pdes

There are 6 repositories under pdes topic.

gridap / Gridap.jl
Grid-based approximation of partial differential equations in Julia
julia pdes partial-differential-equations finite-elements numerical-methods gridap
Language:Julia 742
zwicker-group / py-pde
Python package for solving partial differential equations using finite differences.
python partial-differential-equations dynamical-systems pdes scientific-computing finite-difference-method
Language:Python 431
levimcclenny / SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
adaptive-pinns neural-network pdes stiff-pdes scientific-computing sciml physics-informed-learning pinns deep-learning neural-networks tensorflow
Language:Python 210
FourierFlows / GeophysicalFlows.jl
Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
qg quasigeostrophy pdes sqg baroclinic geophysical-fluid-dynamics fourierflows navier-stokes julia gpu
Language:Julia 157
camlab-ethz / poseidon
Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
foundation-models operators pdes scientific-computing scientific-machine-learning
Language:Python 135
gridap / Tutorials
Start solving PDEs in Julia with Gridap.jl
gridap tutorials pdes julia
Language:Julia 130
ROSS-org / ROSS
Rensselaer's Optimistic Simulation System
c discrete-event-simulation parallel-distributed-computing pdes simulation simulation-framework
Language:C 94
nrpytutorial
zachetienne / nrpytutorial
NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!
automatic code generation bssn hyperbolic pdes python sympy numerical relativity general adm codegen nrpy jupyter-notebook tutorial reference-metric
Language:Jupyter Notebook 93
skoohy / GPT-PINN
Generative Pre-Trained Physics-Informed Neural Networks Implementation
allen-cahn burgers-equation computational-science deep-learning differential-equations gpt klein-gordon-equation machine-learning mathematics neural-network neural-networks numerical-methods partial-differential-equations pdes physics-informed-learning physics-informed-neural-networks pinn python pytorch tensorflow
Language:Python 87
haranjackson / PyPDE
A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.
partial-differential-equations pdes ader weno weno-schemes finite-volume finite-volume-methods euler-equations navier-stokes-equations godunov-peshkov-romenski godunov eigen
Language:C++ 56
GalerkinToolkit / GalerkinToolkit.jl
FEM toolbox with automatic code generation, HPC support, and more.
code-generation computational-science finite-element-methods hpc julia metaprogramming mpi pdes scientific-computing
Language:Julia 29
MHDFlows / MHDFlows.jl
Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl
julia gpu fourierflows pdes magnetohydrodynamics turbulence
Language:Julia 26
gregoirepourtier / SkeelBerzins.jl
Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe
finite-element-methods julia method-of-lines partial-differential-equations 1-dimensional pdes
Language:Julia 15
spatial-model-editor
spatial-model-editor / spatial-model-editor
Spatial bio-chemical reaction model editor and simulator
spatial-simulation systems-biology copasi reaction-diffusion dune sbml sbml-model libsbml pdes
Language:C++ 15
kimy-de / pinns
Physics-informed neural networks (PINNs)
pytorch burgers-equation pdes pinns physics-informed-neural-networks allen-cahn deep-learning neural-networks
Language:Jupyter Notebook 11
pujyam / simian
Simian Process Oriented Conservative JIT PDES from LANL
discrete-event-simulation simulation-framework simulation-models pdes luajit python javascript
Language:Python 11
papadeiv / NNsPOD
Deep-learning model for optimised proper orthogonal decomposition of non-linear, hyperbolic, parametric PDEs based on a pre-processing method of the full-order solutions
reduced-order-modeling ithaca-fv python neural-networks proper-orthogonal-decomposition pdes finite-volume-method
Language:C++ 7
lizayusof / SIF3012-Computational-Physics
Materials for for SIF3012 Computational Physics course. This course is designed for Physics students taking Computational Physics course. Some materials need to be guided through lectures series (provided in Spectrum and class)
