IIT Gandhinagar: 15 Years of ExcellenceNews
Research

Anirban Mondal

  1. Faculty
  2. Chemistry

  3. Anirban Mondal

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Anirban Mondal

Assistant Professor, Chemistry

  • BSc (Chemistry Hons): Visva-Bharati University, 2010
  • MS (Materials Science): Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, 2013
  • PhD: Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, 2016

Email: amondal -AT- iitgn.ac.in

Website : http://people.iitgn.ac.in/~anirban/

Office: AB 4/406


  • Selected Publications

    1. A Window to Trap-free Charge Transport in Organic Semiconducting Thin Films. N. B. Kotadiya, Anirban Mondal, D. Andrienko, P. W. M. Blom, and G. A. H. Wetzelaer; Nature Materials, 2019, 18, 1182-1186.

    2. Genetic Algorithm Driven Force Field Parameterization for Molten Alkali-Metal Carbonate and Hydroxide Salts. Anirban Mondal, J. M. Young, T. Barckholtz, G. Kiss, L. Koziol, and A. Z. Panagiotopoulos; Journal of Chemical Theory and Computation, 2020, 16, 5736-5746.

    3. First-Principles Modeling of Transport Mechanisms in Carbonate-Hydroxide Electrolytes. Anirban Mondal, J. M. Young, G. Kiss, and A. Z. Panagiotopoulos; Journal of Physical Chemistry Chemistry C, 2021, 125, 4412-4422.

    4. Predicting Chemical Reaction Equilibria in Molten Carbonate Fuel Cells via Molecular Simulations. J. M. Young, Anirban Mondal, T. Barckholtz, G. Kiss, L. Koziol, and A. Z. Panagiotopoulos; AIChE Journal, 2020, 67, e16988.

    5. Unicolored Phosphor-Sensitized Fluorescence for Efficient and Stable Blue OLEDs. P. Heimel, Anirban Mondal, F. May, W. Kowalsky, C. Lennartz, D. Andrienko, and R. Lovrincic; Nature Communication, 2018, 9, 4990.

  • Work Experience

    • Assistant Professor: Indian Institute of Technology Gandhinagar (Aug 2021 - present)
    • Postdoctoral Associate: University of Luxembourg, Luxembourg (Jan 2021 - Aug 2021)
    • Postdoctoral Research Associate: Princeton University, Princeton, USA (Jan 2019 - Dec 2020)
    • Postdoctoral Fellow: Max Planck Institute for Polymer Research, Mainz, Germany (Oct 2016 - Dec 2018)

Research Interests

  • ● Charge transport in organic semiconductors, excited states, and optoelectronics
  • ● Machine learning techniques to explore the chemical space of organic semiconductors
  • ● Design of efficient host/guest systems for blue organic light-emitting diodes (OLEDs)
  • ● Donor-acceptor materials for organic solar cells
  • ● Machine learning potentials for atomistic modeling of materials
  • ● Proton/ion transport in solid electrolytes

Complete List of Publications