RT Journal Article
SR Electronic
T1 Crystal nucleation in metallic alloys using x-ray radiography and machine learning
JF Science Advances
JO Sci Adv
FD American Association for the Advancement of Science
SP eaar4004
DO 10.1126/sciadv.aar4004
VO 4
IS 4
A1 Liotti, Enzo
A1 Arteta, Carlos
A1 Zisserman, Andrew
A1 Lui, Andrew
A1 Lempitsky, Victor
A1 Grant, Patrick S.
YR 2018
UL http://advances.sciencemag.org/content/4/4/eaar4004.abstract
AB The crystallization of solidifying Al-Cu alloys over a wide range of conditions was studied in situ by synchrotron x-ray radiography, and the data were analyzed using a computer vision algorithm trained using machine learning. The effect of cooling rate and solute concentration on nucleation undercooling, crystal formation rate, and crystal growth rate was measured automatically for thousands of separate crystals, which was impossible to achieve manually. Nucleation undercooling distributions confirmed the efficiency of extrinsic grain refiners and gave support to the widely assumed free growth model of heterogeneous nucleation. We show that crystallization occurred in temporal and spatial bursts associated with a solute-suppressed nucleation zone.