Predicting the photocurrent–composition dependence in organic solar cells-Reference-Cited by-同舟云学术

Predicting the photocurrent–composition dependence in organic solar cells

Published:2021 Issue:2 Volume:14 Page:986-994
ISSN:1754-5692
Container-title:Energy & Environmental Science
language:en
Short-container-title:Energy Environ. Sci.

Author:

Rodríguez-Martínez Xabier¹²³⁴^ORCID,Pascual-San-José Enrique¹²³⁴,Fei Zhuping⁵⁶⁷⁸⁹^ORCID,Heeney Martin⁵⁶⁷⁸⁹^ORCID,Guimerà Roger¹⁰¹¹¹²¹³⁴^ORCID,Campoy-Quiles Mariano¹²³⁴^ORCID

Affiliation:

1. Institut de Ciència de Materials de Barcelona

2. ICMAB-CSIC

3. Bellaterra

4. Spain

5. Department of Chemistry and Centre for Plastic Electronics

6. White City Campus

7. Imperial College London

8. London W12 0BZ

9. UK

10. Institució Catalana de Recerca i Estudis Avançats

11. ICREA

12. Passeig de Lluís Companys 23

13. Barcelona

Abstract

High-throughput experimental screening and machine-learning algorithms are implemented in a synergic workflow to predict the photocurrent phase space of organic photovoltaic blends. We identify accurate models employing only the materials band gaps.

Funder

H2020 European Research Council

Ministerio de Ciencia e Innovación

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Environmental Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/EE/D0EE02958K

Reference35 articles.

1. Organic Photovoltaics over Three Decades

2. Non-fullerene acceptors for organic solar cells