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For: Stuke A, Todorović M, Rupp M, Kunkel C, Ghosh K, Himanen L, Rinke P. Chemical diversity in molecular orbital energy predictions with kernel ridge regression. J Chem Phys 2019;150:204121. [DOI: 10.1063/1.5086105] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]  Open
Number Cited by Other Article(s)
1
Seppäläinen L, Björklund A, Besel V, Puolamäki K. Using slisemap to interpret physical data. PLoS One 2024;19:e0297714. [PMID: 38271355 PMCID: PMC10810528 DOI: 10.1371/journal.pone.0297714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/10/2024] [Indexed: 01/27/2024]  Open
2
Zhang S, He X, Xia X, Xiao P, Wu Q, Zheng F, Lu Q. Machine-Learning-Enabled Framework in Engineering Plastics Discovery: A Case Study of Designing Polyimides with Desired Glass-Transition Temperature. ACS APPLIED MATERIALS & INTERFACES 2023;15:37893-37902. [PMID: 37490394 DOI: 10.1021/acsami.3c05376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
3
Besel V, Todorović M, Kurtén T, Rinke P, Vehkamäki H. Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules. Sci Data 2023;10:450. [PMID: 37438370 DOI: 10.1038/s41597-023-02366-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/05/2023] [Indexed: 07/14/2023]  Open
4
Chen K, Kunkel C, Cheng B, Reuter K, Margraf JT. Physics-inspired machine learning of localized intensive properties. Chem Sci 2023;14:4913-4922. [PMID: 37181767 PMCID: PMC10171074 DOI: 10.1039/d3sc00841j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/10/2023] [Indexed: 05/16/2023]  Open
5
An Integrated Method of Bayesian Optimization and D-Optimal Design for Chemical Experiment Optimization. Processes (Basel) 2022. [DOI: 10.3390/pr11010087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]  Open
6
Bhat V, Sornberger P, Pokuri BSS, Duke R, Ganapathysubramanian B, Risko C. Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches. Chem Sci 2022;14:203-213. [PMID: 36605753 PMCID: PMC9769113 DOI: 10.1039/d2sc04676h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 11/16/2022] [Indexed: 11/18/2022]  Open
7
Mazouin B, Schöpfer AA, von Lilienfeld OA. Selected machine learning of HOMO-LUMO gaps with improved data-efficiency. MATERIALS ADVANCES 2022;3:8306-8316. [PMID: 36561279 PMCID: PMC9662596 DOI: 10.1039/d2ma00742h] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/12/2022] [Indexed: 06/17/2023]
8
Sun Q, Xiang Y, Liu Y, Xu L, Leng T, Ye Y, Fortunelli A, Goddard WA, Cheng T. Machine Learning Predicts the X-ray Photoelectron Spectroscopy of the Solid Electrolyte Interface of Lithium Metal Battery. J Phys Chem Lett 2022;13:8047-8054. [PMID: 35994432 DOI: 10.1021/acs.jpclett.2c02222] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
9
Sajjan M, Li J, Selvarajan R, Sureshbabu SH, Kale SS, Gupta R, Singh V, Kais S. Quantum machine learning for chemistry and physics. Chem Soc Rev 2022;51:6475-6573. [PMID: 35849066 DOI: 10.1039/d2cs00203e] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
10
Golze D, Hirvensalo M, Hernández-León P, Aarva A, Etula J, Susi T, Rinke P, Laurila T, Caro MA. Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW. CHEMISTRY OF MATERIALS : A PUBLICATION OF THE AMERICAN CHEMICAL SOCIETY 2022;34:6240-6254. [PMID: 35910537 PMCID: PMC9330771 DOI: 10.1021/acs.chemmater.1c04279] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 06/30/2022] [Indexed: 06/15/2023]
11
G S V, V S H. Prediction of Bus Passenger Traffic using Gaussian Process Regression. JOURNAL OF SIGNAL PROCESSING SYSTEMS 2022;95:281-292. [PMID: 35692285 PMCID: PMC9166211 DOI: 10.1007/s11265-022-01774-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 04/28/2022] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
12
Rankine CD, Penfold TJ. Accurate, affordable, and generalizable machine learning simulations of transition metal x-ray absorption spectra using the XANESNET deep neural network. J Chem Phys 2022;156:164102. [PMID: 35490005 DOI: 10.1063/5.0087255] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]  Open
13
Herzog B, Chagas da Silva M, Casier B, Badawi M, Pascale F, Bučko T, Lebègue S, Rocca D. Assessing the Accuracy of Machine Learning Thermodynamic Perturbation Theory: Density Functional Theory and Beyond. J Chem Theory Comput 2022;18:1382-1394. [PMID: 35191699 DOI: 10.1021/acs.jctc.1c01034] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
14
