研究论文
A multi-subnets physics-informed neural network (Ms-PINN) model for transient heat transfer analysis in materials with heterogeneous microstructures
Chengcheng Shen, Haifeng Zhao, Jian Jiao
Chinese Academy of Sciences Technology and Engineering Center for Space Utilization University of Chinese Academy of Sciences Beijing Institute of Aeronautical Materials
来源Engineering With Computers
年份2025
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学术脉络
学科主题
物理Model Reduction and Neural Networks
Heat Transfer and Optimization · Heat Transfer Mechanisms
参考文献 37
An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment
被引 596Ronald L. Iman, J.C. Helton, J. E. Campbell · Journal of Quality Technology · 1981
Thermal conditions affecting heat transfer in FDM/FFE: a contribution towards the numerical modelling of the process
被引 191Sidonie F. Costa, Fernando Moura Duarte, José António Covas · Virtual and Physical Prototyping · 2014
Correlation between the elastic moduli and conductivity of two-dimensional isotropic two-phase composites
被引 11Haifeng Zhao, Gengkai Hu, Tian Jian Lu · International Journal of Fracture · 2004
此处列出前 3 条
引用本文 8
Self-adaptive physics-informed neural networks (SA-PINN) coupled with thermal network model (TNM) for cross-scale temperature field modeling of wet friction components
被引 23Jianpeng Wu, Peng Zhao, Wenya Shu · Tribology International · 2025
SDD-PINN: Physics-informed neural network for single droplet drying
被引 3Narjes Malekjani, Andreas Bück, Abdolreza Kharaghani · Digital Chemical Engineering · 2026
A Comparative Study of Stiffness-Matrix-Based Loss Functions for Displacement Prediction with PINNs
被引 0Hongyu Zhu, Xiangdong Shen, Xiping Li · Digital engineering. · 2026
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