- Quantum Mechanics/Machine Learning Approach
- Catalyst: Theory
- Carbon and Boron Based Materials
Experience top of the world living and learning at SRM University-AP
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Email: admissions@srmap.edu.in
SRM University-AP, Neerukonda,
Mangalagiri Mandal, Guntur District, Andhra Pradesh - 522240
Prof. Ranjit Thapa currently serves as the Dean-Research and a Full Professor in the Department of Physics at SRM University-AP, where he plays a pivotal role in fostering the university's research ecosystem. He has provided strategic insights on maintaining a balance between academics and research within the university system.
Prof. Thapa's research focuses on Computational Materials Science, a field he has been deeply engaged in for over a decade. In recognition of his contributions, he received the Young Associate Award (2016) from the Indian Academy of Sciences, Bangalore, and the Young Scientist Research Award (2018) from BRNS for his outstanding work in this area.
To date, Prof. Thapa has published over 190 research articles in prestigious international journals, with an average impact factor of 8.1. His research has garnered more than 6,000 citations, resulting in an h-index of 42. He has successfully guided nine Ph.D. students and contributed to 12 R&D projects worth ₹16 Crores. Additionally, he holds two published patents and one granted patent in his name.
Currently, Prof. Thapa is leading the development of a Materials Database (accessible at [http://energymaterials.org:3000/]), supported by funded projects. Under his leadership, High-Performance Computing (HPC) Centers were established at SRMIST, Chennai in 2016 (80 TeraFlops) and SRM University-AP>, Amaravati in 2022 and 2024 (270 TeraFlops), significantly advancing the research capabilities at SRM.
His research primarily focuses on first-principles theory-based investigations, with key contributions in areas such as:
Prof. Thapa has published extensively in high-impact journals, including:
These publications highlight significant advancements in catalysis and computational material science, contributing to the broader understanding of sustainable and innovative materials.
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.
Under his leadership between 2022 and 2024, SRM University-AP established a state-of-the-art High-Performance Computing Cluster (HPCC) equipped with 5 GPU nodes and 42 CPU nodes. This robust system delivers a total computing power exceeding 270 TeraFLOPS, significantly enhancing the university’s computational capabilities for advanced research and innovation.
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
Indian Patent Application No – 202241006087
Filling Date: 04/02/2022
Published Date: 10/06/2022
Title: Quest for iron effect: NiCo2S4 spinel sulfide phase transition influence on electro-catalytic splitting reaction application
Authors list: Dr Nagaraju D H, Mr. Shivakumar P, Dr Ranjit Thapa, Mr Narad Barman, Mr Sourav Ghosh, Dr Srinivasa budagumpi, Dr Shubhankar Kumar Bose, REVA University
Indian Patent Application No – 202441058572
Published Date: 09/08/2024
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 Role: PI SB/FTP/PS028/2013 |
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 31/03/2014-15/PVSE-R&D |
MNRE | May 2016- Sep 2019 (Completed) |
1117 |
3 | Mechanistic of CO Oxidation on Metal Free Catalyst and Property Package Role: PI EMR/2016/004689 |
EMR-SERB | August 2017-February 2021 (Completed) |
35.45 |
4 | First principles identification of descriptor for carbon based catalyst Role: PI 37(2)/20/14/2018-BRNS/37144 |
YSS-BRNS | August 2018 – August 2021 (Completed) | 28.15 |
5 | Catalysts for CO2 Reduction to C2 Product: Descriptor to Database Role: PI DST/NSM/R&D_HPC_Applications/2021/19 |
National Supercomputer Mission, DST-MeITy | March 2021 – March 2023 (completed) | 48.02 |
6 | Catalysts for CO2 Reduction to C2 Product: Descriptor to Database Phase II Role: PI DST/NSM/R&D_HPC_Applications/Extension Grant/2023/26 |
National Supercomputer Mission, DST-MeITy | April 2023 – March 2024 (Completed) | 23.00 Lakhs |
7 | Finding Low-Dimensional Catalysts For CO2ER and OER/NRR Using QM/ML Approach Role: PI 2024/12/1024 |
CDAC | April 2024- Dec 2024(Completed) |
46 Lakhs (eMoney) For Supercomputer Charge |
8 | Design Principle of Single-Atom Catalyst for Nitrogen Fixation over HER: Energy Parameter, Electronic Descriptor and Database Role: PI CRG/2021/000620 |
CRG-SERB | March 2022 - March 2025 (Ongoing) | 30.9 |
9 | General descriptor of catalysts to find the activity towards OER using Quantum Mechanics/Machine Learning approach Role: PI CRG/2022/005423 |
CRG-SERB | March 2023- March 2026 (Ongoing) | 20.46 |
10 | Prediction of low dimensional electrocatalysts for NRR using QM/ML approach Role: PI 58/14/06/2024-BRNS/126 |
DAE-BRNS | June 2024- June 2027 (Ongoing) | 26.91 |
11 | Role of Oxygen Vacancies in Hematene and iImenene towards Nitrogen Reduction Reaction: Descriptor to Database Role: PI CRD/2024/000716 |
ASEAN-MEA, ANRF | Jan 2024 – Jan 2026 (Ongoing) | 38.79 |
12 | FIST- Department of Physics, 2024 SR/FST/PS-I/2024/306 Role: Co-PI |
DST-FIST | Jan 2024 – Jan 2029 (Sanctioned) | 169 |