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Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
Somdatta Goswami, Cosmin Anitescu, Souvik Chakraborty, Timon Rabczuk
Bauhaus-Universität Weimar University of Notre Dame University of British Columbia University of British Columbia, Okanagan Campus
来源Theoretical and Applied Fracture Mechanics
年份2019
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Model Reduction and Neural Networks · Neural Networks and Applications
参考文献 39
Isogeometric analysis toward integration of CAD and FEA
被引 2,371J. Austin Cottrell, Thomas J.R. Hughes, Yuri Bazilevs · 2009
Understanding the difficulty of training deep feedforward neural networks
被引 12,459Xavier Glorot, Yoshua Bengio · 2010
此处列出前 3 条
引用本文 910
Physics-informed machine learning
被引 8,310George Em Karniadakis, Ioannis G. Kevrekidis, Lu Lu · Nature Reviews Physics · 2021
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
被引 2,780Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo · Journal of Scientific Computing · 2022
Physics-informed neural networks (PINNs) for fluid mechanics: a review
被引 2,089Shengze Cai, Zhiping Mao, Zhicheng Wang · Acta Mechanica Sinica · 2021
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