Bayesian optimization with Gaussian process models finds near-optimal copper slag, limestone, and Portland cement blends meeting strength, cost, and emissions targets in 2-6 iterations from 10 initial points.
Hydration of blended cement with high volume iron -rich slag from non-ferrous metallurgy,
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Active learning-based Bayesian optimization in the realm of copper slag-blended cement systems
Bayesian optimization with Gaussian process models finds near-optimal copper slag, limestone, and Portland cement blends meeting strength, cost, and emissions targets in 2-6 iterations from 10 initial points.