Probabilistic Deep Learning Framework for Phase Transformation Forecasting aided by In Situ High temperature Microscopy

The mechanical performance of structural materials is governed by their microstructure, which is itself set by the thermal history imposed during processing. Predicting how that microstructure evolves along an arbitrary thermal trajectory, however, remains a challenging problem. Conventional continu