Material Science and Artificial Intelligence: Insights from Professor Demircan Canadinc

Abstract

In this interview, Professor Demircan Canadinc of Koç University explains his work at the intersection of material science and artificial intelligence (AI). Professor Canadinc has concentrated on the deformation of metallic substances as his area of expertise in the area of mechanics of materials. His current research, in collaboration with important institutions like Los Alamos National Laboratory, transforms the design of high-strength, smart shape memory alloys, and biomedically compatible metallic materials. His work addresses the challenges of creating alloys with a Young’s modulus akin to human bone for orthopedic implants. Professor Canadinc uses AI to optimize the alloy composition with exceptional speed and efficiency which is a breakthrough that significantly improves upon the traditional, decades-long trial-and-error cycle in material design. This interview with Professor Canadinc explores the utilization of state-of-the-art techniques such as SEM and XPES housed in KUTTAM (Koç University Research Center for Translational Medicine) laboratory for the characterization of newly minted alloys. Professor Canadinc also sheds light on the broader usage of AI in materials science and his anticipation for the future applications of AI in the field.