OpenMC Monte Carlo Code
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
A curated list of open source projects used in nuclear science and engineering
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.
ENRICO: Exascale Nuclear Reactor Investigative COde
For shallow-water Lagrangian particle routing.
Native plotting GUI for model design and verification
MC/DC: Monte Carlo Dynamic Code
Monte Carlo Simulation propagating charged Leptons through Media as C++ Library
THOR is a radiation transport code for unstructured meshes.
Two phase particle transport model simulating formation damage in porous media
Project repository for "An Open Source Nuclear Modeling Ecosystem to Support Fusion Pilot Plant Design" collaboration between MIT and ANL
Energy-dependent neutron transport Monte Carlo implemented in Rust.
This repository contains a beginner-friendly tutorial for OpenMC, a Monte Carlo particle transport simulation code widely used in nuclear engineering.
(M)onte Carlo (I)nteraction and (D)osimetry (S)imulation of (X)-Rays. WIP senior thesis project at Saint Vincent College.
DECIMA (Data Extraction & Contextual Inference for MCNP Analysis) — MCNP PTRAC parsing, advanced analysis, and contextual inference tool combining a nuclear physics knowledge graph and an LLM-powered assistant to deliver accurate, no-code answers for neutron and photon transport simulations, built on the official MCNPTools library from LANL.
High-performance hybrid (C++/Python) Monte Carlo engine for Gamma Spectroscopy. Built from first principles to simulate photon transport, analytical ray-tracing geometry, and validate backscatter phenomena against experimental data.
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.
🚀 Implement the Lean Ethereum consensus protocol in Go, featuring post-quantum security and fast finality for a decentralized future.
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