Scholar

Michele Ceriotti

Google Scholar ID: exWw7d0AAAAJ

Professor at EPFL, Institute of Materials

Atomic-scale modelingMachine learningMaterials scienceStatistical mechanicsPhysical

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Citations & Impact

All-time

Citations

17,092

H-index

62

i10-index

171

Publications

20

Co-authors

0

Publications

11 items

A strategic roadmap for an atomistic machine-learning ecosystem

2026

Cited

0

Truncated automatic sparse differentiation for machine learning interatomic potentials

2026

Cited

0

Using large language models to probe the limits of atom-centered structural descriptors

2026

Cited

0

How unconstrained machine-learning models learn physical symmetries

2026

Cited

0

Pushing the limits of unconstrained machine-learned interatomic potentials

2026

Cited

3

Comparing the latent features of universal machine-learning interatomic potentials

2025

Cited

0

Learning the action for long-time-step simulations of molecular dynamics

2025

Cited

0

FlashMD: long-stride, universal prediction of molecular dynamics

2025

Cited

0