A Theoretical Case Study of the Generalisation of Machine-learned Potentials
A Theoretical Case Study of the Generalisation of Machine-learned Potentials. Comput. Methods Appl. Mech. Engrg., 422:116831, 2024.
A Theoretical Case Study of the Generalisation of Machine-learned Potentials. Comput. Methods Appl. Mech. Engrg., 422:116831, 2024.
A Priori Analysis of a Higher Order Nonlinear Elasticity Model for an Atomistic Chain with Periodic Boundary Condition. IMA J. Numer. Anal., 41(2):1465–1495, 2021.
A Posteriori Error Estimates for Adaptive QM/MM Coupling Methods. SIAM J. Sci. Comput., 43:A2785–A2808, 2021.
A Posteriori Error Estimate and Adaptivity for QM/MM Models of Crystalline Defects. Comput. Methods Appl. Mech. Engrg., 428:117097, 2024.
A Posteriori Analysis and Adaptive Algorithms for Blended Type Atomistic-to-Continuum Coupling with Higher-Order Finite Elements. Comput. Phys. Commun., 310:109533, 2025.
A Framework for a Generalisation Analysis of Machine-learned Interatomic Potentials. Multiscale Model. Simul., 21:1053–1080, 2023.
A Foundation Model for Atomistic Materials Chemistry. J. Chem. Phys., 163:184110, 2025.
A Conformal Prediction Framework for Uncertainty Quantification in Physics-Informed Neural Networks. J. Comput. Phys., 114979, 2026.