• Dr. Selim Esedoglu, Dept. of Mathematics, University of Michigan
  • Wednesday, Sept. 22. 4-5 p.m.
  • EH 3866

A polycrystalline material consists of many crystallites called grains that are differentiated by their varying orientation. These materials are very common, including most metals and ceramics. The properties of the network of grains making up these materials influence macroscale properties, such as strength and conductivity. Hence, understanding the statistics of the grain network and how it evolves under manufacturing processes (such as heat treatment) is of great technological interest. I’ll describe some new numerical algorithms, developed jointly with Matt Elsey and Peter Smereka, for carrying out large scale simulations of this important phenomenon.