基本信息
浏览量:214
职业迁徙
个人简介
Ying Wenjun, distinguished research fellow; bachelor of Tsinghua University, doctorate and post-doctorate of Duke University, and the tenure-track assistant professor of Michigan Technological University. He has put forward the computational method of spatial-temporal adaptation for the analogue simulation of heart transmission in electrocardiac wave, which has reached the internationally advanced level. The method can be applied in the hydromechanics (such as supersonic flight simulation), or other important science and engineering problems in mathematical biology. In the case of the simulation of electrocardiac wave transmission, he has proposed the full –implicit temporal integral method for the reaction-diffusion equation. And on the studies of the impact of biological cells on electrical field stimulation, he has proposed the method of hybrid finite element, which significantly improved the computation precision and efficiency. He proposed the nucleus-free boundary integral method as to partial differential equation of elliptic type, which has overcome several limitations of traditional boundary integral method. Researchers can use the nucleus-free boundary integral method without needing to know the analytic expression of integral kernel. The method has extended the boundary integral method to the partial differential equation of solvable coefficient and anisotropy. He has won the funding of NSF in 2009 for his studies on the nucleus-free boundary integral method. He was sponsored by the national 1000 talent plan in 2011.
研究兴趣
论文共 67 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
arxiv(2024)
Computer Methods in Applied Mechanics and Engineering (2024): 116779
arxiv(2024)
引用0浏览0引用
0
0
arxiv(2024)
引用0浏览0引用
0
0
arxiv(2024)
引用0浏览0引用
0
0
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2024): 115624-115624
JOURNAL OF COMPUTATIONAL PHYSICS (2024): 112545-112545
arxiv(2024)
引用0浏览0引用
0
0
arxiv(2024)
引用0浏览0引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn