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reactor-physics

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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 Apr 19, 2026
  • Python

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 Sep 30, 2026
  • Python

Monte Carlo neutron transport in OpenMC over a PWR pin-cell lattice, with a Gaussian-process surrogate for k-infinity measured against the stochastic uncertainty of the calculation it replaces. Reactivity coefficients validated against transport runs the surrogate never saw.

  • Updated Sep 25, 2026
  • Python

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