4 , S2 , and S3 reveal an important trend: the RF model produces more accurate predictions of cement hydration kinetics at later ages (i.e., time ≳ 5 h) as compared to predictions of early age (time ≲ 5 h) hydration kinetics.
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Machine learning enables prompt prediction of hydration kinetics of multicomponent cementitious systems.
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