MOUSE is a tool for estimating microreactor costs by integrating design calculations and economic analysis. It evaluates the impact of technological changes and economic parameters on microreactor design and costs.

GBOpt is a modular Python tool that uses Monte Carlo–based optimization and structural manipulations to efficiently identify low-energy grain-boundary configurations. It supports multiple atomistic modeling engines and enables rapid exploration of grain-boundary structures in single-element systems.

APT Ninja is an image-based tool for cluster analysis of Atom Probe Tomography data. It slices 3D datasets into 2D sections, segments clusters in each slice, and reconstructs them in 3D. This enables efficient, scalable processing of large datasets.

This code performs Bayesian calibration of nuclear-graphite property models using hierarchical data integration and the Kennedy–O’Hagan framework to quantify model inadequacy and experimental variability.

Tool to estimate the hydropower potential of a site.

P-Gems evaluates the Platinum Group Metals (PGM) supply chain by simulating supply, demand, and prices under two future scenarios based on automotive transitions and electrolyzer growth. It forecasts each metal’s supply-demand balance and price trends.

Pulse is a downsampling algorithm for timeseries data. This algorithm was developed for downsampling electrolysis stack test data, but has applications in other areas where distinct outliers are important, like seismology or astronomy.

EXI for Python (EXPy) is a pure Python library for integrating the LF Energy EVerest EXI libraries into new Python coded projects. EXPy provides an integration and abstraction layer into the C/C++ EXI implementation from EVerest.

A high temperature electrolysis data warehousing and visualization platform

A collection of tools and scripts used to communicate and emulate Electric Vehicle Communication Controllers (EVCC) and Supply Equipment Communication Controllers (SECC).