CoDe-Mat
Computational Design of
Functional Materials Lab

We are an interdisciplinary research group working at the interface of computational chemistry, materials science, and informatics. Our research focuses on the design and discovery of novel functional materials at scales relevant to applications for energy, environment and healthcare. To achieve this, we design computational workflows integrating electronic structure theory, multiscale simulations, and AI/ML methods.
research
all research areas →AI-guided Workflows for Materials-Discovery and Simulations
Multi-Scale Modelling of Energy Materials
Quantum Computing Applications in Materials
selected publications
all publications →- 2026
A Critical Examination of Active Learning Workflows in Materials Sciencenair2026_1
Digit. Disco. 5, 2366-2382
- 2026
Interpretable Bayesian Optimization for Catalyst Discoverynair2026_2
Faraday Discuss.
- 2025
Materials-Discovery Workflows Guided by Symbolic Regression for Identifying Acid-Stable Oxides for Electrocatalysisnair2025_1
npj Comput. Mater. 11, 1-7
news
all news →- Aug 2026
Akhil joins CSIR-IICT Hyderabad as Scientist-C
- Jul 2026
Attended workshop on general-purpose machine-learned force fields at the University of Luxembourg
- Apr 2026
Invited Talk at the Faraday Discussions by Royal Society of Chemistry in London
- Feb 2026
Participation at the Gordon Research Conference on AI for Materials, Energy, and Chemical Sciences
join us
We're always happy to hear from curious, self-driven people. See open positions and how to apply, and take a look at our group handbook to get a feel for how we work.