Molecular design and performance improvement in organic solar cells guided by high‐throughput screening and machine learning-Reference-Cited by-同舟云学术

Molecular design and performance improvement in organic solar cells guided by high‐throughput screening and machine learning

Published:2021-03-16 Issue:9 Volume:2 Page:1629-1641
ISSN:2688-4011
Container-title:Nano Select
language:en
Short-container-title:Nano Select

Author:

Feng Jie¹,Wang Hongshuai¹,Ji Yujin¹,Li Youyong¹²^ORCID

Affiliation:

1. Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon‐Based Functional Materials & Devices Soochow University Suzhou Jiangsu China

2. Macao Institute of Materials Science and Engineering Macau University of Science and Technology, Taipa, Macau SAR Macau China

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Higher Education Discipline Innovation Project

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nano.202100006

Reference111 articles.

1. Two‐layer organic photovoltaic cell

2. A Series of Simple Oligomer-like Small Molecules Based on Oligothiophenes for Solution-Processed Solar Cells with High Efficiency

3. Organic and solution-processed tandem solar cells with 17.3% efficiency

4. Promoting charge separation resulting in ternary organic solar cells efficiency over 17.5%

5. Single‐Junction Organic Photovoltaic Cells with Approaching 18% Efficiency

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