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.
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Harsha Gangammanavar
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]
DOE Awards SMU-Led Research Team $2M Grant for Algorithms Improving Complex Energy Systems
by Lance Murray | Nov 14, 2022
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.
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.
