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.

Dr. Shaohao Chen obtained his PhD 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.