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ACS Omega
(Oct 2021)
Analysis and Prediction of Hydrothermally Synthesized ZnO-Based Dye-Sensitized Solar Cell Properties Using Statistical and Machine-Learning Techniques
Santosh S. Sutar,
Suvarna M. Patil,
Sunil J. Kadam,
Rajanish K. Kamat,
Deok-kee Kim,
Tukaram D. Dongale
Affiliations
Santosh S. Sutar
Yashwantrao Chavan School of Rural Development, Shivaji University, Kolhapur, India
Suvarna M. Patil
Institute of Management, Bharati Vidyapeeth Deemed to be University, Sangli, India
Sunil J. Kadam
Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, India
Rajanish K. Kamat
Department of Electronics, Shivaji University, Kolhapur, India
Deok-kee Kim
Department of Electrical Engineering, Sejong University, Seoul, South Korea
Tukaram D. Dongale
Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology, Shivaji University, Kolhapur, India
DOI
https://doi.org/10.1021/acsomega.1c04521
Journal volume & issue
Vol. 6, no. 44
pp. 29982 – 29992
Abstract
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No abstracts available.
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