Snehangshu Mishra

About

I am a researcher specializing in the intersection of machine learning, device simulation, and experimental fabrication of perovskite-based photovoltaic and optoelectronic devices. I completed my PhD from the School of Energy Science and Engineering, IIT Kharagpur, where my thesis focused on machine learning-driven design and development of indoor perovskite solar cells, achieving experimental indoor power conversion efficiencies exceeding 25% under LED illumination.
Currently, I am working as a Project Scientist at NCFlexE, IIT Kanpur, on flexible OLED devices for smart packaging applications, with a focus on gravure and flexographic printing of functional layers.
My academic journey began at Jadavpur University, where I earned a Bachelor's degree in Electrical Engineering and a Master's degree in Energy Science and Technology.
With around 16 publications, an h-index of 12, and over 50 peer reviews across 15 journals, I also serve on the Editorial Board of the Springer Nature book series Physical Chemistry in Action and as Topic Coordinator for a Frontiers Research Topic on perovskite-based sustainable energy technologies.
My broader research interests span flexible and indoor photovoltaics, printed electronics, materials informatics, and IoT energy harvesting.

Employment

• Indian Institute of Technology Kanpur Project Scientist
  2026 - Present
• Indian Institute of Technology Kharagpur Senior Research Fellow
  2019 - Present

Education

• IIT Kharagpur PhD
  2019 - 2026
• Jadavpur University MASTER OF TECHNOLOGY
  2016 - 2018
• Jadavpur University BACHELOR OF ENGINEERING
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Improved Performance and Moisture Stability of Interface-Engineered Perovskite Solar Cells with the TOP-3 Hole-Transporting Material
  ACS Applied Energy Materials 2025 DOI: 10.1021/acsaem.5c00525
  +Save
• Unveiling of cost-effective non-noble binary metal selenide-decorated graphene oxide composite electrode for high-performance electrochemical and photoelectrochemical water splitting
  International Journal of Hydrogen Energy 2024 DOI: 10.1016/j.ijhydene.2024.05.041
  +Save
• Thermal Stability Analysis of Formamidinium–Cesium‐Based Lead Halide Perovskite Solar Cells Fabricated under Air Ambient Conditions
  Energy Technology 2024 DOI: 10.1002/ente.202400034
  +Save
• Graphene‐Based Electrocatalytic Materials Toward Electrochemical Water Splitting
  Electrocatalytic Materials for Renewable Energy 2024 DOI: 10.1002/9781119901310.ch9
  +Save
• Machine Learning Guided Strategies to Develop High Efficiency Indoor Perovskite Solar Cells
  Advanced Theory and Simulations 2024 DOI: 10.1002/adts.202301193
  +Save
• Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives
  Energy Technology 2023 DOI: 10.1002/ente.202300735
  +Save
• Machine learning-assisted design of wide bandgap perovskite materials for high-efficiency indoor photovoltaic applications
  Materials Today Communications 2023 DOI: 10.1016/j.mtcomm.2023.106376
  +Save
• Machine Learning Guided Roadmap for High Efficiency Indoor Perovskites Solar Cells
  SSRN 2023 DOI: 10.2139/ssrn.4423802
  +Save
• Role of Antisolvent Temperature and Quaternary Ammonium Cation-based Ionic Liquid Engineering on the Performance of Perovskite Solar Cell Processed Under Air Ambient Conditions
  Energy Advances 2023 DOI: 10.1039/d3ya00065f
  +Save
• Perovskite Solar Cells: Assessment of the Materials, Efficiency, and Stability
  Catalysis Research 2022 DOI: 10.21926/cr.2204033
  +Save