A three-stage computational framework developed to simulate Rutherford Backscattering Spectrometry (RBS). The project transitions from high-fidelity physical simulations to real-time AI predictions.
machine-learning neural-network monte-carlo openmp monte-carlo-simulation materials-science monte-carlo-methods importance-sampling openmp-parallelization rutherford-scattering material-classification rutherford-backscattering geiger-marsden-experiment
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Updated
Jun 8, 2026 - Python