physics-informed topic

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

pierremtb

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

cics-nd

Physics-Informed Neural networks for Advanced modeling

mathLab

TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).

pierremtb

Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".

xiaoyuxie-vico

Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid flow dynamics

JRice15