科学研究

Large time-stepping methods for the epitaxial growth models

发布时间:2017-05-10

报告题目:
Large time-stepping methods for the epitaxial growth models
报告人:
Zhonghua Qiao
报告人所在单位:
The Hong Kong Polytechnic University
报告日期:
2017-05-10 星期三
报告时间:
10:00
报告地点:
光华东主楼1801
报告摘要:

Recently, epitaxial growth has become an important technique for the growth of thin films. Numerical simulations play more and more important role in the study of the epitaxial growth models. For the growth simulations, sufficiently long integration time is necessary in order to detect the growth behaviors and to reach the physical scaling regime. Thus, highly stable and accurate numerical schemes are required. In this talk, we will present recent studies on the large time-stepping numerical methods for the epitaxial growth models.

海报

本年度学院报告总序号:
77