Combining synchrotron X-ray diffraction, mechanistic modeling and machine learning for in situ subsurface temperature quantification during laser melting

A new methodology is demonstrated for analyzing spatial temperature distributions using modeling and machine learning. The method is applied to X-ray data gathered during in situ laser melting.