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apma2070

apma_2070_engn_2912_spring_2024

ccv_job_submission_routines

darpa_actm

e3sm

Energy Exascale Earth System Model source code.

enm531

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

geophysicalflows.jl

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

iamr

A parallel, adaptive mesh refinement (AMR) code that solves the variable-density incompressible Navier-Stokes equations.

lammps

Public development project of the LAMMPS MD software package

libparanumal

Accelerated finite element flow solvers

mui

Multiscale Universal Interface: A Concurrent Framework for Coupling Heterogeneous Solvers

mutationpp

The MUlticomponent Thermodynamic And Transport library for IONized gases in C++

nek5000

our classic

nekrs

our next generation code

npjcompumats-03747

pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

quasi_1d_dgsem

revise.jl

Automatically update function definitions in a running Julia session

rfg_sisc

sciann

Deep learning for Engineers - Physics Informed Deep Learning

stanford-cs193g-sp2010

Automatically exported from code.google.com/p/stanford-cs193g-sp2010

surveyofpdepackages

Survey of the packages of the Julia ecosystem for solving partial differential equations

tensordiffeq

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

training-materials

Collection of example codes and presentations used for training users of Mutation++

trixi.jl

Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia

usermeso-2.0-mdpd