Yu-Hang Tang is a Research Scientist with the Computational Chemistry, Materials and Climate Group in LBL's Computational Research Division. He joined the lab in Fall 2017 as an Alvarez Postdoctoral Fellow. With formal training in applied mathematics and polymer science, he has marched along the interface between mathematics, computer science, and natural science, seeking interesting topics concerning methodology development for data-driven modeling of chemistry and material systems.
His other long-time research interests include multiscale simulation, concurrently coupling, accelerated/heterogeneous computing, and data visualization. He's also the primary author/contributor of several open-source scientific packages such as the Multiscale Universal Interface (MUI), OpenRBC, uDeviceX, and the USER-MESO package for LAMMPS, and a finalist of the 2015 Gordon Bell Award.
Prior to joining LBNL, he obtained a Ph.D. degree in applied mathematics from Brown University under the supervision of Prof. George Karniadakis. Earlier, he was initiated into computer modeling by Prof. Jun Ling while completing his bachelor's degree in polymer materials and engineering at Zhejiang University in China.
He has published more than 20 research papers and has given tens of presentations and lectures at international conferences.
GraphDot: GPU-accelerated library for graph similarity computation. Repository
A High-Throughput Solver for Marginalized Graph Kernels on GPU. IPDPS 2020. slides