2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling
Honghui Du, QiZhi He
Differentiable programming has emerged as a powerful paradigm in scientific computing, enabling automatic differentiation through simulation pipelines and naturally supporting both…
cs.LG2025
History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials
Binyao Guo, Zihan Lin, QiZhi He
This study presents an end-to-end learning framework for data-driven modeling of path-dependent inelastic materials using neural operators. The framework is built on the premise th…
cs.LG2023★ 2 cited
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics
Honghui Du, QiZhi He
We present the neural-integrated meshfree (NIM) method, a differentiable programming-based hybrid meshfree approach within the field of computational mechanics. NIM seamlessly inte…