Machine learning-guided search for high-efficiency perovskite solar cells with doped electron transport layers-Reference-Cited by-同舟云学术

Machine learning-guided search for high-efficiency perovskite solar cells with doped electron transport layers

Published:2021 Issue:44 Volume:9 Page:25168-25177
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

She Chenglong¹²^ORCID,Huang Qicheng¹,Chen Cong¹³,Jiang Yue¹,Fan Zhen¹^ORCID,Gao Jinwei¹^ORCID

Affiliation:

1. Institute for Advanced Materials, South China Academy of Advanced Optoelectronics, Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Normal University, Guangzhou 510006, China

2. School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China

3. Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Rd., Pokfulam, Hong Kong, China

Abstract

Efficiencies of perovskite solar cells may be improved to above 28% using Cs-doped TiO2 and S-doped SnO2 electron transport layers, as predicted using a two-step machine learning method.

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China-Guangdong Joint Fund

Guangdong Province Introduction of Innovative R&D Team

Natural Science Foundation of Guangdong Province

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/TA/D1TA08194B

Reference44 articles.