基本信息
浏览量:93
职业迁徙
个人简介
He has received the Landau Prize in Mathematics (1978), the Rothschild Prize in Mathematics
(1990) and the SIAM/ACM Prize in Computational Science and Engineering (2005). The
SIAM/ACM Prize, which is the highest international prize in this field, was established in
2003, and Brandt was its second winner (and first sole winner) ever. The citation for this
prize reads that it was awarded to Prof. Brandt for “pioneering modern multilevel
methods, from multigrid solvers for partial differential equations to multiscale techniques
for statistical physics, and for influencing almost every aspect of contemporary
computational science and engineering."
Prof. Brandt is best known for the development of advanced methods for solving partial
differential equations and other problems with a multitude of unknowns. More recently,
extensions of these methods to large graph problems, data analysis and image processing
have gained much recognition. Most recently, he has developed a new computational
method called systematic upscaling, which dramatically increases the speed and
efficiency of computations for systems with a large number of variables. For example, it
can speed up atom-by-atom simulations of polymer design by two orders of magnitude.
This research paves the way for the solution of vital computational problems in science
and engineering, such as certain calculations required for the design of proteins, drugs,
nanosystems, materials, chemical reactions and industrial processes.
(1990) and the SIAM/ACM Prize in Computational Science and Engineering (2005). The
SIAM/ACM Prize, which is the highest international prize in this field, was established in
2003, and Brandt was its second winner (and first sole winner) ever. The citation for this
prize reads that it was awarded to Prof. Brandt for “pioneering modern multilevel
methods, from multigrid solvers for partial differential equations to multiscale techniques
for statistical physics, and for influencing almost every aspect of contemporary
computational science and engineering."
Prof. Brandt is best known for the development of advanced methods for solving partial
differential equations and other problems with a multitude of unknowns. More recently,
extensions of these methods to large graph problems, data analysis and image processing
have gained much recognition. Most recently, he has developed a new computational
method called systematic upscaling, which dramatically increases the speed and
efficiency of computations for systems with a large number of variables. For example, it
can speed up atom-by-atom simulations of polymer design by two orders of magnitude.
This research paves the way for the solution of vital computational problems in science
and engineering, such as certain calculations required for the design of proteins, drugs,
nanosystems, materials, chemical reactions and industrial processes.
研究兴趣
论文共 145 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
Physical Review Eno. 2 (2021)
semanticscholar(2018)
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