Chiheb Ben Mahmoud

collaborators

3 papers

cond-mat.mtrl-sci2025

Machine learning model for efficient nonthermal tuning of the charge density wave in monolayer NbSe $_{2}$

Luka BeniÄ, Federico Grasselli, Chiheb Ben Mahmoud +2

Understanding and controlling the charge density wave (CDW) phase diagram of transition metal dichalcogenides is a long-studied problem in condensed matter physics. However, due to…

physics.chem-ph2025

Assessing zero-shot generalisation behaviour in graph-neural-network interatomic potentials

Chiheb Ben Mahmoud, Zakariya El-Machachi, Krystian A. Gierczak +2

With the rapidly growing availability of machine-learned interatomic potential (MLIP) models for chemistry, much current research focuses on the development of generally applicable…

cond-mat.mtrl-sci2024

Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition

Chiheb Ben Mahmoud, Louise A. M. Rosset, Jonathan R. Yates +1

Nuclear magnetic resonance (NMR) is a powerful spectroscopic technique that is sensitive to the local atomic structure of matter. Computational predictions of NMR parameters can he…

Machine learning model for efficient nonthermal tuning of the charge density wave in monolayer NbSe2​

Assessing zero-shot generalisation behaviour in graph-neural-network interatomic potentials

Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition

Machine learning model for efficient nonthermal tuning of the charge density wave in monolayer NbSe $_{2}$