Please join us for a seminar hosted by the Center for Gas Turbine Research, Education, and Outreach on April 29, 2021 at 1 PM. Our speaker is Dr. Sibendu Som from Argonne National Lab, who will be speaking about exascale computing, AI, and gas turbine simulations. There will be a networking session with the speaker for graduate students and post-docs after the talk at 2 PM. Info on the talk here: https://sites.psu.edu/gtreo/2021/04/20/gtreo-seminar-dr-sibendu-som-april-29-at-1-pm/
Register in advance for this meeting:
https://psu.zoom.us/meeting/register/tJ0ucu2vpzotGtXJORehIIY4_qGnOyPOLQnt
The Department of Energy’s National Labs is home to some of the world’s most advanced supercomputing capabilities, consistently holding positions in the list of the top ten fastest in the world. With exascale computing scheduled to come online at Argonne National Lab soon, the U.S. will maintain its leadership in supercomputing. These computing resources are being used to solve problems on a “very small scale” (e.g., research on subatomic particles), a “very large scale” (e.g., research on the origins of the universe), and everything in between. This is an opportune moment to tackle some previously computationally intractable research questions. To leverage the hybrid nature of the computing architecture, at Argonne we are developing the next-generation spectral element-based highly scalable Nek5000 code for Direct Numerical Simulations (DNS) and wall-resolved Large Eddy Simulations (LES). These high-fidelity simulations when fused with unique experimental measurements from Advanced Photon Source at Argonne are enabling us to develop a better understanding and improved models for propulsion applications. Several examples of the above approach will be discussed related to gas turbines, for e.g., liquid and gaseous jets in vitiated crossflow, liquid film cooling, lean blow-out, high-altitude relight, etc. New insights gained from high-fidelity simulations will be discussed and how these insights are being used to improve models that are being implemented in faster running design codes will be shown. Finally, in collaboration with several industrial partners, we are reducing time-to-design by using active learning-based machine learning techniques in conjunction with fast running simulations.
BIOGRAPHY
Dr. Sibendu Som is a principal computational scientist and manager of the Multi-Physics Computational Research section at Argonne National Laboratory. He has more than a decade of experience in multi-physics and multi-scale modeling of piston engines and gas turbines on High Performance Computing (HPC) systems. Dr. Som’s research is focused on the development of two-phase and reacting flow models for propulsion and manufacturing applications. His team is responsible for developing predictive simulation capabilities for the industry to develop advanced high-efficiency low-emission propulsion systems. Several computational models developed in his team are part of commercial computational codes. Dr. Som’s group further leverages the latest developments in HPC and machine learning to accelerate these high-fidelity simulations. He is a co-founder of Argonne’s Virtual Engine Research Institute and Fuels Initiative (VERIFI) program which is aimed at providing predictive simulations for OEMs. Dr. Som has authored more than 170 journal and peer-reviewed conference papers and 6 book chapters with more than 6000 citations. Dr. Som enjoys working at the interface of fundamental and applied research and is driven to “move the needle” through large multi-institutional programs.
Dr. Som moved to US in 2003 to pursue graduate studies and received his Ph.D. from the University of Illinois at Chicago in 2009. He joined Argonne as a postdoc in January 2010 and currently manages a large group of scientists working on topics ranging from piston engines, gas turbines, energy storage, off-shore wind, external aerodynamics, etc. He is also affiliated with the University of Chicago as a Senior Scientist at the Consortium for Advanced Science and Engineering. In 2018, Dr. Som received “Strategic Laboratory Leadership” training from “The Booth School of Business”. Recently, Dr. Som was recognized by the Society of Automotive Engineers (SAE) as a fellow, and also received ASME George Westinghouse Silver medal for eminent achievement and distinguished service.