PaperresearchFeaturedVerified
DeepONet: Learning Nonlinear Operators
Foundational paper introducing DeepONet, with branch and trunk subnetworks for learning nonlinear operators from data.
Learning field
Scientific Machine Learning
PINNs, neural operators and scientific computing.
Curated learning
Resources
Showing 3 of 3 resources
Section
Other Resources
DocumentationadvancedFeaturedVerified
DeepXDE Documentation
Official documentation and examples for physics-informed neural networks, DeepONets, multifidelity models and differential-equation solvers.
CourseadvancedFeaturedVerified
Scientific Machine Learning
Hands-on scientific machine learning workshop covering multilayer perceptrons, physics-informed neural networks and DeepONet operator learning with reproducible notebooks.