Portrait de Michel Côté

Michel Côté

Membre académique associé
Université de Montréal
Sujets de recherche
Modélisation moléculaire
Physique computationnelle
Physique de la matière condensée
Google Scholar

Étudiants actuels

Azin Kazemi Moridani
Doctorat - UdeM
Olivier Nadeau
Postdoctorat - UdeM
Dounia Shaaban Kabakibo
Doctorat - UdeM
Co-superviseur⋅e :
Alex Hernández-García
Github
Google Scholar
Surya Prasad Timilsina
Doctorat - UdeM
Google Scholar

Publications

A Comparative Study of Molecular Dynamics Approaches for Simulating Ionic Conductivity in Solid Lithium Electrolytes
Dounia Shaaban Kabakibo
Félix Therrien
Yoshua Bengio
Michel Côté
Hongyu Guo
Homin Shin
Alex Hernández-García
Accurate prediction of ionic conductivity is critical for the design of highperformance solid-state electrolytes in next-generation batterie… (voir plus)s. We benchmark molecular dynamics (MD) approaches for computing ionic conductivity in 21 lithium solid electrolytes for which experimental ionic conductivity has been previously reported in the literature. Specifically, we compare simulations driven by density functional theory (DFT) and by universal machine-learning interatomic potentials (uMLIPs), namely a MACE foundation model. Our results suggest comparable performance between DFT and MACE, with MACE requiring only a fraction of the computational cost. The framework developed here is designed to enable systematic comparisons with additional uMLIPs and fine-tuned models in future work.
2026-03-01
AI4Mat @ International Conference on Learning Representations (poster)
openreview.net
openreview.net