Publications

2026

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    Large language model-empowered next-generation computer-aided engineering
    Jiachen Guo, Chanwook Park, Dong Qian, and 2 more authors
    Computer Methods in Applied Mechanics and Engineering, 2026
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  2. MultiLevel Variational MultiScale (ML-VMS) framework for large-scale simulation
    Lei Zhang, Jiachen Guo, Shaoqiang Tang, and 2 more authors
    Computer Methods in Applied Mechanics and Engineering, 2026
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2025

  1. Efficient Calibration Strategy for Crystal Plasticity Constitutive Law to Model Additively Manufactured Alloys
    Sourav Saha, Jiachen Guo, Chanwook Park, and 2 more authors
    Integrating Materials and Manufacturing Innovation, 2025
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    Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations
    Jiachen Guo, Gino Domel, Chanwook Park, and 8 more authors
    Computer Methods in Applied Mechanics and Engineering, 2025
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  3. A Convolutional Hierarchical Deep-learning Neural Network (C-HiDeNN) Framework for Non-linear Finite Element/Meshfree Analysis
    Yingjian Liu, Monish Yadav Pabbala, Jiachen Guo, and 4 more authors
    arXiv preprint arXiv:2509.02435, 2025
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    Interpolation Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
    Jiachen Guo, Xiaoyu Xie, Chanwook Park, and 4 more authors
    In International Conference on Machine Learning, 2025
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    Interpolating neural network: A novel unification of machine learning and interpolation theory
    Chanwook Park, Sourav Saha, Jiachen Guo, and 8 more authors
    Nature Communications, 2025
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2024

  1. Extended tensor decomposition model reduction methods: Training, prediction, and design under uncertainty
    Ye Lu, Satyajit Mojumder, Jiachen Guo, and 2 more authors
    Computer Methods in Applied Mechanics and Engineering, 2024
  2. Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration
    Chanwook Park, Sourav Saha, Jiachen Guo, and 8 more authors
    CoRR, 2024
  3. Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion process
    Yangfan Li, Satyajit Mojumder, Ye Lu, and 7 more authors
    Additive Manufacturing, 2024
  4. Building information extraction and earthquake damage prediction in an old urban area based on UAV oblique photogrammetry
    Yu Zhao, Bo Huang, Zhizhong Zhu, and 2 more authors
    Natural Hazards, 2024
  5. Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
    Jiachen Guo, Chanwook Park, Xiaoyu Xie, and 3 more authors
    In NeurIPS 2024 workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers, 2024

2023

  1. An introduction to kernel and operator learning methods for homogenization by self-consistent clustering analysis
    Owen Huang, Sourav Saha, Jiachen Guo, and 1 more author
    Computational Mechanics, 2023
  2. Convolution hierarchical deep-learning neural network tensor decomposition (C-HiDeNN-TD) for high-resolution topology optimization
    Hengyang Li, Stefan Knapik, Yangfan Li, and 7 more authors
    Computational Mechanics, 2023
  3. Deep Learning Discrete Calculus (DLDC): a family of discrete numerical methods by universal approximation for STEM education to frontier research
    Sourav Saha, Chanwook Park, Stefan Knapik, and 3 more authors
    Computational mechanics, 2023
  4. Convolution hierarchical deep-learning neural network (c-hidenn) with graphics processing unit (gpu) acceleration
    Chanwook Park, Ye Lu, Sourav Saha, and 6 more authors
    Computational Mechanics, 2023
  5. Dynamic centrifuge modeling of a shallow founded structure on layered soft clay considering the hard crust layer
    Jiachen Guo, Linfeng Cao, and Bo Huang
    In 10th International Conference on Physical Modelling in Geotechnics 2022, 2023
  6. Isogeometric convolution hierarchical deep-learning neural network: isogeometric analysis with versatile adaptivity
    Lei Zhang, Chanwook Park, Ye Lu, and 8 more authors
    Computer Methods in Applied Mechanics and Engineering, 2023
  7. Self-consistent Clustering Analysis-Based Moving Morphable Component (SMMC) Method for Multiscale Topology Optimization
    Yangfan Li, Jiachen Guo, Hengyang Li, and 1 more author
    Acta Mechanica Solida Sinica, 2023
  8. Statistical parameterized physics-based machine learning digital twin models for laser powder bed fusion process
    Yangfan Li, Satyajit Mojumder, Ye Lu, and 7 more authors
    arXiv preprint arXiv:2311.07821, 2023

2022

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    Data-driven discovery of dimensionless numbers and governing laws from scarce measurements
    Xiaoyu Xie, Arash Samaei, Jiachen Guo, and 2 more authors
    Nature communications, 2022
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2021

  1. Fragility analysis of RC frame structures subjected to obliquely incident seismic waves
    Bo Huang, Jiachen Guo, Kailong Liao, and 1 more author
    Sustainability, 2021

2019

  1. Experimental study on the permeability characteristic of fused quartz sand and mixed oil as a transparent soil
    Bo Huang, Chang Guo, Yao Tang, and 2 more authors
    Water, 2019