A dispersion relation solver for the hybrid-kinetic model of plasma physics.

Tutorial on PFSS modeling and spacecraft connectivity for the WInter 2022 PSP Scholars meeting

Algorithms and case studies for the paper "Accelerating delayed-acceptance Markov chain Monte Carlo algorithms".

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Applications of HUX Technique to a variety of heliospheric in-situ datasets.

POT3D: High Performance Potential Field Solver

High-Performance Symbolic Regression in Python and Julia

Exasim: Generating Discontinuous Galerkin Codes For Extreme Scalable Simulations

multifidelity global sensitivity analysis

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

Geometric Numerical Integration in Julia

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Reference implementation of variational integrators for the Vlasov-Poisson system in 1D1V.

Vlasiator - ten letters you can count on

This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The code is used for NIMROD simulations of the HIT-SI experiment an…

High-order Lagrangian Hydrodynamics Miniapp

DMD construction of ROMs for hyperbolic problems with shocks

Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.

Deep learning assisted dynamic mode decomposition

A python package focused on the detection, mapping, tracking, and general analysis of coronal holes in the solar corona.

Chaospy - Toolbox for performing uncertainty quantification.

Resources for papers published based on Helio4Cast software.

Code for our paper "Hamiltonian Neural Networks"

HUXt - a lightweight solar wind model.

Data Apps & Dashboards for Python. No JavaScript Required.

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes