A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

SciPy 1.0: fundamental algorithms for scientific computing in Python

Nature Methods · 2020 · 37.9K citations · Full text

Computing, Computer Science, Algorithms +5

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

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Computing, Computer Science, Artificial Intelligence +11

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

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Natural Sciences, Computer Science, Physics +16

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

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Computing, Computer Engineering, Computer Science +13

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

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