Xiaoying Zhuang
Orcid: 0000-0001-6562-2618
According to our database1,
Xiaoying Zhuang
authored at least 50 papers
between 2013 and 2025.
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Bibliography
2025
Physics-Informed Kolmogorov-Arnold Networks for multi-material elasticity problems in electronic packaging.
CoRR, August, 2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation.
CoRR, February, 2025
Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks.
Neural Networks, 2025
Machine learning for transmission spectra prediction on gradient seismic metastructure.
Comput. Phys. Commun., 2025
Adv. Eng. Softw., 2025
Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation.
Proceedings of the Computational Science - ICCS 2025, 2025
2024
Improving single image localization through domain adaptation and large kernel attention with synthetic data.
Eng. Appl. Artif. Intell., 2024
Artificial intelligence for partial differential equations in computational mechanics: A review.
CoRR, 2024
CoRR, 2024
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks.
CoRR, 2024
2023
Three-dimensional phase field feature of longitudinal hydraulic fracture propagation in naturally layered rocks under stress boundaries.
Eng. Comput., February, 2023
A CNN-based surrogate model of isogeometric analysis in nonlocal flexoelectric problems.
Eng. Comput., February, 2023
Nonlocal strong forms of thin plate, gradient elasticity, magneto-electro-elasticity and phase-field fracture by nonlocal operator method.
Eng. Comput., February, 2023
Eng. Comput., February, 2023
Al-DeMat: A web-based expert system platform for computationally expensive models in materials design.
Adv. Eng. Softw., February, 2023
Phase field method for quasi-static hydro-fracture in porous media under stress boundary condition considering the effect of initial stress field.
CoRR, 2023
Polytopal composite finite elements for modeling concrete fracture based on nonlocal damage models.
CoRR, 2023
Phase field modeling of brittle compressive-shear fractures in rock-like materials: A new driving force and a hybrid formulation.
CoRR, 2023
On the hydraulic fracturing in naturally-layered porous media using the phase field method.
CoRR, 2023
Elasto-plastic large deformation analysis of multi-patch thin shells by isogeometric approach.
CoRR, 2023
Ductile fracture modeling by phase field, Hencky strain elasticity and finite J2 plasticity using nonlocal operator method.
CoRR, 2023
Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning.
Comput. Math. Appl., 2023
2022
Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis.
Eng. Comput., 2022
Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media.
Eng. Comput., 2022
Domain adaptation based transfer learning approach for solving PDEs on complex geometries.
Eng. Comput., 2022
CoRR, 2022
2021
An efficient optimization approach for designing machine learning models based on genetic algorithm.
Neural Comput. Appl., 2021
Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution.
Comput. Phys. Commun., 2021
Multigoal-oriented dual-weighted-residual error estimation using deep neural networks.
CoRR, 2021
Commun. Nonlinear Sci. Numer. Simul., 2021
2020
Stochastic groundwater flow analysis in heterogeneous aquifer with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning.
CoRR, 2020
Analysis of three dimensional potential problems in non-homogeneous media with deep learning based collocation method.
CoRR, 2020
Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates.
CoRR, 2020
Integrated intelligent Jaya Runge-Kutta method for solving Falkner-Skan equations for Various Wedge Angles.
CoRR, 2020
A micropolar peridynamics model with non-unified horizon for damage of solids with different non-local effects.
CoRR, 2020
DigiSim - An Open Source Software Package for Heterogeneous Material Modeling Based on Digital Image Processing.
Adv. Eng. Softw., 2020
2019
A meshfree formulation for large deformation analysis of flexoelectric structures accounting for the surface effects.
CoRR, 2019
Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction.
CoRR, 2019
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications.
CoRR, 2019
A surrogate model for computational homogenization of elastostatics at finite strain using the HDMR-based neural network approximator.
CoRR, 2019
CoRR, 2019
A NURBS-based Inverse Analysis for Reconstruction of Nonlinear Deformations of Thin Shell Structures.
CoRR, 2019
2018
Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies.
Adv. Eng. Softw., 2018
2017
A softening-healing law for self-healing quasi-brittle materials: analyzing with Strong Discontinuity embedded Approach.
CoRR, 2017
2016
A software framework for probabilistic sensitivity analysis for computationally expensive models.
Adv. Eng. Softw., 2016
2013
A Phantom-Node Method with Edge-Based Strain Smoothing for Linear Elastic Fracture Mechanics.
J. Appl. Math., 2013