
Open-source framework for 4H-SiC blade dicing process optimization combining physics-based simulation, heteroscedastic Gaussian process surrogates, Ensemble Kalman Filter state estimation, and Bayesian optimization. Core paper path is reproducible via scripts/reproduce_paper.sh with CI-regression-tested LOO metrics.
semiconductor manufacturing, Ensemble Kalman Filter, silicon carbide, process optimization, wafer dicing, heteroscedastic Gaussian process, surrogate modeling
semiconductor manufacturing, Ensemble Kalman Filter, silicon carbide, process optimization, wafer dicing, heteroscedastic Gaussian process, surrogate modeling
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