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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2003 1
2004 3
2005 4
2006 7
2007 6
2008 4
2009 2
2010 2
2011 5
2012 1
2013 4
2014 2
2015 4
2016 1
2017 6
2018 9
2019 6
2020 8
2021 9
2022 3
2023 10
2024 0

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92 results

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Page 1
Introduction: Machine Learning at the Atomic Scale.
Ceriotti M, Clementi C, Anatole von Lilienfeld O. Ceriotti M, et al. Among authors: clementi c. Chem Rev. 2021 Aug 25;121(16):9719-9721. doi: 10.1021/acs.chemrev.1c00598. Chem Rev. 2021. PMID: 34428897 No abstract available.
Machine learning for protein folding and dynamics.
Noé F, De Fabritiis G, Clementi C. Noé F, et al. Among authors: clementi c. Curr Opin Struct Biol. 2020 Feb;60:77-84. doi: 10.1016/j.sbi.2019.12.005. Epub 2019 Dec 24. Curr Opin Struct Biol. 2020. PMID: 31881449 Review.
Fast track to structural biology.
Clementi C. Clementi C. Nat Chem. 2021 Nov;13(11):1032-1034. doi: 10.1038/s41557-021-00814-y. Nat Chem. 2021. PMID: 34707232 No abstract available.
Quantum dynamics using path integral coarse-graining.
Musil F, Zaporozhets I, Noé F, Clementi C, Kapil V. Musil F, et al. Among authors: clementi c. J Chem Phys. 2022 Nov 14;157(18):181102. doi: 10.1063/5.0120386. J Chem Phys. 2022. PMID: 36379765
Machine learned coarse-grained protein force-fields: Are we there yet?
Durumeric AEP, Charron NE, Templeton C, Musil F, Bonneau K, Pasos-Trejo AS, Chen Y, Kelkar A, Noé F, Clementi C. Durumeric AEP, et al. Among authors: clementi c. Curr Opin Struct Biol. 2023 Apr;79:102533. doi: 10.1016/j.sbi.2023.102533. Epub 2023 Jan 31. Curr Opin Struct Biol. 2023. PMID: 36731338 Review.
Machine Learning for Molecular Simulation.
Noé F, Tkatchenko A, Müller KR, Clementi C. Noé F, et al. Among authors: clementi c. Annu Rev Phys Chem. 2020 Apr 20;71:361-390. doi: 10.1146/annurev-physchem-042018-052331. Epub 2020 Feb 24. Annu Rev Phys Chem. 2020. PMID: 32092281
Machine learning meets chemical physics.
Ceriotti M, Clementi C, Anatole von Lilienfeld O. Ceriotti M, et al. Among authors: clementi c. J Chem Phys. 2021 Apr 28;154(16):160401. doi: 10.1063/5.0051418. J Chem Phys. 2021. PMID: 33940847
Surveying biomolecular frustration at atomic resolution.
Chen M, Chen X, Schafer NP, Clementi C, Komives EA, Ferreiro DU, Wolynes PG. Chen M, et al. Among authors: clementi c. Nat Commun. 2020 Nov 23;11(1):5944. doi: 10.1038/s41467-020-19560-9. Nat Commun. 2020. PMID: 33230150 Free PMC article.
Unsupervised Learning Methods for Molecular Simulation Data.
Glielmo A, Husic BE, Rodriguez A, Clementi C, Noé F, Laio A. Glielmo A, et al. Among authors: clementi c. Chem Rev. 2021 Aug 25;121(16):9722-9758. doi: 10.1021/acs.chemrev.0c01195. Epub 2021 May 4. Chem Rev. 2021. PMID: 33945269 Free PMC article.
Machine learning coarse-grained potentials of protein thermodynamics.
Majewski M, Pérez A, Thölke P, Doerr S, Charron NE, Giorgino T, Husic BE, Clementi C, Noé F, De Fabritiis G. Majewski M, et al. Among authors: clementi c. Nat Commun. 2023 Sep 15;14(1):5739. doi: 10.1038/s41467-023-41343-1. Nat Commun. 2023. PMID: 37714883 Free PMC article.
92 results