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CAREER TRAJECTORY
Argonne National Laboratory, Resident Associate (Center for Nanoscale Materials) 2024-Present
Massachusetts Institute of Technology, Postdoc Associate (Materials Science and Engineering) 2022-2024
Indian Institute of Science, M.S. + Ph.D. (Physics) 2022
Delhi University, B.Sc. Physics (Hons.) 2015
COMPUTATIONAL SKILLS
• Theoretical Techniques: MetaDynamics (MTD) Enhanced Sampling Simulations, Molecular Dynamics (MD), Machine Learning (ML), Artificial Intelligence (AI), Density Functional Theory (DFT), Kinetic Monte Carlo (KMC).
• Simulation packages: LAMMPS, AMBER, GAUSSIAN09, Quantum ESPRESSO, Scikit-Learn, TensorFlow, Chimera, PyMol, VMD, NAMD, GROMACS, VASP, TranSIESTA, Keras.
• Programming Languages: PYTHON, C++, MATLAB, Mathematica, Unix Shell Scripting.
• Large-Scale Simulations: Experienced in handling High-Performing Clusters (HPCs).
SELECTED ORAL PRESENTATIONS
1. ECS Prime 2024, organized by the Electrochemical Society in Honolulu, USA. 2024
2. ACS Fall Meeting 2023 organized by the American Chemical Society in San Francisco, USA. 2023
3. ECS Fall 2023 organized by Electrochemical Society in Boston, USA. 2023
4. APS March Meeting 2020 organized by American Physical Society in Denver, USA. 2020
5. (Invited) Talk at the Department of Physics, Colorado University Boulder, in Prof. Matthew Glaser’s group. 2020
6. (Invited) Talk at the Tata Institute of Fundamental Research in Prof. Ravindra Venkatramani’s group. 2018
CONTACT
Abhishek Aggarwal
Postdoctoral Associate ‖ Sankaranaryanan Group
Center for Nanoscale Materials
Argonne National Laboratory
aaggarwal@anl.gov
Department of Mechanical and Industrial Engineering
University of Illinois