USC Researcher Shrinks Computational Time From Months To Seconds

Simulation and computing is a mainstay in engineering design, a mathematical modeling process that allows engineers to predict the behavior of a machine or system in real-world conditions. But if the datasets are huge and complex, modeling can take days or even weeks to sort out. That’s why Yi Wang is using a method called reduced-order models to speed things up.

“I can shrink the computational time necessary from weeks or months to seconds,” says Wang, an associate professor of mechanical engineering in the College of Engineering and Computing. Reduced-order models are basically simplifications of much more complex models. 

https://www.sc.edu/uofsc/posts/2021/05/breakthrough_star_yi_wang.php#.YMjVmlRKiUk