I am currently working as an Institute postdoctoral-equivalent fellow at the Indian Institute of Technology Madras. My research interest is materials for energy and the environment. I am an interdisciplinary researcher who works on materials selection, designing, and performance prediction for energy applications.
EDUCATION
Ph.D. (Materials for energy storage) Indian Institute of Technology Madras, Chennai 8.62 2022*
M.Tech (Nanotechnology) VIT University, Vellore 8.64 2017
B.Tech(Electronics & Communication) Kalyani Govt. Engineering College (WBUT) 8.21 2014
XII Kalyani University Experimental High School 90% 2010
X Kalyani University Experimental High School 92.75% 2008
RESEARCH INTERESTS
• Material informatics (data science for material research)
• Energy storage devices (lab scale to product development)
• Computational material designing and performance prediction
• Nanomaterials for energy-related applications (storage and conversion)
• Sustainable energy solution
Optimization of electrolytes for enhanced performance of MnFe2O4 nanoparticles-based supercapacitor electrode Barkha Rani, Sourav Ghosh Physica Scripta, 2025 Fine-tuning both material design and electrolyte interactions is crucial in the race to develop next-generation supercapacitors. Here, we unveil a solvothermal route to engineer MnFe2O4 nanoparticles (NPs) with tailored electrochemical properties. Structural and morphological analyses confirm the formation of well-defined MnFe2O4 NPs, primed with abundant electroactive sites for superior charge storage. When tested in 3.5 M KOH, these NPs delivered a specific capacitance of 817 F g−1 at 2.5 A g−1. Comparative studies with LiOH, NaOH, and KOH showed that ionic mobility strongly influences performance with K+ enabling fastest ion transport and superior charge storage. XPS analysis confirmed Mn2+ and Fe3+ oxidation states, linking surface chemistry to electrochemical behavior. An asymmetric device with activated carbon as the negative electrode and MnFe2O4 NPs as the positive electrode delivered 320 mF g−1 at 0.07 A g−1, retained 185 mF g−1 at 0.13 A g−1, and achieved an energy density of 87 mWh kg−1 at a power density of 363 W kg−1. The device maintained ~72% of its capacitance after 7500 cycles. These results highlight the combined effect of controlled NP synthesis and electrolyte optimization in achieving stable, high-performance supercapacitors suitable for practical energy storage applications.
Temperature-Dependent Performance Analysis of Battery-Supercapacitor Hybrid Energy Storage Systems C. Noor Mohammad, B. Narashimha Murthy, H. Mohammed Shareef, Sourav Ghosh Icdcs 2024 2024 7th International Conference on Devices Circuits and Systems, 2024 Hybrid energy storage systems (HESS) are the key to achieving a high power-high energy regime in the Ragone plot. This work investigates the efficiency of a battery-supercapacitor HESS by employing a comprehensive comparative analysis of various battery models, including (lead acid, lithium-ion, nickel-cadmium, etc.). The work aims to understand the effect of temperature on several relevant parameters, especially state-of-charge (SOC) and power requirements. The first phase of this work involves a meticulous comparison of different battery models. The results provided a basis for selecting optimal battery candidates for further study, and the Li-ion battery was deemed the best choice. Subsequently, the study delves into the impact of temperature variations on the hybrid systems' SOC, required power and overall efficiency. Key outcomes of the study suggest that (i) in battery and supercapacitor, SOC degrades to 45% and 69% at 100 °C, respectively, and (ii) an increase in power input to a system can result in rapid temperature rise. Overall, through a systematic simulation-based approach, the research elucidates the temperature-dependent behaviors of the hybrid system, shedding light on the thermal management strategies required for maintaining optimal performance across a temperature range.