SMU professor Harsha Gangammanavar is leading a multidisciplinary team to develop algorithms that improve complex energy systems—like the management of the energy grid under intermittent renewable power. [Images: SMU photo; istockphoto]
SMU researchers aim to help address problems in the broad area of computational mathematics for sustainability—such as the management of the energy grid under intermittent renewable power. The research is aimed at developing new algorithms for materials design, bioengineering, and power grid applications.
Researchers will use SMU's high-performance computing system—enhanced with an NVIDIA DGX SuperPODTM—as well as the supercomputing resources at Argonne National Laboratory.