Xiaoying Zhuang
- Phase field modeling and computer implementation: A review
2022/01/17 by Xiaoying Zhuang, X. Zhuang, S. Zhou +6 · 9 citations
Engineering · #Numerical methods in engineering #Fluid Dynamics Simulations and Interactions #Fatigue and fracture mechanics
- An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
2020/01/16 by Esteban Samaniego, E. Samaniego, Cosmin Anitescu +13 · 5 citations
Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Model Reduction and Neural Networks #Numerical methods in engineering
- Dual‐horizon peridynamics
2016/04/10 by Huilong Ren, Xiaoying Zhuang, Yongchang Cai +1 · 5 citations
Engineering · #Numerical methods in engineering #Electromagnetic Simulation and Numerical Methods #Geotechnical Engineering and Underground Structures
- Variational Physics-informed Neural Operator (VINO) for Solving Partial Differential Equations
2024/11/10 by Mohammad Sadegh Eshaghi, Cosmin Anitescu, Eshaghi, Mohammad Sadegh +9 · 8 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications
- Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
2025/02/02 by Yizheng Wang, Wang, Yizheng, Jinshuai Bai +11 · 7 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Influence of cyclic normal stress on shear friction of EGS granite fractures
2020/08/12 by Mao Sheng, Pu Li, Xiaoying Zhuang +1 · 1 citation
Engineering · #Rock Mechanics and Modeling #Geotechnical Engineering and Underground Structures #Geotechnical and Geomechanical Engineering
- Fracture modeling using meshless methods and level sets in 3D: Framework and modeling
2012/06/11 by X. Zhuang, Xiaoying Zhuang, C.E. Augarde +3 · 1 citation
Engineering · #Numerical methods in engineering #Rock Mechanics and Modeling #Geotechnical Engineering and Underground Structures
- Machine Learning‐Powered Optimization of a CHO Cell Cultivation Process
2025/01/31 by Jannik Richter, Qimin Wang, Ferdinand Lange +5 · 5 citations
Biochemistry, Genetics and Molecular Biology · #Viral Infectious Diseases and Gene Expression in Insects
- Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites
2022/06/01 by Bokai Liu, Nam Vu-Bac, Xiaoying Zhuang +2 · 1 citation
- Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach
2022/06/01 by Bokai Liu, Nam Vu-Bac, Xiaoying Zhuang +2 · 1 citation
- Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks
2025/02/11 by Yuan Guo, Guo, Yuan, Zhuojia Fu +11 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
- Hierarchical multiscale fracture modeling of carbon-nitride nanosheet reinforced composites by combining cohesive phase-field and molecular dynamics
2024/11/20 by Qinghua Zhang, Navid Valizadeh, Zhang, Qinghua +7 · 1 citation
Materials Science · Engineering · #Advanced ceramic materials synthesis #Mechanical Behavior of Composites #Aluminum Alloys Composites Properties
- FEVessel: Mesh-Independent Analysis of 3D Pressure Vessels with the Label-Free Pretrained Finite Element Method
2026/07/19 by Yipin Sun, Yizheng Wang, Yuzhou Lin +3
#math.NA #cs.NA