YulieRu

PINN_harmonic_oscillator

This is a simple example of PINN training to simulate linear harmonic oscillator

Complete-flow-characterization-from-snapshot-PIV-fast-probes-and-physics-informed-neural-networks

Scripts of the article 'Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks'

deepxde

A library for scientific machine learning and physics-informed learning

Denoising-Autoencoder

GradientPathologiesPINNs

jaxpi

pinn_ode_tutorial

PINNs

PINNs_maziarraissi

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pykan

Kolmogorov Arnold Networks

YulieRu/Complete-flow-characterization-from-snapshot-PIV-fast-probes-and-physics-informed-neural-networks

Scripts of the article 'Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks'

YulieRu/jaxpi

YulieRu/PINN_harmonic_oscillator

This is a simple example of PINN training to simulate linear harmonic oscillator

YulieRu/pykan

Kolmogorov Arnold Networks

YulieRu/Denoising-Autoencoder

YulieRu/SparseT2V

Source code for SCOPE-1 paper "Flow reconstruction of single-phase planar jet from sparse temperature measurements"

YulieRu/deepxde

A library for scientific machine learning and physics-informed learning

YulieRu/relative_balancing

YulieRu/PINNs

YulieRu/pinn_ode_tutorial

YulieRu/GradientPathologiesPINNs

YulieRu/PINNs_maziarraissi

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations