Tianju Xue

According to our database, Tianju Xue authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Sim-to-real diffusion models for microstructure prediction in metal additive manufacturing.

Ziyuan Xie, Zichuan Fu, Jingchi Zhang, Kaihao Zhang, Tianchen Zeng, Yu Wu, Shuheng Liao, Xiang Li, Tianju Xue

Eng. Comput., April, 2026

Physics-guided diffusion models for inverse design of disordered metamaterials.

Ziyuan Xie, Weipeng Xu, Dazhi Zhao, Wenchang Zhang, Daoyang Dong, Bingbing Xu, Ning Liu, Sheng Mao, Tianju Xue

CoRR, March, 2026

Lattice Discrete Particle Model (LDPM): Comparison of Various Time Integration Solvers and Implementations.

Erol Lale, Jan Eliás, Ke Yu, Matthew Troemner, Monika Stredulová, Julien Khoury, Tianju Xue, Ioannis Koutromanos, Alessandro Fascetti, Bahar Ayhan, Baixi Chen, Giovanni Di Luzio, Yuhui Lyu, Madura Pathirage, Gilles Pijaudier-Cabot, Lei Shen, Alessandro Tasora, Lifu Yang, Jiawei Zhong, Gianluca Cusatis

CoRR, March, 2026

Style-constrained inverse design of microstructures with tailored mechanical properties using unconditional diffusion models.

Weipeng Xu, Ziyuan Xie, Haoju Lin, Xinyu Wang, Guangjin Mou, Tianju Xue

CoRR, January, 2026

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

Tianju Xue

Comput. Phys. Commun., 2026

2025

Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale.

Linfeng Zhang, Siheng Chen, Yuzhu Cai, Jingyi Chai, Junhan Chang, Kun Chen, Zhi X. Chen, Zhaohan Ding, Yuwen Du, Yuanpeng Gao, Yuan Gao, Jing Gao, Zhifeng Gao, Qiangqiang Gu, Yanhui Hong, Yuan Huang, Xi Fang, Xiaohong Ji, Guolin Ke, Zixing Lei, Xinyu Li, Yongge Li, Ruoxue Liao, Hang Lin, Xiaolu Lin, Yuxiang Liu, Xinzijian Liu, Zexi Liu, Jintan Lu, Tingjia Miao, Haohui Que, Weijie Sun, Yanfeng Wang, Bingyang Wu, Tianju Xue, Rui Ye, Jinzhe Zeng, Duo Zhang, Jiahui Zhang, Linfeng Zhang, Tianhan Zhang, Wenchang Zhang, Yuzhi Zhang, Zezhong Zhang, Hang Zheng, Hui Zhou, Tong Zhu, Xinyu Zhu, Qingguo Zhou, Weinan E

CoRR, December, 2025

Solving contact problems using Fiber Monte Carlo.

Xinyu Wang, Weipeng Xu, Tianju Xue

CoRR, September, 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