1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
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…
Demonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization
Jordan S. Weaver, Adam L. Pintar, Carlos Beauchamp +3
High-throughput experiments that use combinatorial samples with rapid measurements can be used to provide process-structure-property information at reduced time, cost, and effort.…