Nature & Science (Computing)'s Projects
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
A numerical simulation of the (2+1)D Dirac equation on a in space and time staggered grid with periodic or absorbent boundary conditions using perfectly matched layers.
Forward Mode Automatic Differentiation for Julia
Local, global, and beyond optimization for scientific machine learning (SciML)
kMap.py is a python based program for simulation and data analysis in photoemission tomography.
The mitosheet package, trymito.io, and other public Mito code.
A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.
Code for the lecture "Phase Transition and Critical Phenomena"
Reservoir computing utilities for scientific machine learning (SciML)
Julia Wrapper for the Triangle Mesh Generator
Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method