KindXiaoming / NNPhD-githubLinks
Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
☆15Updated 4 years ago
Alternatives and similar repositories for NNPhD-github
Users that are interested in NNPhD-github are comparing it to the libraries listed below
Sorting:
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 3 years ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- ☆10Updated 2 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated last week
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 7 months ago
- Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from …☆16Updated 4 months ago
- ☆32Updated last year
- A Python package for multipole expansions of electrostatic or gravitational potentials☆44Updated 10 months ago
- ☆28Updated 4 years ago
- PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl☆28Updated 5 months ago
- Compressible Euler equations solved with finite volume implemented in JAX, plugged into an optimization loop☆21Updated 5 months ago
- No need to train, he's a smooth operator☆45Updated 2 months ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Electrochemical reaction rate modeling and nonequilibrium phase maps (via AD)☆23Updated 2 years ago
- ☆21Updated 5 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆85Updated 4 years ago
- ☆17Updated 10 months ago
- ☆10Updated 5 years ago
- Differentiable interface to Firedrake for JAX☆15Updated 4 years ago
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆10Updated last week
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆21Updated 2 years ago
- Chemical Reaction Neural Network☆96Updated last month
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆25Updated this week