On January 20, selected by members of the Chinese Academy of Sciences and the Chinese Academy of Engineering, China announced its top ten news in science and technology in 2020 in Beijing. The news "Machine Learning Simulates Hundreds of Millions of Atoms: The Sino-US team won the 2020 ACM Gordon Bell Prize” was on the list.
This work is the first in the world to combine intelligent supercomputing and physical models, leading scientific computing from the traditional computing model to the direction of intelligent supercomputing. College of Engineering’s researcher Mohan Chen and his master student Denghui Lu are in the research team.
Their work "Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning" won the 2020 ACM Gordon Bell Prize at the Global High Performance Computing, Networking, Storage and Analysis Conference (SC20).
Machine learning + physical simulation + high-performance computing = a new scientific paradigm (photo by Weile Jia)
The research team also includes associate researcher Weile Jia of the Institute of Computing Technology of the Chinese Academy of Sciences, associate researcher Han Wang of the Beijing Institute of Applied Physics and Computational Mathematics, Weinan E, member of the Chinese Academy of Sciences, researcher Linfeng Zhang of the Beijing Institute of Big Data, Professor Lin Lin of University of California, Berkeley and Professor Roberto Car from Princeton University.