A Phantom-Node Method with Edge-Based Strain Smoothing for Linear Elastic Fracture Mechanics. - Nam Vu-Bac; Hung Nguyen-Xuan 001; Lei Chen; Changkye Lee; Goangseup Zi; Xiaoying Zhuang; Gui Rong Liu; Timon Rabczuk (J. Appl. Math., 2013)

A software framework for probabilistic sensitivity analysis for computationally expensive models. - Nam Vu-Bac; Tom Lahmer; Xiaoying Zhuang; Trung Nguyen-Thoi; Timon Rabczuk (Adv. Eng. Softw., 2016)

A softening-healing law for self-healing quasi-brittle materials: analyzing with Strong Discontinuity embedded Approach. - Yiming Zhang; Xiaoying Zhuang (CoRR, 2017)

Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies. - Shuwei Zhou; Timon Rabczuk; Xiaoying Zhuang (Adv. Eng. Softw., 2018)

A Virtual Element Method for 2D linear elastic fracture analysis. - Vien Minh Nguyen-Thanh; Xiaoying Zhuang; Hung Nguyen-Xuan 001; Timon Rabczuk; Peter Wriggers (CoRR, 2018)

A NURBS-based Inverse Analysis for Reconstruction of Nonlinear Deformations of Thin Shell Structures. - Nam Vu-Bac; Thang X. Duong; Tom Lahmer; Xiaoying Zhuang; Roger Andrew Sauer; H. S. Parke; Timon Rabczuk (CoRR, 2019)

An extended polygonal finite element method for large deformation fracture analysis. - Hai D. Huynh; Phuong Tran; Xiaoying Zhuang; Hung Nguyen-Xuan 001 (CoRR, 2019)

A surrogate model for computational homogenization of elastostatics at finite strain using the HDMR-based neural network approximator. - Vien Minh Nguyen-Thanh; Lu Trong Khiem Nguyen; Timon Rabczuk; Xiaoying Zhuang (CoRR, 2019)

An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications. - Esteban Samaniego; Cosmin Anitescu; Somdatta Goswami; Vien Minh Nguyen-Thanh; Hongwei Guo; Khader Hamdia; Timon Rabczuk; Xiaoying Zhuang (CoRR, 2019)

Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction. - Chuong Nguyen; Xiaoying Zhuang; Ludovic Chamoin; Hung Nguyen-Xuan 001; Xianzhong Zhao; Timon Rabczuk (CoRR, 2019)

A meshfree formulation for large deformation analysis of flexoelectric structures accounting for the surface effects. - Xiaoying Zhuang; S. S. Nanthakumar; Timon Rabczuk (CoRR, 2019)

DigiSim - An Open Source Software Package for Heterogeneous Material Modeling Based on Digital Image Processing. - Qing-Xiang Meng; Wei-Ya Xu; Huan-Ling Wang; Xiaoying Zhuang; Wei-Chau Xie; Timon Rabczuk (Adv. Eng. Softw., 2020)

A micropolar peridynamics model with non-unified horizon for damage of solids with different non-local effects. - Yiming Zhang; Xueqing Yang; Xiaoying Zhuang (CoRR, 2020)

Integrated intelligent Jaya Runge-Kutta method for solving Falkner-Skan equations for Various Wedge Angles. - Hongwei Guo; Xiaoying Zhuang; Xiaoyu Meng; Timon Rabczuk (CoRR, 2020)

Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates. - Xiaoying Zhuang; Hongwei Guo; Naif Alajlan; Timon Rabczuk (CoRR, 2020)

Analysis of three dimensional potential problems in non-homogeneous media with deep learning based collocation method. - Hongwei Guo; Xiaoying Zhuang; Xiaoyu Meng; Timon Rabczuk (CoRR, 2020)

Stochastic groundwater flow analysis in heterogeneous aquifer with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning. - Hongwei Guo; Xiaoying Zhuang; Dawei Liang; Timon Rabczuk (CoRR, 2020)

Nonlocal operator method for the Cahn-Hilliard phase field model. - Huilong Ren; Xiaoying Zhuang; Trung Nguyen-Thoi; Timon Rabczuk (Commun. Nonlinear Sci. Numer. Simul., 2021)

A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate. - Hongwei Guo; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2021)

Multigoal-oriented dual-weighted-residual error estimation using deep neural networks. - Ayan Chakraborty 003; Thomas Wick; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2021)

Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution. - Bohayra Mortazavi; Evgeny V. Podryabinkin; Ivan S. Novikov; Timon Rabczuk; Xiaoying Zhuang; Alexander V. Shapeev (Comput. Phys. Commun., 2021)

An efficient optimization approach for designing machine learning models based on genetic algorithm. - Khader Hamdia; Xiaoying Zhuang; Timon Rabczuk (Neural Comput. Appl., 2021)

Variational energy based XPINNs for phase field analysis in brittle fracture. - Ayan Chakraborty 003; Cosmin Anitescu; Somdatta Goswami; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2022)

Domain adaptation based transfer learning approach for solving PDEs on complex geometries. - Ayan Chakraborty 003; Cosmin Anitescu; Xiaoying Zhuang; Timon Rabczuk (Eng. Comput., 2022)

Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media. - Hongwei Guo; Xiaoying Zhuang; Pengwan Chen; Naif Alajlan; Timon Rabczuk (Eng. Comput., 2022)

Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis. - Hongwei Guo; Xiaoying Zhuang; Pengwan Chen; Naif Alajlan; Timon Rabczuk (Eng. Comput., 2022)

Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning. - Hongwei Guo; Xiaoying Zhuang; Naif Alajlan; Timon Rabczuk (Comput. Math. Appl., 2023)

Ductile fracture modeling by phase field, Hencky strain elasticity and finite J2 plasticity using nonlocal operator method. - Huilong Ren; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2023)

Elasto-plastic large deformation analysis of multi-patch thin shells by isogeometric approach. - Giang Huynh; Xiaoying Zhuang; Hoang-Giang Bui; Günther Meschke; Hung Nguyen-Xuan 001 (CoRR, 2023)

On the hydraulic fracturing in naturally-layered porous media using the phase field method. - Xiaoying Zhuang; Shuwei Zhou; Mao Sheng; Gensheng Li (CoRR, 2023)

Phase field modeling of brittle compressive-shear fractures in rock-like materials: A new driving force and a hybrid formulation. - Shuwei Zhou; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2023)

Phase-field modeling of fluid-driven dynamic cracking in porous media. - Shuwei Zhou; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2023)

Polytopal composite finite elements for modeling concrete fracture based on nonlocal damage models. - Hai D. Huynh; S. Natarajan 002; Hung Nguyen-Xuan 001; Xiaoying Zhuang (CoRR, 2023)

Phase field method for quasi-static hydro-fracture in porous media under stress boundary condition considering the effect of initial stress field. - Shuwei Zhou; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2023)

Second-order computational homogenization of flexoelectric composites. - Xiaoying Zhuang; Bin Li; S. S. Nanthakumar; Thomas Bohlke (CoRR, 2023)

Al-DeMat: A web-based expert system platform for computationally expensive models in materials design. - Bokai Liu; Nam Vu-Bac; Xiaoying Zhuang; Weizhuo Lu; Xiaolong Fu; Timon Rabczuk (Adv. Eng. Softw., 2023)

Editorial: Computational modeling based on nonlocal theory. - Timon Rabczuk; Xiaoying Zhuang; Erkan Oterkus (Eng. Comput., 2023)

Nonlocal strong forms of thin plate, gradient elasticity, magneto-electro-elasticity and phase-field fracture by nonlocal operator method. - Huilong Ren; Xiaoying Zhuang; Erkan Oterkus; HeHua Zhu; Timon Rabczuk (Eng. Comput., 2023)

A CNN-based surrogate model of isogeometric analysis in nonlocal flexoelectric problems. - Qimin Wang; Xiaoying Zhuang (Eng. Comput., 2023)

Three-dimensional phase field feature of longitudinal hydraulic fracture propagation in naturally layered rocks under stress boundaries. - Xiaoying Zhuang; Xinyi Li; Shuwei Zhou (Eng. Comput., 2023)

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks. - Yizheng Wang; Jia Sun; Jinshuai Bai; Cosmin Anitescu; Mohammad Sadegh Eshaghi; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams. - Mohammad Sadegh Eshaghi; Mostafa Bamdad; Cosmin Anitescu; Yizheng Wang; Xiaoying Zhuang; Timon Rabczuk (CoRR, 2024)

Artificial intelligence for partial differential equations in computational mechanics: A review. - Yizheng Wang; Jinshuai Bai; Zhongya Lin; Qimin Wang; Cosmin Anitescu; Jia Sun; Mohammad Sadegh Eshaghi; Yuantong Gu; Xi-Qiao Feng; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Improving single image localization through domain adaptation and large kernel attention with synthetic data. - Dansheng Yao; Hehua Zhu; Bangke Ren; Xiaoying Zhuang (Eng. Appl. Artif. Intell., 2024)

Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation. - Huangxin Chen; Yuxiang Chen; Jisheng Kou; Shuyu Sun 003; Dunhui Xiao; Xuejun Xu; Haitao Yu; Tao Zhang; Xiaoying Zhuang (ICCS (3), 2025)

An open-source LS-DYNA implementation of the variational damage model. - Ya Duan; Xiaoying Zhuang; Huilong Ren; Timon Rabczuk (Adv. Eng. Softw., 2025)

Machine learning for transmission spectra prediction on gradient seismic metastructure. - Yilin Rao; Liangshu He; Yabin Jin; HeHua Zhu; Timon Rabczuk; Xiaoying Zhuang (Comput. Phys. Commun., 2025)

Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks. - Yuan Guo; Zhuojia Fu; Jian Min; Shiyu Lin; Xiaoting Liu; Youssef F. Rashed; Xiaoying Zhuang (Neural Networks, 2025)

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. - Yizheng Wang; Jinshuai Bai; Mohammad Sadegh Eshaghi; Cosmin Anitescu; Xiaoying Zhuang; Timon Rabczuk; Yinghua Liu (CoRR, 2025)