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Introduction: Machine Learning at the Atomic Scale.
Ceriotti M, Clementi C, Anatole von Lilienfeld O. Ceriotti M, et al. Chem Rev. 2021 Aug 25;121(16):9719-9721. doi: 10.1021/acs.chemrev.1c00598. Chem Rev. 2021. PMID: 34428897 No abstract available.
2021 JCP Emerging Investigator Special Collection.
Ceriotti M, Jensen L, Manolopoulos DE, Martinez T, Reichman DR, Sciortino F, Sherrill CD, Shi Q, Vega C, Wang LS, Weiss EA, Zhu X, Stein J, Lian T. Ceriotti M, et al. J Chem Phys. 2023 Feb 14;158(6):060401. doi: 10.1063/5.0143234. J Chem Phys. 2023. PMID: 36792492 No abstract available.
Recognizing Local and Global Structural Motifs at the Atomic Scale.
Gasparotto P, Meißner RH, Ceriotti M. Gasparotto P, et al. Among authors: ceriotti m. J Chem Theory Comput. 2018 Feb 13;14(2):486-498. doi: 10.1021/acs.jctc.7b00993. Epub 2018 Jan 25. J Chem Theory Comput. 2018. PMID: 29298385 Free article.
Atom-density representations for machine learning.
Willatt MJ, Musil F, Ceriotti M. Willatt MJ, et al. Among authors: ceriotti m. J Chem Phys. 2019 Apr 21;150(15):154110. doi: 10.1063/1.5090481. J Chem Phys. 2019. PMID: 31005079
Machine learning meets chemical physics.
Ceriotti M, Clementi C, Anatole von Lilienfeld O. Ceriotti M, et al. J Chem Phys. 2021 Apr 28;154(16):160401. doi: 10.1063/5.0051418. J Chem Phys. 2021. PMID: 33940847
143 results