hongkangcarl / spherical-PDE-solverLinks
Numerical program to solve PDEs on a spherical surface by a spectral methods using spherical harmonics.
☆94Updated last year
Alternatives and similar repositories for spherical-PDE-solver
Users that are interested in spherical-PDE-solver are comparing it to the libraries listed below
Sorting:
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated this week
- Patched Attention for Nonlinear Dynamics☆167Updated last month
- Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers,…☆92Updated last week
- A compact, high-performance finite element analysis engine built on JAX.☆65Updated this week
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆434Updated last week
- Example problems in Physics informed neural network in JAX☆81Updated 2 years ago
- A lightweight framework for building Physics-Informed Neural Networks (PINNs) with symbolic PDE definitions using SymPy and automatic dif…☆68Updated 4 months ago
- Bootcamp notebooks☆62Updated 5 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆77Updated 3 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆93Updated 2 weeks ago
- ☆212Updated 2 months ago
- Introductory workshop on PINNs using the harmonic oscillator☆142Updated 2 months ago
- Python interface for libROM, library for reduced order models☆63Updated 5 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- Official repository of the PICT Solver☆43Updated 3 months ago
- Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff☆14Updated 8 months ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆60Updated 5 years ago
- This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH join…☆25Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated this week
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 9 months ago
- ☆55Updated 2 years ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆77Updated 2 years ago
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆307Updated 2 months ago
- A curated list of awesome Physics Informed Neural Network, projects and communities.☆38Updated 2 months ago
- Playing around with Phyiscs-Informed Neural Networks☆99Updated 6 months ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆96Updated 2 months ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆37Updated last week
- Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning☆130Updated 3 years ago
- ☆181Updated last month