https://github.com/claudiozeni/claudiozeni.github.io

https://github.com/claudiozeni/claudiozeni.github.io

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• Host: GitHub
• URL: https://github.com/claudiozeni/claudiozeni.github.io
• Owner: ClaudioZeni
• Created: 2024-01-07T17:13:53.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-10T20:58:46.000Z (12 months ago)
• Last Synced: 2024-01-10T22:16:45.424Z (12 months ago)
• Size: 21.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
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.

## Work

Senior Researcher @ AI4Science Microsoft Research (current)

Postdoctoral Researcher @ SISSA (previously)

Ph.D. Student @ King's College London (previously)

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## Links

[Linkedin](https://www.linkedin.com/in/claudio-zeni/) | [Twitter/X](https://twitter.com/zany_cloud) | [Google Scholar](https://scholar.google.com/citations?user=QujxEwQAAAAJ&hl=en&oi=ao)

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## Selected Publications

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](https://arxiv.org/abs/2312.03687)

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](https://www.nature.com/articles/s41467-021-26199-7)

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](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.105.165141)

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](https://pubs.aip.org/aip/jcp/article/154/22/224112/313389)

Efficient nonparametric n-body force fields from machine learning\

*Aldo Glielmo, Claudio Zeni, Alessandro De Vita*\

[Physical Review B 97 (18), 184307	144	2018](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.97.184307)

Ranking the information content of distance measures\

*Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio*\

[PNAS nexus 1 (2), pgac039	18	2022](https://academic.oup.com/pnasnexus/article/1/2/pgac039/6568571)