A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency-Reference-Cited by-同舟云学术

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A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency

Published:2025 Issue:28 Volume:49 Page:12129-12139
ISSN:1144-0546
Container-title:New Journal of Chemistry
language:en
Short-container-title:New J. Chem.

Author:

De Sarkar Pratik¹,Kar Subhajit¹,De Debashis²,Ghosh K. K.¹

Affiliation:

1. Institute of Engineering & Management, Kolkata University of Engineering and Management, Kolkata, West Bengal, India

2. Department of Computer Science and Engineering, Centre of Mobile Cloud Computing, Maulana Abul Kalam Azad University of Technology, West Bengal, India

Abstract

The hybrid GIPSO-RFR model efficiently predicts PSC structures, reducing computational cost and optimizing device performance with near state-of-the-art power conversion efficiency.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2025/NJ/D5NJ00345H

Reference58 articles.

1. Efficient and Stable Perovskite Solar Cells by Tailoring of Interfaces

2. Review of current progress in hole-transporting materials for perovskite solar cells

3. Universal Machine Learning Kohn–Sham Hamiltonian for Materials

4. Establishing the limits of efficiency of perovskite solar cells from first principles modeling

5. Solvent engineering for the formation of high-quality perovskite films:a review

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