LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection
LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection. NeurIPS 2026 (accepted), 2026.
LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection. NeurIPS 2026 (accepted), 2026.
IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow. NeurIPS 2026 (accepted), 2026.
Higher Order Far-Field Boundary Conditions for Crystalline Defects. SIAM J. Numer. Anal., 63(2), 2025.
Flexible Uncertainty Calibration for Machine-Learned Interatomic Potentials. npj Comput. Mater., 2026.
Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications. J. Appl. Phys., 139:041101, 2026.
Elastic Far-field Decay from Dislocations in Multilattices. Multiscale Model. Simul., 21(4), 2023.
Efficient a Posteriori Error Control of a Consistent Atomistic/Continuum Coupling Method for Two Dimensional Crystalline Defects. J. Sci. Comput., 97:51, 2023.
An Atomic Cluster Expansion Potential for Twisted Multilayer Graphene. Mach. Learn.: Sci. Technol., 6:045040, 2025.
Amplitude Expansion Phase Field Crystal (APFC) Modeling based Efficient Dislocation Simulations using Fourier Pseudospectral Method. J. Sci. Comput., 108:57, 2026.
Adaptive QM/MM Coupling for Crystalline Defects. Comput. Methods Appl. Mech. Engrg., 354:351–368, 2019.