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For: Veit M, Jain SK, Bonakala S, Rudra I, Hohl D, Csányi G. Equation of State of Fluid Methane from First Principles with Machine Learning Potentials. J Chem Theory Comput 2019;15:2574-2586. [DOI: 10.1021/acs.jctc.8b01242] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Number Cited by Other Article(s)
1
Mészáros BB, Szabó A, Daru J. Short-Range Δ-Machine Learning: A Cost-Efficient Strategy to Transfer Chemical Accuracy to Condensed Phase Systems. J Chem Theory Comput 2025;21:5372-5381. [PMID: 40434991 DOI: 10.1021/acs.jctc.5c00367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2025]
2
Ji X, Li TE. Selective Excitation of IR-Inactive Modes via Vibrational Polaritons: Insights from Atomistic Simulations. J Phys Chem Lett 2025;16:5034-5042. [PMID: 40356572 DOI: 10.1021/acs.jpclett.5c00848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2025]
3
Gross E, Driver MD, Saif A, Evans ON, Hunter CA. Solvation energies from atomic surface site interaction points. Phys Chem Chem Phys 2025;27:8844-8855. [PMID: 40202218 DOI: 10.1039/d5cp00635j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2025]
4
Abedi M, Behler J, Goldsmith CF. High-Dimensional Neural Network Potentials for Accurate Prediction of Equation of State: A Case Study of Methane. J Chem Theory Comput 2023;19:7825-7832. [PMID: 37902963 DOI: 10.1021/acs.jctc.3c00469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
5
Thermodynamics of diamond formation from hydrocarbon mixtures in planets. Nat Commun 2023;14:1104. [PMID: 36843123 PMCID: PMC9968715 DOI: 10.1038/s41467-023-36841-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 02/15/2023] [Indexed: 02/28/2023]  Open
6
Sauceda HE, Gálvez-González LE, Chmiela S, Paz-Borbón LO, Müller KR, Tkatchenko A. BIGDML-Towards accurate quantum machine learning force fields for materials. Nat Commun 2022;13:3733. [PMID: 35768400 PMCID: PMC9243122 DOI: 10.1038/s41467-022-31093-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 06/01/2022] [Indexed: 12/16/2022]  Open
7
Graham RS, Wheatley RJ. Machine learning for non-additive intermolecular potentials: quantum chemistry to first-principles predictions. Chem Commun (Camb) 2022;58:6898-6901. [PMID: 35642644 DOI: 10.1039/d2cc01820a] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
8
Current Trends in Fluid Research in the Era of Artificial Intelligence: A Review. FLUIDS 2022. [DOI: 10.3390/fluids7030116] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
9
Deringer VL, Bartók AP, Bernstein N, Wilkins DM, Ceriotti M, Csányi G. Gaussian Process Regression for Materials and Molecules. Chem Rev 2021;121:10073-10141. [PMID: 34398616 PMCID: PMC8391963 DOI: 10.1021/acs.chemrev.1c00022] [Citation(s) in RCA: 324] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Indexed: 12/18/2022]
10
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: 198] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Indexed: 12/11/2022]
11
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]
12
Young TA, Johnston-Wood T, Deringer VL, Duarte F. A transferable active-learning strategy for reactive molecular force fields. Chem Sci 2021;12:10944-10955. [PMID: 34476072 PMCID: PMC8372546 DOI: 10.1039/d1sc01825f] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/04/2021] [Indexed: 11/25/2022]  Open
13
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: 183] [Impact Index Per Article: 45.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
14
Inguva PK, Walker PJ, Yew HW, Zhu K, Haslam AJ, Matar OK. Continuum-scale modelling of polymer blends using the Cahn-Hilliard equation: transport and thermodynamics. SOFT MATTER 2021;17:5645-5665. [PMID: 34095939 DOI: 10.1039/d1sm00272d] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
15
Laurens G, Rabary M, Lam J, Peláez D, Allouche AR. Infrared spectra of neutral polycyclic aromatic hydrocarbons based on machine learning potential energy surface and dipole mapping. Theor Chem Acc 2021. [DOI: 10.1007/s00214-021-02773-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
16
