基本信息
浏览量:5
职业迁徙
个人简介
Fields of expertise
Atomistic computer simulations, statistical mechanics, machine learning, molecular dynamics, nuclear quantum effects, molecular materials, nucleation.
Biography
Michele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
Atomistic computer simulations, statistical mechanics, machine learning, molecular dynamics, nuclear quantum effects, molecular materials, nucleation.
Biography
Michele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.
研究兴趣
论文共 227 篇作者统计合作学者相似作者
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arxiv(2024)
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APL Machine Learningno. 1 (2024): 016110-016110-7
CHEMISTRY OF MATERIALSno. 3 (2024): 1482-1496
Seoin Back,Alan Aspuru-Guzik,Michele Ceriotti, Ganna Gryn'ova, Bartosz Grzybowski,Geun Ho Gu,Jason Hein,Kedar Hippalgaonkar, Rodrigo Hormazabal,Yousung Jung,Seonah Kim,Woo Youn Kim,
DIGITAL DISCOVERYno. 1 (2024): 23-33
arxiv(2024)
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arxiv(2023)
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