Author: Zheng Guo
Engineering Research
Schmidt AI in Science Fellow Zheng Guo leverages program synthesis to accelerate scientific computing, with a particular focus on optimizing high-dimensional tensor approximations and computational kernels used across computational science. By automating the search for optimal network structures and contraction orders under diverse optimization objectives, his research enhances the efficiency and accuracy of numerical simulations—an essential component in fields ranging from fluid dynamics to quantum mechanics. Recently, he developed a method that is 10 times faster than state-of-the-art structure search techniques while achieving 1.5x–3x better compression ratios. In the future, this work will be integrated with partial differential equation (PDE) solvers to enhance their performance.
This ongoing research is conducted in collaboration with Dr. Alex Gorodetsky from aerospace engineering, Dr. Brian Kiedrowski from nuclear engineering, and Dr. Xinyu Wang from computer science.