Accelerated Discovery of Potential Organic Dyes for Dye‐Sensitized Solar Cells by Interpretable Machine Learning Models and Virtual Screening-Reference-Cited by-同舟云学术

Accelerated Discovery of Potential Organic Dyes for Dye‐Sensitized Solar Cells by Interpretable Machine Learning Models and Virtual Screening

Published:2020-04-24 Issue:6 Volume:4 Page:2000110
ISSN:2367-198X
Container-title:Solar RRL
language:en
Short-container-title:Sol. RRL

Author:

Wen Yaping¹,Fu Lulu¹,Li Gongqiang²,Ma Jing¹^ORCID,Ma Haibo¹

Affiliation:

1. Key Laboratory of Mesoscopic Chemistry of MOESchool of Chemistry and Chemical EngineeringNanjing University Nanjing 210023 China

2. Key Laboratory of Flexible Electronic (KLOFE)Institute of Advanced Materials (IAM)Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM)Nanjing Tech University (NanjingTech) 30 South Puzhu Road Nanjing 211816 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/solr.202000110

Reference61 articles.

1. Cosensitization in Dye-Sensitized Solar Cells

2. Direct Contact of Selective Charge Extraction Layers Enables High-Efficiency Molecular Photovoltaics

3. Comprehensive control of voltage loss enables 11.7% efficient solid-state dye-sensitized solar cells

4. Dye-sensitized solar cells for efficient power generation under ambient lighting

5. 11% efficiency solid-state dye-sensitized solar cells with copper(II/I) hole transport materials

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