Publications
2026
[33] E. Lale, J. Eliáš, K. Yu, M. Troemner, M. Středulová, J. Khoury, T. Xue, I. Koutromanos, A. Fascetti, B. Ayhan, B. Chen, G. Di Luzio, Y. Lyu, M. Pathirage, G. Pijaudier‐Cabot, L. Shen, A. Tasora, L. Yang, J. Zhong, G. Cusatis (2026) Lattice discrete particle model (LDPM): comparison of various time integration solvers and implementations, International Journal for Numerical and Analytical Methods in Geomechanics
[32] W. Xu, K. Yang, Y. Zhang, W. Zhang, S. Sun, S. Mao, T. Xue* (2026) DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification, Structural and Multidisciplinary Optimization
[31] Z. Xie, Z. Fu, J. Zhang, K. Zhang*, T. Zeng, Y. Wu*, S. Liao, X. Li, and T. Xue* (2026) Sim-to-real diffusion models for microstructure prediction in metal additive manufacturing, Engineering with Computers
[30] T. Xue* (2026) Implicit differentiation with second-order derivatives and benchmarks in finite-element-based differentiable physics, Computer Physics Communications
[29] W. Zhang, C. Liu, Y. Weng Hu, T. Xue*, J. Zhao (2026) A differentiable material point method solver for the modeling, simulation and analysis of extrusion-flow process for 3D concrete printing, Additive Manufacturing
[28] F. Hu, R. Zhou, K. Ryou, R. Zha, S. Niezgoda, T. Xue, J. Cao (2026) An Efficient Graphical Processing Unit-Accelerated Calibration of Crystal Plasticity Model Parameters by Multi-Objective Optimization With Automatic Differentiation-Based Sensitivities, Journal of Applied Mechanics
2025
[27] N. Liu, T. Xue, J. Qiu (2025) Multi-scale modeling of hydrogel-based concrete formed under the ambient environment and the extremely harsh environment of Mars, Journal of the Mechanics and Physics of Solids
[26] F. Hu, S. Niezgoda, T. Xue, J. Cao (2025) Efficient GPU-computing simulation platform JAX-CPFEM for differentiable crystal plasticity finite element method, npj Computational Materials
[25] D. Quispe, D. Kozjeka, M. Mozaffara, T. Xue, J. Cao (2025) AI-enabled manufacturing processdiscovery, PNAS Nexus
2024
[24] J. Cao, M. Bambach, M. Merklein, M. Mozaffar, T. Xue (2024) Artificial intelligence in metal forming, CIRP Annals
[23] S. Liao, T. Xue, J. Cao (2024) Deep learning based reconstruction of transient 3D melt pool geometries in laser powder bed fusion from coaxial melt pool images, Manufacturing Letters
[22] X. Wu, T. Xue*, S. Mao (2024) G-code Net: Learning-based rational design and optimization for additively manufactured structures, MRS Communications
[21] J. Choi, T. Xue*, S. Liao, J. Cao (2024) Accelerating phase-field simulation of three-dimensional microstructure evolution in laser powder bed fusion with composable machine learning predictions, Additive Manufacturing
2023
[20] X. Sun, G. Roeder, T. Xue, R. P. Adams, S. Rusinkiewicz (2023) More Stiffness with Less Fiber: End-to-End Fiber Path Optimization for 3D-Printed Composites, Proceedings of the 8th ACM Symposium on Computational Fabrication
[19] J. Shao, A. Samaei, T. Xue, X. Xie, S. Guo, J. Cao, E. MacDonald, Z. Gan (2023) Additive friction stir deposition of metallic materials: process, structure and properties, Materials & Design
Before HKUST
[18] T. Xue, S. Liao, Z. Gan, C. Park, X. Xie, W. K. Liu, J. Cao (2023) JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science, Computer Physics Communications
[17] C. Park, Y. Lu, S. Saha, T. Xue, J. Guo, S. Mojumder, D. W.Apley, G. J. Wagner, W. K. Liu (2023) Convolution Hierarchical Deep-learning Neural Network (C-HiDeNN) with Graphics Processing Unit (GPU) Acceleration, Computational Mechanics
[16] S. Liao, J. Jeong, R. Zha, T. Xue, J. Cao (2023) Simulation-guided feedforward-feedback control of melt pool temperature in directed energy deposition, CIRP Annals
[15] S. Liao, T. Xue, J. Jeong, S. Webster, K. Ehmann, J. Cao (2023) Hybrid full-field thermal characterization of additive manufacturing processes using physics-informed neural networks with data, Computational Mechanics
[14] M. Mozaffar, S. Liao, J. Jeong, T. Xue, J. Cao (2023) Differentiable simulation for material thermal response design in additive manufacturing processes, Additive Manufacturing
[13] T. Xue, S. Adriaenssens, S. Mao (2023) Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks, International Journal of Mechanical Sciences
[12] T. Xue, Z. Gan, S. Liao, J. Cao (2022) Physics-embedded graph network for accelerating phase-field simulation of microstructure evolution in additive manufacturing, npj Computational Materials
[11] T. Xue, S. Mao (2022) Mapped shape optimization method for rational design of cellular mechanical metamaterials under large deformation, International Journal for Numerical Methods in Engineering
[10] X. Sun, T. Xue, S. M. Rusinkiewicz, R. P. Adams (2021) Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate, NeurIPS
[9] T. Xue, S. Adriaenssens, S. Mao (2021) Mapped phase field method for brittle fracture, Computer Methods in Applied Mechanics and Engineering
[8] T. Xue, W. C. Sun, S. Adriaenssens, Y. Wei, C. Liu (2021) A new finite element level set reinitialization method based on the shifted boundary method, Journal of Computational Physics
[7] A. Beatson, J. T. Ash, G. Roeder, T. Xue, R. P. Adams (2020) Learning Composable Energy Surrogates for PDE Order Reduction, NeurIPS
[6] T. Xue*, T. J. Wallin, Y. Menguc, S. Adriaenssens, M. Chiaramonte (2020) Machine learning generative models for automatic design of multi-material 3D printed composite solids, Extreme Mechanics Letters
[5] T. Xue, A. Beatson, S. Adriaenssens, R. P. Adams (2020) Amortized Finite Element Analysis for Fast PDE-Constrained Optimization, ICML
[4] T. Xue*, A. Beatson, M. Chiaramonte, G. Roeder, J. T. Ash, Y. Menguc, S. Adriaenssens, R. P. Adams, S. Mao (2020) A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation, Soft Matter
[3] Y. Wan, T. Xue, Y. Shen (2019) The successive node snapping scheme for an evolving branched curve in 2D and 3D, Computer-Aided Design
[2] Y. Wan, T. Xue, Y. Shen (2019) The successive node snapping scheme: A method to obtain conforming meshes for an evolving curve in 2D and 3D, Finite Elements in Analysis and Design
[1] M. Ma, T. Xue, S. Chen, Y. Guo, Y. Chen, H. Liu (2017) Features of structural relaxation in diblock copolymers, Polymer Testing