A library for scientific machine learning and physics-informed learning
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Code for training and inferring acoustic wave propagation in 3D
Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
Nonlinear model reduction for operator learning
Benchmarking Surrogates for coupled ODE systems.
Source code of "Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields."
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