OpenMC Monte Carlo Code
-
Updated
Oct 10, 2026 - Python
OpenMC Monte Carlo Code
Nuclear Data Extraction Library
FISPACT-II workshops given at OECD
Applied Nuclear Data Assimilation using Least sqUareS (ANDALUS) is an Open Source data assimilation tool for improving predictions of nuclear applications.
Neutron spectrum regrouping and adjustment tools.
A small python library to read multigroup nuclear data libraries.
Python package to read nuclear mass files from the AME and NUBASE published datasets
SAUNA: A Python package for sensitivity and uncertainty analysis
A GUI-based internal dose calculator using ICRP phantoms and S-value datasets. Supports adult male and female models for I-131, Lu-177, and Ra-223.
An open-source tool that converts EPICS datasets (EEDL, EADL, and EPDL) into structured HDF5 files, making evaluated electron-photon coupled physics data easy to use in Python-based simulations, analysis, and modern scientific workflows.
FastAPI + Plotly Dash platform for comparing nuclear cross-section data across 12 evaluated libraries via OECD-NEA JANIS. Bounded JVM concurrency, TTL/LRU cache, 297 tests.
IRMA - One phonon model, three outputs: ENDF-6 thermal scattering evaluations, instrument-resolved INS spectra, and NCrystal transport kernels; a machine-learned-potential front end starts from a bare crystal structure.
Provenance-first nuclear-data audit toolkit for superheavy nuclei: IAEA/AMDC/ENSDF-style ingestion, decay-chain observability, route-feasibility scoring, Bayesian/Monte Carlo sensitivity, benchmarks, ablation, and falsification logic.
GenNJOY is an open-source Python framework designed to automate the generation of high-fidelity, continuous-energy nuclear data libraries. It serves as a robust interface between raw Evaluated Nuclear Data Files (ENDF-6 format) and the NJOY2016 nuclear data processing system, streamlining the creation of ACE and HDF5 libraries for Monte Carlo codes
Simple codebase to analyze and download Evaluated Nuclear Data Files (ENDFs).
To associate your repository with the nuclear-data topic, visit your repo's landing page and select "manage topics."