Overview Frequency Principle/Spectral Bias in Deep Learning

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

NeRF

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Communications of the ACM · 2021 · 5.8K citations · Full text

Architecture, Visualization, Computer Vision +16

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Nature Machine Intelligence · 2021 · 2.8K citations · Full text

Computing, Computer Science, Mathematics +10

The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems

E Weinan, Bing Yu · Communications in Mathematics and Statistics · 2018 · 1.3K citations

Natural Sciences, Computer Science, Mathematics +13

D-NeRF: neural radiance fields for dynamic scenes

Albert Pumarola, Enric Corona, Gerard Pons‐Moll et al. · UPCommons institutional repository (Universitat Politècnica de Catalunya) · 2021 · 1.2K citations · Full text

Architecture, Vision Science, Computer Vision +16