- Quantum Mechanics/Machine Learning Approach
- Catalyst: Theory
- Carbon and Boron Based Materials
Experience top of the world living and learning at SRM University-AP
+91-863-2343000
080-6988-6999
Email: admissions@srmap.edu.in
SRM University, Andhra Pradesh
Neerukonda, Mangalagiri Mandal, Guntur District, Mangalagiri, Andhra Pradesh 522240
Prof. Ranjit Thapa is designated as Dean-Research of SRM University-AP and a full-time professor in the Department of Physics, SRM University-AP. Prof. Ranjit, is actively involved in fostering a thriving research ecosystem at SRM University-AP, providing valuable insights on maintaining a harmonious balance between academics and research within the university system. Prof. Ranjit has researched Computational Material Science technologies for the past fourteen years. He received the Young Associate Award in 2016 from the Indian Academy of Science, Bangalore, for his outstanding research in Computational Materials Science. He was also chosen for BRNS’ Young Scientist’s Research Award (YSRA) in 2018. He was awarded the Best Researcher Award 2020 by SRM university-AP. He received the Outstanding Teachers Award in 2023 from SRM University-AP. He has published more than 160 research articles in highly reputed international journals. His current h-index is 35, with a total citation of more than 4200. Currently, he is developing a “Materials Database” under the funded projects. He has mentored eight PhD students to date. In 2016, under his leadership, SRM Institute of Science and Technology established a High-performance Computer Centre on the Chennai campus. Similarly, in 2022, He was pivotal in establishing a High-performance Computer Centre at SRM University-AP.
Prof. Ranjit’s research endeavours primarily revolve around the application of First-principles theory in investigations. Some of my notable contributions include the development of the "electronic and structural descriptor," a "Simple Graphical Construction" for identifying optimal catalysts for eNRR and CO2RR, the elucidation of the "Bond Exchange Spillover Mechanism”. The findings from these studies have been published in esteemed journals such as CARBON, Chemical Science, PNAS, Advanced Functional Materials, ACS Nano, Nano-Micro Letters, Journal of Materials Chemistry A, Inorganic Chemistry, Chemical Engineering Journal, Applied Catalyst B: Environmental, ACS Sustainable Chemistry & Engineering, Journal of Power Sources, Advanced Materials Technology, SMALL, Nano Energy, ACS Applied Materials & Interfaces, ACS Catalysis, and Nature Communications.
His visionary leadership as the member and Chairperson of different committees, Dean i/c - School of Engineering and Sciences & Dean Research and admin from school to university level fosters a collaborative learning environment. Prof. Ranjit was also involved in several initiatives on recruitment, policy-making, faculty performance management system, revamping of curriculum, admission, placement and examination issues, signing of MoUs, etc.
SRM-Supercomputer Center: Faculty In-charge (2014-2019), takes part from scratch to establish the facility at SRM IST.
https://www.srmist.edu.in/hpcc/
SRM IST has setup a High Performance Computer Cluster (HPCC), called SRM-HPCC for catering to intensive computational tasks in numerous research areas, which would essentially be spearheaded by the SRM Research Institute. SRM-HPCC is currently based on 73 compute nodes (CN), A total of 1870 CPU cores with 16 TB RAM and Infiniband QLogic IB QDR 36 Port switch for interconnecting nodes are aimed at strengthening the computational capability of SRM IST in a large manner. The total servers are about 72 teraflop.
Title: Highly Stable Ruthenium Single-Atom Catalysts on Fe3O4/MWCNTs for Hydrogen Evolution Reaction
Investigators: Nagaraju D Dh, Shwetha K R, Shivanna M, Ranjit Thapa, Samadhan Kapse
Country of Filling: India
Indian Patent Application No – 202241006087, Journal Number: 23/2022
Title: Ruthenium Clusters on Iron Oxide/MWCNTs Catalysts -Method of Preparation and their Hydrogen Evolution Reaction Application
Investigators: REVA University, Ranjit Thapa, Samadhan Kapse, Shivanna M, Shwetha K R, Dr Nagaraju D
Country of Filling: India
Indian Patent Application No – 202241006087
Filling Date: – 04/02/2022
Published Date: – 10/06/2022
Title: Tarnish resistant silver composition and a process for its preparation
Investigators: Goarke Sanjeeviah Vinod Kumar, Kozhakkattil Harsha, Thapa, Ranjit
Country of Filling: India
Indian Patent Application No – 202341002950
Date: – 4/01/2023
S.No. | Title | Sponsoring Agency and Officer Concerned | Period | Amount (In Lakhs) |
---|---|---|---|---|
1 | Dioxygen reduction using low dimensional materials in the energy generation/ storage device: first principles study, SB/FTP/PS028/2013 Role: PI |
YSS-DST-SERB | March 2014- March 2017 (Completed) |
14.04 |
2 | Development of Electrode Materials for High Energy Density Lithium ion Batteries and Computational Studies of Solar Absorber layers Role: Computational Part Investigator |
MNRE | May 2016- Sep 2019 (Completed) |
1117 |
3 | Mechanistic of CO Oxidation on Metal Free Catalyst and Property Package | EMR-SERB | August 2017-February 2021 | 35.45 |
4 | First principles identification of descriptor for carbon based catalyst Role- PI | YSS-BRNS | August 2018 – (ongoing) | 28.15 |
5 | Catalysts for CO2 Reduction to C2 Product: Descriptor to Database Role- PI | National Supercomputer Mission, DST-MeITy | March 2021 – March 2023 (completed) | 48.02 |
6 | Design Principle of Single-Atom Catalyst for Nitrogen Fixation over HER: Energy Parameter, Electronic Descriptor and Database Role- PI | Core Research Grant, Science and Engineering Research Board | March 2022 - March 2025 | 30.9 |
7 | General descriptor of catalysts to find the activity towards OER using Quantum Mechanics/Machine Learning approach Role – PI | CRG-SERB | March 2023- March 2026 (Ongoing) | 20.46 Lakhs |
8 | Catalysts for CO2 Reduction to C2 Product: Descriptor to Database Phase II Role- PI |
National Supercomputer Mission, DST-MeITy | April 2023 – March 2024 (ongoing) | 23.00 Lakhs |
9 | Prediction of low dimensional electrocatalysts for NRR using QM/ML approach | DAE-Board of Research in Nuclear Sciences | Nov 2023- Oct 2026 (Ongoing) |
38.00 Lakhs |