Presto Researcher

Daniel Packwood

kyoto University
Lecturer
website

Outline

Graphene is widely expected to be a replacement material for silicon in next-generation electronics. A crucial step for the synthesis of graphene is the assembly of molecules into island structures when placed on a metal surface. However this process is poorly understood, and consequently there are few established methods to fabricate high-quality graphene in large quantities. The first goal of this research is to create a general stochastic model of the island formation process and develop mathematical tools for its analysis. The second goal is to develop machine learning techniques to connect a real metal surface and molecule to this abstract model. In this manner, we aim to identify a new principle for the formation of target island structures in large quantity, and therefore bring materials scientists one step closer to achieving controlled synthesis of high-quality graphene.