Computational Molecular Research Laboratory

Department of Chemical Engineering
Indian Institute of Technology Jodhpur, India

About CMRL

We are a computational research group in the Department of Chemical Engineering, Indian Institute of Technology Jodhpur. We work at the interface of chemistry, biology, materials science and chemical engineering taking advantages of concepts from different disciplines for handling interesting scientific problems. In the words of Professor Gregory Ryskin, "the research interests of the group keep evolving". Equipped with high performance computing clusters, we are currently interested in developing molecular level insights into chemical and biological phenomena using first-principles quantum chemical calculations. A brief description of our research interests can be found below and the details of the latest activities can be found in our Research page. We will be happy to hear from you should you have any query regarding our research.

Lab Research Philosophy

"A scientist does not study nature because it is useful to do so. He studies it because he takes pleasure in it, and he takes pleasure in it because it is beautiful" - Henri Poincaré

The research undertaken by the group has a common underlying inspiration beautifully expressed by Henri Poincaré in the above quote. We strive to rigorously use the principles of quantum chemistry to understand interesting nature of the nature. The real world or industrial realisation of several of the systems studied by us may not be obvious, but we believe that they can, in principle, serve as a good starting point for dynamic researchers to think in the right direction.


The CMRL Team

Know the CMRL team...
and what they are engaged in currently...

Parag A. Deshpande

PAD advises the research group. He is a professor in the Department of Chemical Engineering. Click here to know more about him.

Ranvijay Singh

Ranvijay is looking forward to rationally improve the catalyst composition for biomimetic action of transition metal alloys for CO2 capture using DFT.

Shalu Yadav

Shalu is developing DFT calculations of 2-D materials exploring their utility as support materials for catalysis.

Kaushik Sachan

Kaushik aims to develop understanding of the behaviour of small transition metal clusters for potential gas-solid catalytic applications.

You can be here!

With a keen interest in computational research and readiness to devote quality time towards doctoral studies, you can find your place here

Our doctoral alumni

Manjusha C. Padole

Manjusha used DFT calculations to develop structure-property relations in ceria and fullerene-based catalysts

Subrahmanyeswara Rao

Subramaniam worked towards developing mechanistic insights into OPRTase action using QM/MM methods

Manju Verma

Manju worked on computational screening of biomimetic catalysts for carbon dioxide hydration

Sai Phani Kumar

Sai used DFT to demonstrate the effect of crystal planes and vacancies in substituted oxide catalysts

Pentyala Phanikumar

Phani worked towards developing structure-property relationships in rare-earth oxide catalysts using DFT

Shashi Kumar

Shashi worked towards protein engineering of SazCA using ML, MD and QM/MM methods

Prasad Reddy

Prasad's DFT calculations revealed catalytic properties of small-atom Pd clusters for Suzuki coupling

Ankita Agarwal

Working jointly with Professor R. Bahadur, Ankita worked on ML and MD analysis of RNA binding proteins

Saroj Kumari

Saroj worked towards developing finer details on suface catalysis for Ni for biomimetic CO2 capture using DFT

Swayam Prabha Misra

Swayam Prabha worked extensively towards developing computational models for geopolymers and their catalytic activities

Our Research

Know what we do 24X7...
and why we do that...

Computational Biomolecular Research

CMRL is interested in developing a molecular level understanding of mechanistic aspects of enzyme catalysed reactions. DFT and QM/MM calculations are being employed by the group to obtain potential energy surfaces of enzyme catalysed reactions. Systems of current interest to the group include those playing key roles in disease dynamics and biological carbon capture. We have also utilised machine learning for understanding the high temperature stability of thermostable proteins. We intend to develop protocols for improvement of thermostability of proteins involved in carbon capture. Please visit our Research page for more information.



Computational Catalysis and Materials Research

CMRL is engaged in developing rationale behind the working of heterogeneous catalytic systems. We achieve this by DFT description of catalytic surfaces thereby providing energetics of catalytic surface reactions. The group is also interested in developing structure-property relationships of catalytic materials to gain better insights into working of heterogeneous catalysts enabling rational catalyst design. The current catalytic systems of interest include high oxygen storage capacity inorganic oxides and nanoscale carbon structures, and the reactions of interest include catalytic carbon dioxide hydration and certain organic reactions. Please visit our Research page for more details.


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