Tianju Xue

According to our database, Tianju Xue authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Implicit differentiation with second-order derivatives and benchmarks in finite-element-based differentiable physics.

Tianju Xue

CoRR, May, 2025

DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification.

Weipeng Xu, Kaiqi Yang, Yuzhi Zhang, Shichao Sun, Sheng Mao, Tianju Xue

CoRR, April, 2025

2023

JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science.

Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao

Comput. Phys. Commun., October, 2023

More Stiffness with Less Fiber: End-to-End Fiber Path Optimization for 3D-Printed Composites.

Xingyuan Sun, Geoffrey Roeder, Tianju Xue, Ryan P. Adams, Szymon Rusinkiewicz

Proceedings of the 8th ACM Symposium on Computational Fabrication, 2023

2022

Hybrid full-field thermal characterization of additive manufacturing processes using physics-informed neural networks with data.

Shuheng Liao, Tianju Xue, Jihoon Jeong, Samantha Webster, Kornel F. Ehmann, Jian Cao

CoRR, 2022

Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks.

Tianju Xue, Sigrid Adriaenssens, Sheng Mao

CoRR, 2022

2021

A new finite element level set reinitialization method based on the shifted boundary method.

Tianju Xue, WaiChing Sun, Sigrid Adriaenssens, Yujie Wei, Chuanqi Liu

J. Comput. Phys., 2021

Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate.

Xingyuan Sun, Tianju Xue, Szymon Rusinkiewicz, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning Composable Energy Surrogates for PDE Order Reduction.

Alex Beatson, Jordan T. Ash, Geoffrey Roeder, Tianju Xue, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Amortized Finite Element Analysis for Fast PDE-Constrained Optimization.

Tianju Xue, Alex Beatson, Sigrid Adriaenssens, Ryan P. Adams

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

The successive node snapping scheme for an evolving branched curve in 2D and 3D.

Yang Wan, Tianju Xue, Yongxing Shen

Comput. Aided Des., 2019