Leshkov Y, Head-Gordon T, Kulik HJ. Computational Screening of Putative Catalyst Transition Metal Complexes as Guests in a Ga4L612- Nanocage. Inorg Chem 2024;63:14609-14622. [PMID: 39049593 DOI: 10.1021/acs.inorgchem.4c02113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
6
Jin H, Merz KM. Modeling Fe(II) Complexes Using Neural Networks. J Chem Theory Comput 2024;20:2551-2558. [PMID: 38439716 PMCID: PMC10976644 DOI: 10.1021/acs.jctc.4c00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/18/2024] [Accepted: 02/22/2024] [Indexed: 03/06/2024]
7
Edholm F, Nandy A, Reinhardt CR, Kastner DW, Kulik HJ. Protein3D: Enabling analysis and extraction of metal-containing sites from the Protein Data Bank with molSimplify. J Comput Chem 2024;45:352-361. [PMID: 37873926 DOI: 10.1002/jcc.27242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 10/25/2023]
8
Vennelakanti V, Kilic IB, Terrones GG, Duan C, Kulik HJ. Machine Learning Prediction of the Experimental Transition Temperature of Fe(II) Spin-Crossover Complexes. J Phys Chem A 2024;128:204-216. [PMID: 38148525 DOI: 10.1021/acs.jpca.3c07104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
9
Kevlishvili I, Duan C, Kulik HJ. Classification of Hemilabile Ligands Using Machine Learning. J Phys Chem Lett 2023:11100-11109. [PMID: 38051982 DOI: 10.1021/acs.jpclett.3c02828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
10
Yue S, Nandy A, Kulik HJ. Discovering Molecular Coordination Environment Trends for Selective Ion Binding to Molecular Complexes Using Machine Learning. J Phys Chem B 2023. [PMID: 38038675 DOI: 10.1021/acs.jpcb.3c06416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
11
Adamji H, Nandy A, Kevlishvili I, Román-Leshkov Y, Kulik HJ. Computational Discovery of Stable Metal-Organic Frameworks for Methane-to-Methanol Catalysis. J Am Chem Soc 2023. [PMID: 37339429 DOI: 10.1021/jacs.3c03351] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
12
Taylor MG, Burrill DJ, Janssen J, Batista ER, Perez D, Yang P. Architector for high-throughput cross-periodic table 3D complex building. Nat Commun 2023;14:2786. [PMID: 37188661 PMCID: PMC10185541 DOI: 10.1038/s41467-023-38169-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 04/18/2023] [Indexed: 05/17/2023]  Open
13
Morgante P, Peverati R. Comparison of the Performance of Density Functional Methods for the Description of Spin States and Binding Energies of Porphyrins. Molecules 2023;28:molecules28083487. [PMID: 37110720 PMCID: PMC10146789 DOI: 10.3390/molecules28083487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/10/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023]  Open
14
Lee Z, Lin PC, Yang T. Inverse design of ligands using a deep generative model semi‐supervised by a data‐driven ligand field strength metric. J CHIN CHEM SOC-TAIP 2023. [DOI: 10.1002/jccs.202300066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
15
Terrones GG, Duan C, Nandy A, Kulik HJ. Low-cost machine learning prediction of excited state properties of iridium-centered phosphors. Chem Sci 2023;14:1419-1433. [PMID: 36794185 PMCID: PMC9906783 DOI: 10.1039/d2sc06150c] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/05/2023] [Indexed: 01/07/2023]  Open
16
Duan C, Ladera AJ, Liu JCL, Taylor MG, Ariyarathna IR, Kulik HJ. Exploiting Ligand Additivity for Transferable Machine Learning of Multireference Character across Known Transition Metal Complex Ligands. J Chem Theory Comput 2022;18:4836-4845. [PMID: 35834742 DOI: 10.1021/acs.jctc.2c00468] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
17
Nandy A, Duan C, Kulik HJ. Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2021.100778] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
18
Bajaj A, Duan C, Nandy A, Taylor MG, Kulik HJ. Molecular orbital projectors in non-empirical jmDFT recover exact conditions in transition-metal chemistry. J Chem Phys 2022;156:184112. [DOI: 10.1063/5.0089460] [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
19
Nandy A, Terrones G, Arunachalam N, Duan C, Kastner DW, Kulik HJ. MOFSimplify, machine learning models with extracted stability data of three thousand metal-organic frameworks. Sci Data 2022;9:74. [PMID: 35277533 PMCID: PMC8917177 DOI: 10.1038/s41597-022-01181-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 01/17/2022] [Indexed: 11/09/2022]  Open
20
Rosen AS, Notestein JM, Snurr RQ. Realizing the data-driven, computational discovery of metal-organic framework catalysts. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2021.100760] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
21
Duan C, Nandy A, Kulik HJ. Machine Learning for the Discovery, Design, and Engineering of Materials. Annu Rev Chem Biomol Eng 2022;13:405-429. [PMID: 35320698 DOI: 10.1146/annurev-chembioeng-092320-120230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
22
Ren S, Fonseca E, Perry W, Cheng HP, Zhang XG, Hennig RG. Ligand Optimization of Exchange Interaction in Co(II) Dimer Single Molecule Magnet by Machine Learning. J Phys Chem A 2022;126:529-535. [PMID: 35068152 DOI: 10.1021/acs.jpca.1c08950] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
23
Harper DR, Nandy A, Arunachalam N, Duan C, Janet JP, Kulik HJ. Representations and strategies for transferable machine learning Improve model performance in chemical discovery. J Chem Phys 2022;156:074101. [DOI: 10.1063/5.0082964] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
