Finding the governing equations for the evolution of microbial systems
The evolution of microbial systems is a complex process that develops in four dimensions of space and time, with the participation and interaction of biological, chemical, and physical processes. At present, our limited understanding of its governing equations has been obtained under certain conditions, and most of them are in the form of empirical formulas, such as assuming that there is no spatial variation, or no temperature variation, or no environmental influences. In this course, we will search and read the related literature, combine the existing observational data, perform some analysis and derivation, and explore and seek a more complete set of governing mathematical equations.

讲师
日期
2024年09月23日 至 11月28日
位置
Weekday | Time | Venue | Online | ID | Password |
---|---|---|---|---|---|
周一,周四 | 19:20 - 21:45 | A3-1-301 | ZOOM 01 | 928 682 9093 | BIMSA |
修课要求
Basic knowledge on mathematical analysis, linear algebra, and differential equations.
听众
Graduate
, Researcher
, Advanced Undergraduate
, 博士后
视频公开
不公开
笔记公开
不公开
语言
中文
讲师介绍
张晓明博士先后在浙江大学、北京大学、麻省理工学院获得学士、硕士和博士学位。现任北京雁栖湖应用数学研究院研究员,负责人工智能与大数据研究团队。张博士长期从事人工智能技术在大数据预测和资源优化配置问题上的研究、开发和应用。主持研发的数字智能服务平台“印染大脑”,得到业界的认可。目前,他的工作重点是工业领域数字孪生构建中的数学问题。