Journal: Frontiers in Physics
Bio
Before joining ORNL, Soumendu Bagchi was a Postdoctoral Research Associate in the Theoretical division (T-1) at Los Alamos National Laboratory (LANL) working on scale-bridging atomistic simulations to study material behavior at the extremes with a focus on Exascale and AI/ML-driven computational materials modeling approaches. In particular, Soumendu's research interests include the following:
Data-driven and mechanistic upscaling of atomic scale dynamics to mesoscales
Accelerated and scalable workflows for materials discovery
Out-of-equilibrium phenomena due to defects at the surfaces and interfaces of nanostructures
Developing autonomous platforms to enable simulation-guided digital twins for materials discovery in self-driving laboratories.
Awards
March 2024 to May 2024
Visiting Scholar Data-Driven Materials Informatics program, Institute of Mathematical and Statistical Innovation, University of Chicago.
August 2023
Fellow, Argonne Training Program in Extreme-Scale Computing, ATPESC 23
March 2023 to June 2023
Junior Resident Fellow New Mathematics for the Exascale: Applications to Materials Science program, Institute of Pure and Applied Mathematics, UCLA
May 2022
Rising Stars in Aerospace selected by CU Boulder, MIT AeroAstro, Stanford and Penn State
April 2020
Kenneth Lee Herrick Memorial Award for outstanding academic and research performance, Department of Aerospace Engineering, University of Illinois at Urbana-Champaign
April 2019
Outstanding Graduate Student Award, Department of Aerospace Engineering, University of Illinois at Urbana-Champaign
August 2018
Computational Science and Engineering (CSE) Fellowship, National Center for Supercomputing Applications (NCSA)