24
Liu M, Nazemi A, Taylor MG, Nandy A, Duan C, Steeves AH, Kulik HJ. Large-Scale Screening Reveals That Geometric Structure Matters More Than Electronic Structure in the Bioinspired Catalyst Design of Formate Dehydrogenase Mimics. ACS Catal 2021. [DOI: 10.1021/acscatal.1c04624] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
25
Taylor MG, Nandy A, Lu CC, Kulik HJ. Deciphering Cryptic Behavior in Bimetallic Transition-Metal Complexes with Machine Learning. J Phys Chem Lett 2021;12:9812-9820. [PMID: 34597514 DOI: 10.1021/acs.jpclett.1c02852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
26
Duan C, Chen S, Taylor MG, Liu F, Kulik HJ. Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles. Chem Sci 2021;12:13021-13036. [PMID: 34745533 PMCID: PMC8513898 DOI: 10.1039/d1sc03701c] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/01/2021] [Indexed: 01/17/2023]  Open
27
Automated Construction and Optimization Combined with Machine Learning to Generate Pt(II) Methane C–H Activation Transition States. Top Catal 2021. [DOI: 10.1007/s11244-021-01506-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
28
Joyce JP, Portillo RI, Nite CM, Nite JM, Nguyen MP, Rappé AK, Shores MP. Electronic Structures of Cr(III) and V(II) Polypyridyl Systems: Undertones in an Isoelectronic Analogy. Inorg Chem 2021;60:12823-12834. [PMID: 34382400 DOI: 10.1021/acs.inorgchem.1c01129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
29
Westermayr J, Marquetand P. Machine Learning for Electronically Excited States of Molecules. Chem Rev 2021;121:9873-9926. [PMID: 33211478 PMCID: PMC8391943 DOI: 10.1021/acs.chemrev.0c00749] [Citation(s) in RCA: 176] [Impact Index Per Article: 58.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Indexed: 12/11/2022]
30
Nandy A, Duan C, Taylor MG, Liu F, Steeves AH, Kulik HJ. Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning. Chem Rev 2021;121:9927-10000. [PMID: 34260198 DOI: 10.1021/acs.chemrev.1c00347] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
31
Westermayr J, Marquetand P. Machine Learning for Electronically Excited States of Molecules. Chem Rev 2021. [PMID: 33211478 DOI: 10.1021/acs.chemrev.1020c00749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
32
Soyemi A, Szilvási T. Trends in computational molecular catalyst design. Dalton Trans 2021;50:10325-10339. [PMID: 34286781 DOI: 10.1039/d1dt01754c] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
33
Clauss R, Kazimir A, Straube A, Hey-Hawkins E. Palladium Goes First: A Neutral Asymmetric Heteroditopic N,P Ligand Forming Pd-3d Heterobimetallic Complexes. Inorg Chem 2021;60:8722-8733. [PMID: 34060826 DOI: 10.1021/acs.inorgchem.1c00694] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
34
McCarver GA, Rajeshkumar T, Vogiatzis KD. Computational catalysis for metal-organic frameworks: An overview. Coord Chem Rev 2021. [DOI: 10.1016/j.ccr.2021.213777] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
35
Kucheriv OI, Fritsky IO, Gural'skiy IA. Spin crossover in FeII cyanometallic frameworks. Inorganica Chim Acta 2021. [DOI: 10.1016/j.ica.2021.120303] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
36
Ferguson AL, Hachmann J, Miller TF, Pfaendtner J. The Journal of Physical Chemistry A/B/C Virtual Special Issue on Machine Learning in Physical Chemistry. J Phys Chem A 2021;124:9113-9118. [PMID: 33147969 DOI: 10.1021/acs.jpca.0c09205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
37
Bajaj A, Kulik HJ. Molecular DFT+U: A Transferable, Low-Cost Approach to Eliminate Delocalization Error. J Phys Chem Lett 2021;12:3633-3640. [PMID: 33826346 DOI: 10.1021/acs.jpclett.1c00796] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
38
Kulik HJ. What's Left for a Computational Chemist To Do in the Age of Machine Learning? Isr J Chem 2021. [DOI: 10.1002/ijch.202100016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
39
Ferguson AL, Hachmann J, Miller TF, Pfaendtner J. The Journal of Physical Chemistry A/B/C Virtual Special Issue on Machine Learning in Physical Chemistry. J Phys Chem B 2021;124:9767-9772. [PMID: 33147970 DOI: 10.1021/acs.jpcb.0c09206] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
40
Janet JP, Duan C, Nandy A, Liu F, Kulik HJ. Navigating Transition-Metal Chemical Space: Artificial Intelligence for First-Principles Design. Acc Chem Res 2021;54:532-545. [PMID: 33480674 DOI: 10.1021/acs.accounts.0c00686] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
41
Eckhoff M, Lausch KN, Blöchl PE, Behler J. Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels. J Chem Phys 2020;153:164107. [PMID: 33138439 DOI: 10.1063/5.0021452] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]  Open
42
Bahlke MP, Mogos N, Proppe J, Herrmann C. Exchange Spin Coupling from Gaussian Process Regression. J Phys Chem A 2020;124:8708-8723. [DOI: 10.1021/acs.jpca.0c05983] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
43
Nandy A, Chu DBK, Harper DR, Duan C, Arunachalam N, Cytter Y, Kulik HJ. Large-scale comparison of 3d and 4d transition metal complexes illuminates the reduced effect of exchange on second-row spin-state energetics. Phys Chem Chem Phys 2020;22:19326-19341. [DOI: 10.1039/d0cp02977g] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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