2 papers
cond-mat.mtrl-sci2026
Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature
Rutchapon Hunkao, Urvesh Patil, Stefano Sanvito
The prediction of stable alloys forming solid-state solutions across large portions of the composition space is a serious theoretical challenge, since one has to evaluate the Gibbs…
physics.comp-ph2018
Machine learning clustering technique applied to powder X-ray diffraction patterns to distinguish alloy substitutions
Keishu Utimula, Rutchapon Hunkao, Masao Yano +5
We applied the clustering technique using DTW (dynamic time wrapping) analysis to XRD (X-ray diffraction) spectrum patterns in order to identify the microscopic structures of subst…