fft matrices odes pdes
Language:Jupyter Notebook 6
sdhzhs / ICE3D
A 3D solver based on two coupled PDEs for calculation of glaze and rime icing on aircraft surface
pdes solver icing filmflow
Language:Fortran 6
Freya-Feng / RobinDD
Robin-type Domain Decomposition
1million-degrees-of-freedom-on-single-computer domain-decomposition navier-stokes-equations pdes robin-boundary-conditions
Language:MATLAB 4
helq / doryta
Neuromorphic event-driven simulator in C and MPI (successor of NeMo https://github.com/markplagge/NeMo)
event-driven-simulation leaky-integrate-and-fire-neuron lif mpi neuromorphic-computing neurons pdes ross snn spiking-neural-networks
Language:C 3
hippylib / hippylib2muq
Scalable Markov chain Monte Carlo Sampling Methods for Large-scale Bayesian Inverse Problems Governed by PDEs
baysian-inference inverse-problems pdes markov-chain-monte-carlo
Language:Jupyter Notebook 3
kimy-de / fcnn
Five-point stencil Convolutional Neural Networks (FCNNs)
cnn data-driven-model neural-networks pde-solver pdes pytorch reaction-diffusion
Language:Python 3
lanl / shoccs
Stable High-Order Cut-Cell Solver
pdes numerical-methods ranges dsl
Language:C++ 3
poshtkohi / pdes
A Parallel Discrete Event Simulation Engine with Examples
des-simulators discrete-event-simulation pdes parallel-discrete-event-simulation conservative gate-level-simulation logic-simulator many-core metis multi-core parallel-simulation partitioning queueing-networks sychronization software-engineering
Language:C++ 3
PINNs
srigas / PINNs
Repository with notebooks about Physics Informed Neural Networks, written in JAX + Flax.
flax jax neural-networks pdes pinns python
Language:Jupyter Notebook 3
sthavishtha / Computational-Physics
Exercise solutions of the course : Introduction to Computational Physics offered at ETH Zurich
computational-physics eth-zurich monte-carlo pde pdes percolation
Language:C++ 3
BambooFlower / Math-Scripts
A collection of scripts for math visualization
visualization math ode fluid-dynamics graph-theory navier-stokes-equations bifurcation pdes dynamical-systems quaternions hypercube fourier-series
Language:MATLAB 2
cvijoviclab / cdc42_ClassicalAndNonClassicalTuringConditions
Spatiotemporal mathematical model of Cdc42-mediated cell polarisation consisting of a coupled system of reaction diffusion equations
pdes fem reaction-diffusion reaction-diffusion-simulation turing-instability mathematical-analysis linear-stability-analysis diffusion-driven-instability cd42 cell-polarisation non-dimensionalisation
Language:TeX 2
markmbaum / simple-spectral-PDEs
pseudospectral (fourier) solutions of a few 1-dimensional PDEs
korteweg-de-vries kuramoto-sivashinsky pdes pseudospectral
Language:Julia 2
poshtkohi / psml
PSML: parallel system modeling and simulation language for electronic system level
cplusplus embeddedsystems parallel-simulation pdes simulation-library systemc verilog vhdl discrete-event-simulation multi-core multithreading partitioning rtl system-level-description-language system-level-simulator system-verilog testbench verification component-based-modeling component-based-software-design
Language:C++ 2
ranasid17 / Numerical-Methods
Python implementations of common numerical methods used to solve ODEs and PDEs
pdes odes python
Language:Python 2
sebastianangerhausen / SPDPS
A Stochastic Primal-Dual Proximal Splitting Method for Risk-Averse Optimal Control of PDEs
conditional-value-at-risk non-smooth-optimization optimal-control optimization pdes proximal-operator risk-averse stochastic-optimization
Language:Julia 2
smarras79 / pinn
Educational code for PINNs development
pdes physics-informed-neural-networks pinns
Language:Python 1
tvumcc / pde-sandbox
Interactive simulation of physics based PDEs using OpenGL compute shaders
cpp opengl pdes physics
Language:C++ 1
VikasChidananda / RBC-SymExDRL
This repository contains my thesis work on the control of RBC using symmetry exploiting deep reinforcement learning
deep-reinforcement-learning pdes pytorch
1