neurocomputing letpub，二区，5.7 1.Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations

neural computing and application letpub，二区，5.6

Applied Soft Computing letpub 收录： 1.A physics-aware learning architecture with input transfer networks for predictive modeling 2.Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations，2009

knowledge-based systems letpub 收录：没有相关PINN以及NN for PDE

Engineering Applications of Artificial Intelligence letpub ，期刊查询，IF=6.212 收录： 1.A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications 2.State–space modeling for control based on physics-informed neural networks A physics-informed deep learning approach for bearing fault detection A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network

IEEE Transactions on Artificial Intelligence

Journal of Computational Physics 力学里非常有影响力的期刊，收录了较多PINN以及NN for PDE论文