Deep and Machine Learning for Microscopy

Optimization at scale, powered by libEnsemble

A metric on probability distributions of windows in two-dimensional microstructures

Benchmarking Large Language Models for Materials Science Tools

Collective and Neighbor Collective Optimizations and Extensions

Various mechanics modules for the MOOSE framework

Smith is a high order nonlinear thermomechanical simulation code

Astrophysical multifluid radiation hydrodynamics code

Tools and Methods for Kikuchi Diffraction

Heat transfer code utilizing a nondimensionalized semi-analytic solution to moving heat sources with a 3D Gaussian power density

blueCFD-Core project development repository, by FSD blueCAPE Lda, for porting OpenFOAM 3.0 and newer to Windows. The original OpenFOAM commits are on the respectively named branches.

Curated list of known efforts in materials informatics, i.e. in modern materials science

Source code for HOLE program.

Polycrystal generation and meshing

Open-source python package for multicomponent multiphase equilibrium CALPHAD calculations

Finite difference heat transfer using Cabana for additive manufacturing

Python based tool for Hough/Radon based EBSD orientation indexing

A continuum physics code for additive manufacturing built on OpenFOAM

MVG = Minimum Viable Governance

IPPL is a C++ library to develop performance portable code for fully Eulerian, Lagrangian or hybrid Eulerian-Lagrangian methods.

ALCF Systems User Documentation

DDC is a discrete domain computation library.

Phase-field with Cabana

Performance-portable library for particle-based simulations

📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.

TAMMBER fork of ParSplice - Accelerated, massively parallel construction of Markov/kMC Models from MD

Autopas is a node-level auto-tuned particle simulation library developed in the context of the TaLPas project.

Data repository for my blog series on microprocessor trend data.