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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 Aug 1, 2025
  • Python

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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