Michele Ceriotti
About
Michele Ceriotti has authored 185 papers that have received a total of 10.8k indexed citations.
This includes 115 papers in Materials Chemistry, 71 papers in Atomic and Molecular Physics, and Optics and 54 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning in Materials Science (80 papers), Computational Drug Discovery Methods (52 papers) and Spectroscopy and Quantum Chemical Studies (41 papers). Michele Ceriotti is often cited by papers focused on Machine Learning in Materials Science (80 papers), Computational Drug Discovery Methods (52 papers) and Spectroscopy and Quantum Chemical Studies (41 papers) and collaborates with scholars based in Switzerland, United Kingdom and United States. Michele Ceriotti's co-authors include Michele Parrinello, Bingqing Cheng, David M. Wilkins, David E. Manolopoulos and Venkat Kapil and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences
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