Interested in how artificial intelligence can unlock scientific problems that were inaccessible up to now.
Working on generative models for the discovery of novel materials with desirable properties.
Senior Researcher @ AI4Science Microsoft Research (current)
Postdoctoral Researcher @ SISSA (previously)
Ph.D. Student @ King's College London (previously)
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MatterGen: a generative model for inorganic materials design
Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé, Lixin Sun, Jake Smith, Ryota Tomioka, Tian Xie
arXiv preprint arXiv:2312.03687 2 2023
Data-driven simulation and characterisation of gold nanoparticle melting
Claudio Zeni, Kevin Rossi, Theodore Pavloudis, Joseph Kioseoglou, Stefano de Gironcoli, Richard E Palmer, Francesca Baletto
Nature Communications 12 (1), 6056 31 2021
Exploring the robust extrapolation of high-dimensional machine learning potentials
Claudio Zeni, Andrea Anelli, Aldo Glielmo, Kevin Rossi
Physical Review B 105 (16), 165141 15 2022
Compact atomic descriptors enable accurate predictions via linear models
Claudio Zeni, Kevin Rossi, Aldo Glielmo, Stefano De Gironcoli
Journal of Chemical Physics 154 (22), 224112 15 2021
Efficient nonparametric n-body force fields from machine learning
Aldo Glielmo, Claudio Zeni, Alessandro De Vita
Physical Review B 97 (18), 184307 144 2018
Ranking the information content of distance measures
Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio
PNAS nexus 1 (2), pgac039 18 2022