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第478期“工物学术论坛”:X射线探测器领域的行业发展情况和机遇
天文系 Colloquium: Interstellar X-ray Dust Scattering: Current Research andFu...
【图书馆系列讲座】开题与立项前的文献调研概述(理工类)
【图书馆系列讲座】开题与立项前的文献调研概述(社科类)
报告题目:
High Performance Computing, Attosecond Physics and Deep Learning
 报告人:
陈少豪博士
Louisiana State University
报告时间:
2018-06-12 10:00
报告地点:
物理系理科楼B315
主办单位:
物理系
  简介:

 

清华大学原子分子纳米科学中心前沿交叉学科论坛系列

High-performance computing (HPC) plays a key role in nowadays scientific research. Computer clusters and GPUs are widely used in science and engineering. In this talk, I will first briefly introduce HPC and its recent development, then I will show applications of HPC in two research fields. (1) Attosecond physics. Especially we analyzed ultrafast phenomena in attosecond transient absorption spectrum. (2) Deep learning in quantum physics. We applied a convolutional neural network model to deal with the Schrodinger Equation. The model was learned from data.

报告人简介:Dr. Shaohao Chen obtained his Ph.D in Physics from the Tsinghua University in 2008. After postdoctoral appointments at JILA in University of Colorado and at Louisiana State University (LSU), he worked as a Scientific Computing Consultant (permanent staff) at LSU. Later he joined Boston University, where he is now a Senior Scientific Computing Consultant. His research interests are focused on high-performance computing and strong-field physics.

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