Mimetic Operators Library Enhanced
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Updated
May 31, 2024 - MATLAB
Mimetic Operators Library Enhanced
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
Taylor-mode automatic differentiation for higher-order derivatives
My personal development environment for Neovim
A library for scientific machine learning and physics-informed learning
Generalized and Personalized
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
🔍 finite element analysis for continuum mechanics of solid bodies
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
A Julia package to perform Bifurcation Analysis
Learning in infinite dimension with neural operators.
Get a symbolic approximation to a system of nonlinear partial differential equations in the form of a truncated Taylor series representation
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Solve non-linear HJB equations.
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
A comfortable and functional Neovim PDE with an eye pleasing UI, that aims to be simple to extend and modify.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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