“The key to pursuing excellence is to embrace an organic, long-term learning process, and not to live in a shell of static, safe mediocrity. Usually, growth comes at the expense of previous comfort or safety.”
Saurabh S. Sawant
I am a postdoctoral scholar in the Center for Computational Sciences and Engineering (CCSE) in the Applied Math & Computational Research Division at the Lawrence Berkeley National Lab (LBNL) since January 2022.
At LBNL, I am developing exascale electrostatic - quantum transport solver for modeling next-generation nanoscale field effect transistors. I also contribute to the development of software stack for applications in microelectronics and quantum circuits.
I earned my Ph.D. in the Aerospace Engineering from the University of Illinois Urbana-Champaign (UIUC) with a strong focus on high-performance computing.
During Ph.D., I developed massively scalable software for solving the Boltzmann Transport equation using the Direct Simulation Monte Carlo method for studying instabilities in hypersonic flows. I also developed scalable software for implementing data-driven methods such as proper orthogonal and dynamic mode decomposition, and solving eigenvalue problems arising from the linear stability analysis.
2023 Highlights
June 2023: We recently presented our on-going code development for an exascale Electrostatic-Quantum Transport framework in the International Workshop on Computational Nanotechnology (IWCN) 2023 (https://iwcn2023.uab.es/program.html).
Github link to the code repo: https://github.com/AMReX-Microelectronics/eXstatic
March 2023: At the APS March meeting in Las Vegas, presenting our on-going work on the development of Electrostatic-Quantum Transport framework for modeling Carbon Nanotube Field Effect Transistors for photon detection application.
Feb. 2023: Participated in the Fourth CS-Area Postdoc Symposium at LBNL.
Jan. 2023: Published first my journal paper during my postdoctoral studies:
Sawant, S. S., Yao, J., Jambunathan, R., & Nonaka A. (2023) Characterization of transmission lines in microelectronic circuits using the ARTEMIS solver. IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 8, pp. 31-39.
2022 Highlights
May 2022: Earned my Ph.D. in the Aerospace Engineering from the University of Illinois Urbana-Champaign.
March 2022: Published my first JFM paper.
Sawant, S. S., Theofilis, V., & Levin, D. A. (2022) On the synchronisation of three-dimensional shock layer and laminar separation bubble instabilities in hypersonic flow over a double wedge. Journal of Fluid Mechanics, 941, A7.
Jan 2022: Started my postdoctoral studies in the Center for Computational Sciences and Engineering at the Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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