150 citations · 289 across the 6 of their papers we have counts for
6 papers
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science
Tianju Xue, Shuheng Liao, Zhengtao Gan +4
This paper introduces JAX-FEM, an open-source differentiable finite element method (FEM) library. Constructed on top of Google JAX, a rising machine learning library focusing on hi…
Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification
Shuheng Liao, Tianju Xue, Jihoon Jeong +3
Understanding the thermal behavior of additive manufacturing (AM) processes is crucial for enhancing the quality control and enabling customized process design. Most purely physics…
More Stiffness with Less Fiber: End-to-End Fiber Path Optimization for 3D-Printed Composites
Xingyuan Sun, Geoffrey Roeder, Tianju Xue +2
In 3D printing, stiff fibers (e.g., carbon fiber) can reinforce thermoplastic polymers with limited stiffness. However, existing commercial digital manufacturing software only prov…
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks
Tianju Xue, Sigrid Adriaenssens, Sheng Mao
The dynamics of soft mechanical metamaterials provides opportunities for many exciting engineering applications. Previous studies often use discrete systems, composed of rigid elem…
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun, Tianju Xue, Szymon Rusinkiewicz +1
In design, fabrication, and control problems, we are often faced with the task of synthesis, in which we must generate an object or configuration that satisfies a set of constraint…
Learning Composable Energy Surrogates for PDE Order Reduction
Alex Beatson, Jordan T. Ash, Geoffrey Roeder +2
Meta-materials are an important emerging class of engineered materials in which complex macroscopic behaviour--whether electromagnetic, thermal, or mechanical--arises from modular…