Person

Michele Ceriotti

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.

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https://people.epfl.ch/michele.ceriotti

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Michele Ceriotti

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Exploring the Design Space of Machine Learning Models for Quantum Chemistry with a Fully Differentiable Framework

A Deep Learning Model for Chemical Shieldings in Molecular Organic Solids Including Anisotropy

Adaptive energy reference for machine-learning models of the electronic density of states

Exploring the Design Space of Machine Learning Models for Quantum Chemistry with a Fully Differentiable Framework

A Deep Learning Model for Chemical Shieldings in Molecular Organic Solids Including Anisotropy

Adaptive energy reference for machine-learning models of the electronic density of states