Publication

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.

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Yangshuai Wang
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A Priori Analysis of a Higher Order Nonlinear Elasticity Model for an Atomistic Chain with Periodic Boundary Condition

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.

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Yangshuai Wang
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A Posteriori Error Estimates for Adaptive QM/MM Coupling Methods

A Posteriori Error Estimates for Adaptive QM/MM Coupling Methods. SIAM J. Sci. Comput., 43:A2785–A2808, 2021.

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Yangshuai Wang
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A Posteriori Error Estimate and Adaptivity for QM/MM Models of Crystalline Defects

A Posteriori Error Estimate and Adaptivity for QM/MM Models of Crystalline Defects. Comput. Methods Appl. Mech. Engrg., 428:117097, 2024.

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Yangshuai Wang
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A Posteriori Analysis and Adaptive Algorithms for Blended Type Atomistic-to-Continuum Coupling with Higher-Order Finite Elements

A Posteriori Analysis and Adaptive Algorithms for Blended Type Atomistic-to-Continuum Coupling with Higher-Order Finite Elements. Comput. Phys. Commun., 310:109533, 2025.

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Yangshuai Wang
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A Framework for a Generalisation Analysis of Machine-learned Interatomic Potentials

A Framework for a Generalisation Analysis of Machine-learned Interatomic Potentials. Multiscale Model. Simul., 21:1053–1080, 2023.

christoph-ortner
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A Foundation Model for Atomistic Materials Chemistry

A Foundation Model for Atomistic Materials Chemistry. J. Chem. Phys., 163:184110, 2025.

ilyes-batatia
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A Conformal Prediction Framework for Uncertainty Quantification in Physics-Informed Neural Networks

A Conformal Prediction Framework for Uncertainty Quantification in Physics-Informed Neural Networks. J. Comput. Phys., 114979, 2026.

yifan-yu
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