most citedCombining Synchrotron X-ray Diffraction, Mechanistic Modeling, and Machine Learning for In Situ Subsurface Temperature Quantification during Laser Melting

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2024

Deconvoluting Thermomechanical Effects in X-ray Diffraction Data using Machine Learning

Rachel E. Lim, Shun-Li Shang, Chihpin Chuang +3

X-ray diffraction is ideal for probing sub-surface state during complex or rapid thermomechanical loading of crystalline materials. However, challenges arise as the size of diffrac…

cond-mat.mtrl-sci2023★ 1 cited

Combining Synchrotron X-ray Diffraction, Mechanistic Modeling, and Machine Learning for In Situ Subsurface Temperature Quantification during Laser Melting

Rachel E. Lim, Tuhin Mukherjee, Chihpin Chuang +3

Laser melting, such as that encountered during additive manufacturing (AM), produces extreme gradients of temperature in both space and time, which in turn influence microstructura…