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Xiong Xiong

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@xgxgnpu

🎓 Northwestern Polytechnical University (NPU) | Physics-Informed Deep Learning & AI4PDE

J-PIKAN. Jacobian Orthogonal Polynomial-based Physics-Informed Kolmogorov-Arnold Network for fluid dynamics

13

PINNpapers. Must-read Papers on Physics-Informed Neural Networks.

3

Neural-PDE-Solver. 综述-深度学习和pde

1

PIDOC. Physics-Informed Deep Operator Control (PIDOC), a deep learning method for controlling nonlinear chaos

1

LearningToLearn. Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

1

Pytorch_FNN_ResNet. Jupyter Notebook

1

PSO-PINN. Physics-Informed Neural Networks Trained with Particle Swarm Optimization

1

PINN_control. Jupyter Notebook

1

finitevolume-python. Finite Volume simulation of the Kelvin-Helmholtz Instability

1

GradientPathologiesPINNs. Python

1

PINNacle. Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

1

--dcem-Pytorch. The Differentiable Cross-Entropy Method

1

PyDMD. Python Dynamic Mode Decomposition

1

awesome-chatgpt-prompts. This repo includes ChatGPT prompt curation to use ChatGPT better.

1

autoreg-pde-diffusion. Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

1

heat-pinn. A Physics-Informed Neural Network to solve 2D steady-state heat equation.

1