The research conducted at the Stanford High Performance Computing Center explores new avenues at the intersection of multiple disciplines, including computer science, statistics, numerical analysis, and physics.
Previously, we’ve done research that developed novel strategies to deal with uncertainties in computational science and solved efficiency and optimization problems in aerospace and automotive engineering. Currently, we support research on environmental flows, cardiovascular fluid dynamics, aerospace applications, programming languages, turbulence modeling, among others.
Some of our specific research projects are:
- predicting rare weather events so as to limit power fluctuation from solar devices and other renewable energy sources that would otherwise negatively impact the power grid
- optimizing execution time for various computer programs so that large complex simulations can run more efficiently on a general multi-purpose computer
- quantifying probabilities of catastrophic power grid failure from events such as earthquakes so as to minimize power grid susceptibility and minimize the cost of any such catastrophic failure
- simulating the functions of the heart in order to better optimize cardiovascular surgery and design better cardiovascular devices
- determining wind distributions in cities so as to measure changing weather and climate patterns and design better and more efficient urban architecture
All of these research projects have many and varied real world applications, benefiting individuals and institutions on many levels.