Gallegos M, Guevara-Vela JM, Pendás ÁM. NNAIMQ: A neural network model for predicting QTAIM charges. J Chem Phys 2022;156:014112. [PMID: 34998318 DOI: 10.1063/5.0076896] [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]  Open
15
Tsubaki M, Mizoguchi T. Quantum Deep Descriptor: Physically Informed Transfer Learning from Small Molecules to Polymers. J Chem Theory Comput 2021;17:7814-7821. [PMID: 34846893 DOI: 10.1021/acs.jctc.1c00568] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
16
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: 162] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Indexed: 12/11/2022]
17
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]
18
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]
19
Westermayr J, Maurer RJ. Physically inspired deep learning of molecular excitations and photoemission spectra. Chem Sci 2021;12:10755-10764. [PMID: 34447563 PMCID: PMC8372319 DOI: 10.1039/d1sc01542g] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 06/29/2021] [Indexed: 12/29/2022]  Open
20
Musil F, Grisafi A, Bartók AP, Ortner C, Csányi G, Ceriotti M. Physics-Inspired Structural Representations for Molecules and Materials. Chem Rev 2021;121:9759-9815. [PMID: 34310133 DOI: 10.1021/acs.chemrev.1c00021] [Citation(s) in RCA: 135] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
21
Stuke A, Rinke P, Todorović M. Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization. MACHINE LEARNING: SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1088/2632-2153/abee59] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]  Open
22
Molecular excited states through a machine learning lens. Nat Rev Chem 2021;5:388-405. [PMID: 37118026 DOI: 10.1038/s41570-021-00278-1] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2021] [Indexed: 12/12/2022]
23
Rahaman O, Gagliardi A. Deep Learning Total Energies and Orbital Energies of Large Organic Molecules Using Hybridization of Molecular Fingerprints. J Chem Inf Model 2020;60:5971-5983. [PMID: 33118351 DOI: 10.1021/acs.jcim.0c00687] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
24
Pinheiro GA, Mucelini J, Soares MD, Prati RC, Da Silva JLF, Quiles MG. Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset. J Phys Chem A 2020;124:9854-9866. [DOI: 10.1021/acs.jpca.0c05969] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
25
Stocker S, Csányi G, Reuter K, Margraf JT. Machine learning in chemical reaction space. Nat Commun 2020;11:5505. [PMID: 33127879 PMCID: PMC7603480 DOI: 10.1038/s41467-020-19267-x] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 10/01/2020] [Indexed: 12/29/2022]  Open
26
Saraceni N, Cantori S, Pilati S. Scalable neural networks for the efficient learning of disordered quantum systems. Phys Rev E 2020;102:033301. [PMID: 33075937 DOI: 10.1103/physreve.102.033301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/11/2020] [Indexed: 12/20/2022]
27
Westermayr J, Marquetand P. Machine learning and excited-state molecular dynamics. MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1088/2632-2153/ab9c3e] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
28
Low K, Kobayashi R, Izgorodina EI. The effect of descriptor choice in machine learning models for ionic liquid melting point prediction. J Chem Phys 2020;153:104101. [DOI: 10.1063/5.0016289] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]  Open
29
Stuke A, Kunkel C, Golze D, Todorović M, Margraf JT, Reuter K, Rinke P, Oberhofer H. Atomic structures and orbital energies of 61,489 crystal-forming organic molecules. Sci Data 2020;7:58. [PMID: 32071311 PMCID: PMC7029047 DOI: 10.1038/s41597-020-0385-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 01/21/2020] [Indexed: 12/14/2022]  Open
30
Jung H, Stocker S, Kunkel C, Oberhofer H, Han B, Reuter K, Margraf JT. Size‐Extensive Molecular Machine Learning with Global Representations. CHEMSYSTEMSCHEM 2020. [DOI: 10.1002/syst.201900052] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
31
Himanen L, Geurts A, Foster AS, Rinke P. Data-Driven Materials Science: Status, Challenges, and Perspectives. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019;6:1900808. [PMID: 31728276 PMCID: PMC6839624 DOI: 10.1002/advs.201900808] [Citation(s) in RCA: 141] [Impact Index Per Article: 28.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 06/20/2019] [Indexed: 05/06/2023]
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