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Research Interests

Computational catalysis, electrochemical energy conversion, and data-driven materials design. Employing density functional theory (DFT), ab initio molecular dynamics, and machine-learning-based force fields (MLFFs) to elucidate reaction energetics, active-site dynamics, and interfacial chemistry in electrocatalysts, membranes, and solid-electrolyte systems. Integrating multiscale modelling and ML potentials to bridge atomistic mechanisms with experimentally validated performance, enabling the rational design of metal–nonmetal based heterostructured materials for next-generation fuel cells, batteries, and sustainable energy conversion and chemical transformation technologies.

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Keywords

  • QD Chemistry
  • Computational Chemistry
  • Materials Science
  • Electrochemistry
  • Density Functional Theory
  • MLFFs
  • TP Chemical technology
  • HER/OER/ORR
  • CO2RR
  • NRR

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

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Collaborations and top research areas from the last five years

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