From Energy-Force Weighting to Primal-Dual Optimization of Machine-Learned Interatomic Potentials
Preprint · Under review, 2026
Corresponding author
Selected preprints and submitted manuscripts. Public versions are linked where available.
From Energy-Force Weighting to Primal-Dual Optimization of Machine-Learned Interatomic Potentials
Preprint · Under review, 2026
Corresponding author
Moment-Informed Force Rescaling for Random-Batch Langevin Dynamics
Preprint · Under review, 2026
Co-corresponding author
Preprint · Under review, 2026
Optimal Sobolev Approximation by Deterministic and Random Shallow Sigmoidal Networks
Preprint · Under review, 2026
Corresponding author
Autonomous Knowledge Distillation for an AI-Ready Knowledge Layer
Preprint · Under review, 2026
Co-first author
A Structure-Adaptive Random Feature Method for High-Dimensional Elliptic PDEs
Preprint · Under review, 2026
Corresponding author
Residual-Christoffel Sampling for Random Feature Collocation of Linear PDEs
Preprint · Under review, 2026
Corresponding author
Trainable Photonic Measurement for Physics-Informed PDE Learning
Preprint · Under review, 2026
Corresponding author
Random Feature Kalman Filtering for Linear PDE Data Assimilation
Preprint · Under review, 2026
Corresponding author
Liquid Random Feature Methods for Time-Dependent Partial Differential Equations
Preprint · Under review, 2026
Corresponding author
Local Surrogates for Harmonic Vibrational Entropy in Multilattices
Preprint · Under review, 2026
Corresponding author
Geometry-Preserving Nudged Elastic Band and Dimer Methods under Anisotropic Force Uncertainty
Preprint · Under review, 2026
Corresponding author
Preprint · Under review, 2026
Co-corresponding author
Preprint · Under review, 2026
Corresponding author
Flexible Boundary Sequential Coupling for Atomistic Simulation of Crystal Defects
Preprint, 2026
Co-first author
2D-ProteinRAG: Mitigating Intent-Context Misalignment in Homology-Based Protein Question Answering
Preprint · Under review, 2026
Preprint · Under review, 2026
Corresponding author
NanoTitan: An AI-Driven Memory-Efficient Platform for High-Performance Molecular Dynamics Simulation
Preprint, 2025
Preprint · Under review, 2026
Co-first author
A Study on the Fine-Tuning Performance of Universal Machine-Learned Interatomic Potentials (U-MLIPs)
Preprint, 2025
Corresponding author
Preprint, 2025
Co-corresponding author
Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion
Preprint, 2025
Mathematical Modeling of Materials at the Atomic Scale
Texts in Applied Mathematics, Springer Nature (under contract)
Some Progress on Multi-scale Methods in Materials Modeling
Shanghai Jiao Tong University, 2021