报告题目： Computational electronics and materials from atomic first principles
报 告 人：Guo Hong (郭鸿)教授（加拿大McGill大学）
报告时间： 2017年 4 月28 日（星期五）下午 16:00—17:30
In this presentation, I shall outline our effort in generating a new set of technology computer aided design (TCAD) tools for quantum device simulation and materials modeling. Currently, TCAD tools rely on empirical data and classical/semi-classical physical models. Due to the rapid development of nano-scale electronic devices where quantum transport is closely coupled to atomic details of the material, a new TCAD based on atomic first principles is desired. Such atomistic-TCAD should be able to solve problems of nanoelectronics design and emerging electronic materials prediction from first principles without free parameters. I shall present the computational materials science for atomistic-TCAD, focusing on some of our own work. Examples will demonstrate useful applications in solving contemporary device physics and emerging materials problems. The following is the outline of the talk.
➢ Introduction to quantum transport.
➢ 4 examples of transport: solving an old puzzle; idea for solving a critical engineering problem; prediction for ultimate nanowire; understanding “strange” experimental data.
➢ Help electronics industry: the interconnect issue.
➢ Help the environment: solar fuels.
➢ Method innovation.
➢ Summary – a few words to students.