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reactor-physics

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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

  • Updated Mar 30, 2026
  • Python

A Genetic Algorithm (GA) / Discrete Particle Swarm Optimization/ Hybrid (GA-PSO) for nuclear fuel optimization using ML surrogates (DNN, KNN, Random Forest, Ridge) and OpenMC. Optimizes fuel loading patterns for a target k-eff and minimal Power Peaking Factor (PPF).

  • Updated Mar 21, 2026
  • Python

Open technical release of the Cognitive Supernova Generator (CSG) fusion‑fission hybrid reactor: OpenMC neutronics model, materials, safety, and Peaceful Use–only license for ocean cleanup, waste transmutation, and humanitarian energy.

  • Updated Jan 4, 2026

Machine Learning model used for the prediction of nuclear pressure vessel Embrittlement in advanced nuclear reactor , trained on 5000 unit USCB dataset of multiple US Nuclear reactors . Giving a MAE rate of 5% and r^2 accuracy score of 97% and Built upon latest Neural Network Architecture

  • Updated Oct 7, 2024

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