Michele Ceriotti
Scholar

Michele Ceriotti

Google Scholar ID: exWw7d0AAAAJ
Professor at EPFL, Institute of Materials
Atomic-scale modelingMachine learningMaterials scienceStatistical mechanicsPhysical
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
17,092
 
H-index
62
 
i10-index
171
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
8 items
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
Representing spherical tensors with scalar-based machine-learning models
2025
Cited
0
PET-MAD, a universal interatomic potential for advanced materials modeling
2025
Cited
0
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
arXiv.org · 2024
Cited
1
Resume (English only)
Co-authors
0 total
Co-authors: 0 (list not available)