
Dr. Amitabha Das is a Postdoctoral Fellow with Prof. Satoshi Maeda's Research Group at the Institute for Chemical Reaction Design and Discovery (ICReDD), Hokkaido University, Japan.
His research focuses on the computational and machine learning-based mechanistic investigation of chemical reactions and design of molecules and materials, investigation their structure-activity relationships and physical properties, with a particular focus on applications in energy conversion and storage.
Development of optimized methods for molecular modification using a general-purpose virtual molecular model
Developing Machine Learning and Deep Learning methods for high-throughput screening of electrode materials and catalytic systems for energy conversion and storage applications, and supervising PhD students within the group.
Methods: DFT, ML, AIMD and AFIR
Experiences in computational chemistry packages: Gaussian, VASP, ORCA, GPAW and CP2K
Experiences in different computational tools: TD-DFT, NBO, NEB, DIMER, DOS, Packmol, VMD, Multiwfn and IMoS
Machine Language: Python and Linux