S
Soumitra Satapathi
Researcher at Indian Institute of Technology Roorkee
Publications - 110
Citations - 1614
Soumitra Satapathi is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Perovskite (structure) & Chemistry. The author has an hindex of 15, co-authored 67 publications receiving 640 citations. Previous affiliations of Soumitra Satapathi include Indian Association for the Cultivation of Science & University of Massachusetts Lowell.
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Recent progress in morphology optimization in perovskite solar cell
Naveen Kumar Tailor,Mojtaba Abdi-Jalebi,Vinay Gupta,Hanlin Hu,M. Ibrahim Dar,Gang Li,Soumitra Satapathi +6 more
TL;DR: In this paper, a review of perovskite-based solar cells is presented, focusing on the recent progress in morphology optimizations by various processing conditions such as annealing condition, additive effects, Lewis acid base adduct approach, precursor solution aging and post-device ligand treatment emphasizing on grain sizes, film uniformity, defect passivation, ambient compatibility and device efficiency and stability.
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A comprehensive review on synthesis and applications of single crystal perovskite halides
Sandeep Arya,Prerna Mahajan,Ramashanker Gupta,Ramashanker Gupta,Ritu Srivastava,Naveen Kumar Tailor,Soumitra Satapathi,R. Radhakrishnan Sumathi,Ram Datt,Vinay Gupta +9 more
TL;DR: In this article, the authors present the deep insight into all the reported protocols available for the synthesis of purely inorganic as well as hybrid halide perovskites (incorporating organic and inorganic cation) to achieve high quality single crystals.
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Advances in Lead-Free Perovskite Single Crystals: Fundamentals and Applications
Naveen Kumar Tailor,Shaoni Kar,Pranjal Mishra,Albert These,Christian Kupfer,Hanlin Hu,Muhammad Awais,Makhsud I. Saidaminov,M. Ibrahim Dar,Christoph J. Brabec,Soumitra Satapathi +10 more
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Multimodal Fluorescent Polymer Sensor for Highly Sensitive Detection of Nitroaromatics.
TL;DR: The synthesis and multimodal sensing applications of an emissive alanine based dansyl tagged copolymer P(MMA-co-Dansyl-Ala-HEMA) (DCP), synthesized by RAFTCopolymerization, which exhibited high sensitivity and selectivity towards conventional nitroaromatic explosives such as DNT, TNT and TNP in solution and with saturated vapor of NACs.
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Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking.
Sovesh Mohapatra,Prathul Nath,Manisha Chatterjee,Neeladrisingha Das,Deepjyoti Kalita,Partha Pratim Roy,Soumitra Satapathi +6 more
TL;DR: The ML model based on the Naive Bayes algorithm has an accuracy of around 73% to predict the drugs that could be used for the treatment of COVID-19, and it is found that 3 of the drugs fulfils the criterions well among which the antiretroviral drug Amprenavir (DrugBank ID–DB00701) would probably be the most effectiveDrugs.