Crack propagation simulation and overload fatigue life prediction via enhanced physics-informed neural networks

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

A Critical Analysis of Crack Propagation Laws

Paul C. Paris, F. Erdoğan · Journal of Basic Engineering · 1963 · 7K citations

Engineering, Materials Engineering, Mechanical Behavior Of Materials +16

A finite element method for crack growth without remeshing

Nicolas Mo�s, John E. Dolbow, Ted Belytschko · International Journal for Numerical Methods in Engineering · 1999 · 6.2K citations · Full text

Engineering, Computational Engineering, Mechanical Engineering +17

On the Crack Extension in Plates Under Plane Loading and Transverse Shear

F. Erdoğan, G. C. Sih · Journal of Basic Engineering · 1963 · 4.8K citations

Engineering, Materials Engineering, Materials Science +17

Automatic differentiation in machine learning: a survey

Atılım Güneş Baydin, Barak A. Pearlmutter, Alexey Radul et al. · Maynooth University ePrints and eTheses Archive (Maynooth University) · 2015 · 2.1K citations · Full text

Computing, Computer Science, Derivatives +10