SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.5K citations · Full text

Artificial Intelligence, Mathematical Programming, Model Optimization +14

Matplotlib: A 2D Graphics Environment

John D. Hunter · Computing in Science & Engineering · 2007 · 37.2K citations

Geometric Modeling, Computer Graphic Technique, Visualization (Graphics) +8

Array programming with NumPy

Nature · 2020 · 20.4K citations · Full text

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Adam Paszke, Sam Gross, Francisco Massa et al. · arXiv (Cornell University) · 2019 · 16.2K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +15

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 · 14.4K citations · Full text

Engineering, Pde-constrained Optimization, Deep Learning Framework +6