Simulation of Microstructure Evolution and Prediction of Material Behavior
Visiting Assistant Professor
Department of Mathematics
Ohio State University
12 PM, Wednesday, February 15th, 2017
1065 Kemper Hall
Abstract: Computational materials science offers the possibility of beginning with an engineering specification, deriving a desired microstructure, and suggesting a suitable processing route. That is, materials development could become rational instead of empirical. Unfortunately, this has not yet been realized. The speaker believes that there are three reasons for this. First, recently available three-dimensional microstructure information is invaluable to train material models, but is not easily analyzed with traditional techniques. Second, most computational material models involve significant simplifications that reduce the computational cost or avoid unavailable material properties, but can reduce the model accuracy. Third, the most common microstructure descriptors do not provide enough information to precisely specify a target microstructure, and more complete descriptors are necessary. The speaker will discuss his work to address all three of these obstacles for the case of a metallic microstructure evolving at high temperatures.
Biography: Jeremy Mason’s research involves the use of computational materials science and applied mathematics to model the evolution of material microstructures and phase transitions. His purpose is to improve our computational capabilities to the point that they can usefully guide experiments in the laboratory. This can involve the development of new computational techniques, the derivation of new governing equations, and the application of applied mathematics to new contexts.
Mason is currently a Visiting Assistant Professor of Mathematics at the Ohio State University. Prior to this appointment, he was an Assistant Professor in Mechanical Engineering at Bogazici University in Turkey. Mason’s postdoctoral positions included a Lawrence Fellowship at Lawrence Livermore National Laboratory and several years as a Member in the School of Mathematics at the Institute for Advanced Study. He earned his Ph.D. in Materials Science and Engineering from the Massachusetts Institute of Technology.