Towards accurate prediction for ultra-low carbon tempered martensite property through the cross-correlated substructures

•A high-throughput experiment for steels based on LMD and GTHT was developed. A machine learning model possessing microstructure input terminals was put forward.•The average error of validation set in microhardness can be as low as 14.37 HV.•The reported strategy holds the promise for the application to other martensite steels.