Publications
2026
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A convolutional hierarchical deep-learning neural network (C-HiDeNN) framework for non-linear finite element analysisEngineering with Computers, 2026 -
Large language model-empowered next-generation computer-aided engineeringComputer Methods in Applied Mechanics and Engineering, 2026 -
Geometry-Preserving Reduced-Order Modeling via Immersed Tensor Decomposition (ITD)Computer Methods in Applied Mechanics and Engineering, 2026* Equal contribution (co-first authors) -
MultiLevel Variational MultiScale (ML-VMS) framework for large-scale simulationComputer Methods in Applied Mechanics and Engineering, 2026 -
Multiscale self-consistent cluster modeling of porosity evolution in additive manufactured metals post-processed by ultrasonic nanocrystal surface modificationJournal of Manufacturing Processes, 2026 -
CM-GAI: Continuum Mechanistic Generative Artificial Intelligence Theory for Data DynamicsarXiv preprint arXiv:2601.20462, 2026 -
Bayesian Interpolating Neural Network (B-INN): a scalable and reliable Bayesian model for large-scale physical systemsarXiv preprint arXiv:2601.22860, 2026 -
Laser Powder Bed Fusion Melt Pool Dynamics for Different Geometric Variations and Powder Layer Heights: High-Fidelity Multiphysics Modeling vs 2025 NIST ExperimentsarXiv preprint arXiv:2604.07359, 2026 -
Interpolating Neural Operator (INO): A Data-Free and Efficient Approach for Learning PDE Solution OperatorsarXiv preprint arXiv:2609.36701, 2026
2025
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Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulationsComputer Methods in Applied Mechanics and Engineering, 2025 -
Efficient GPU-computing simulation platform JAX-PF for differentiable phase field modelarXiv preprint arXiv:2601.06079, 2025
2024
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Extended tensor decomposition model reduction methods: Training, prediction, and design under uncertaintyComputer Methods in Applied Mechanics and Engineering, 2024 -
Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion processAdditive Manufacturing, 2024 -
Building information extraction and earthquake damage prediction in an old urban area based on UAV oblique photogrammetryNatural Hazards, 2024 -
Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systemsIn NeurIPS 2024 workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers, 2024
2023
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An introduction to kernel and operator learning methods for homogenization by self-consistent clustering analysisComputational Mechanics, 2023 -
Convolution hierarchical deep-learning neural network tensor decomposition (C-HiDeNN-TD) for high-resolution topology optimizationComputational Mechanics, 2023 -
Deep Learning Discrete Calculus (DLDC): a family of discrete numerical methods by universal approximation for STEM education to frontier researchComputational mechanics, 2023 -
Convolution hierarchical deep-learning neural network (c-hidenn) with graphics processing unit (gpu) accelerationComputational Mechanics, 2023 -
Dynamic centrifuge modeling of a shallow founded structure on layered soft clay considering the hard crust layerIn 10th International Conference on Physical Modelling in Geotechnics 2022, 2023 -
Isogeometric convolution hierarchical deep-learning neural network: isogeometric analysis with versatile adaptivityComputer Methods in Applied Mechanics and Engineering, 2023 -
Self-consistent Clustering Analysis-Based Moving Morphable Component (SMMC) Method for Multiscale Topology OptimizationActa Mechanica Solida Sinica, 2023 -
Statistical parameterized physics-based machine learning digital twin models for laser powder bed fusion processarXiv preprint arXiv:2311.07821, 2023
2022
2021
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Fragility analysis of RC frame structures subjected to obliquely incident seismic wavesSustainability, 2021
2019
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Experimental study on the permeability characteristic of fused quartz sand and mixed oil as a transparent soilWater, 2019