Musil F, Veit M, Goscinski A, Fraux G, Willatt MJ, Stricker M, Junge T, Ceriotti M. Efficient implementation of atom-density representations. J Chem Phys 2021;154:114109. [DOI: 10.1063/5.0044689] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
17
Allen AEA, Dusson G, Ortner C, Csányi G. Atomic permutationally invariant polynomials for fitting molecular force fields. MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1088/2632-2153/abd51e] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
18
Benoit M, Amodeo J, Combettes S, Khaled I, Roux A, Lam J. Measuring transferability issues in machine-learning force fields: the example of gold–iron interactions with linearized potentials. MACHINE LEARNING: SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1088/2632-2153/abc9fd] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]  Open
19
Grisafi A, Nigam J, Ceriotti M. Multi-scale approach for the prediction of atomic scale properties. Chem Sci 2020;12:2078-2090. [PMID: 34163971 PMCID: PMC8179303 DOI: 10.1039/d0sc04934d] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]  Open
20
Eriksen JJ. Mean-field density matrix decompositions. J Chem Phys 2020;153:214109. [PMID: 33291929 DOI: 10.1063/5.0030764] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]  Open
21
Xu P, Alkan M, Gordon MS. Many-Body Dispersion. Chem Rev 2020;120:12343-12356. [PMID: 33166127 DOI: 10.1021/acs.chemrev.0c00216] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
22
Riera M, Hirales A, Ghosh R, Paesani F. Data-Driven Many-Body Models with Chemical Accuracy for CH4/H2O Mixtures. J Phys Chem B 2020;124:11207-11221. [DOI: 10.1021/acs.jpcb.0c08728] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
23
Liu YB, Yang JY, Xin GM, Liu LH, Csányi G, Cao BY. Machine learning interatomic potential developed for molecular simulations on thermal properties of β-Ga2O3. J Chem Phys 2020;153:144501. [PMID: 33086840 DOI: 10.1063/5.0027643] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]  Open
24
Jablonka K, Ongari D, Moosavi SM, Smit B. Big-Data Science in Porous Materials: Materials Genomics and Machine Learning. Chem Rev 2020;120:8066-8129. [PMID: 32520531 PMCID: PMC7453404 DOI: 10.1021/acs.chemrev.0c00004] [Citation(s) in RCA: 176] [Impact Index Per Article: 35.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Indexed: 12/16/2022]
25
Gkeka P, Stoltz G, Barati Farimani A, Belkacemi Z, Ceriotti M, Chodera JD, Dinner AR, Ferguson AL, Maillet JB, Minoux H, Peter C, Pietrucci F, Silveira A, Tkatchenko A, Trstanova Z, Wiewiora R, Lelièvre T. Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems. J Chem Theory Comput 2020;16:4757-4775. [PMID: 32559068 PMCID: PMC8312194 DOI: 10.1021/acs.jctc.0c00355] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
26
Veit M, Wilkins DM, Yang Y, DiStasio RA, Ceriotti M. Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles. J Chem Phys 2020;153:024113. [DOI: 10.1063/5.0009106] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]  Open
27
Cheng Z, Zhao D, Ma J, Li W, Li S. An On-the-Fly Approach to Construct Generalized Energy-Based Fragmentation Machine Learning Force Fields of Complex Systems. J Phys Chem A 2020;124:5007-5014. [DOI: 10.1021/acs.jpca.0c04526] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
28
Neufeld VA, Thom AJW. Accelerating Convergence in Fock Space Quantum Monte Carlo Methods. J Chem Theory Comput 2020;16:1503-1510. [DOI: 10.1021/acs.jctc.9b01023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
29
Proppe J, Gugler S, Reiher M. Gaussian Process-Based Refinement of Dispersion Corrections. J Chem Theory Comput 2019;15:6046-6060. [PMID: 31603673 DOI: 10.1021/acs.jctc.9b00627] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
30
Kapil V, Wieme J, Vandenbrande S, Lamaire A, Van Speybroeck V, Ceriotti M. Modeling the Structural and Thermal Properties of Loaded Metal–Organic Frameworks. An Interplay of Quantum and Anharmonic Fluctuations. J Chem Theory Comput 2019;15:3237-3249. [DOI: 10.1021/acs.jctc.8b01297] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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