Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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Updated
Jun 15, 2023 - Julia
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Python package for solving partial differential equations using finite differences.
Simulation Package for Ab-initio Real-space Calculations
YASK--Yet Another Stencil Kit: a domain-specific language and framework to create high-performance stencil code for implementing finite-difference methods and similar applications.
Matlab Simulation Package for Ab-initio Real-space Calculations
Automatic Finite Difference PDE solving with Julia SciML
OOMMF calculator.
2D incompressible fluid solver implemented in Taichi.
A Julia Toolbox for Geophysical Modeling and Inverse Problems
The 2DECOMP&FFT library provides access to a slabs and pencil decompositions as well as FFTs.
Python package for the analysis and visualisation of finite-difference fields.
Open Nuclear Reactor Simulator
Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics
A 1D heat conduction solver using Finite Difference Method and implicit backward Euler time scheme
An Open Nuclear Reactor Simulator and Reactor Core Analysis Tool
A Finite Difference Method Engine in C++
In analogy with thirdorder.py in ShengBTE, Fourthorder.py is developed to calculate fourth-order interatomic force-constants (4th-IFCs). Please post your questions in the 'Discussion' section of FourPhonon repository.
This file includes the code I've written for the course Numerical Method in finance, Stochastic Calculus in Spring 2020.
A machine learning boosted parallel-in-time differential equation solver framework.
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