DEFRAG-MS is a preprocessing tool for TAP mass spectrometry data that corrects instrument gain and background and defragments overlapping ion signals to recover accurate, time-resolved gas fluxes. It supports kinetic analysis and catalyst evaluation for energy and industrial reaction systems.

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.

ELSA is a Python-based utility suite built on the OpenMC API that streamlines the creation of materials, regions, and geometries for nuclear simulations. It enables modular, reusable submodels and efficient generation of complex 3D parametric geometries for reactor and radiation analysis.

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

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 Python package for creating, manipulating, and optimizing bicrystal grain boundary structures through configurable global optimization workflows. It uses a modular architecture, with separate modules for structure creation, manipulation, and optimization.

Tool to estimate the hydropower potential of a site.

This package applies the different aspects of SEARCH (store, explore, assess, reduce, confirm, and holistic) to initial machine learning results to an unknown data set.

Our modeling tool developed an efficient method utilizing the publicly available Cropland Data Layer (CDL) to identify farms based on field boundaries. The code iteratively combines delineated fields into farms according to specified criteria, considering proximity, size, and distribution of farms.

A high temperature electrolysis data warehousing and visualization platform