Perovskite single crystal SCLC measurement prediction using a machine learning model
Author:
Affiliation:
1. Solar Cells and Photonics Research Laboratory, School of Chemistry, University of Hyderabad, Hyderabad 500046, Telangana, India
2. School of Computer & Information Sciences, University of Hyderabad, Hyderabad 500046, Telangana, India
Abstract
Funder
Science and Engineering Research Board
Publisher
Royal Society of Chemistry (RSC)
Link
http://pubs.rsc.org/en/content/articlepdf/2024/TC/D4TC01987C
Reference22 articles.
1. Aromatic Additives Boost the Terahertz Properties of Mixed Halide Perovskite Single Crystals
2. CH3NH3PbCl3 Single Crystals: Inverse Temperature Crystallization and Visible-Blind UV-Photodetector
3. Recent advancements and future insight of lead-free non-toxic perovskite solar cells for sustainable and clean energy production: A review
4. Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
5. Machine Learning for Understanding Compatibility of Organic–Inorganic Hybrid Perovskites with Post-Treatment Amines
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1. Correction: Perovskite single crystal SCLC measurement prediction using a machine learning model;Journal of Materials Chemistry C;2024
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