Dopamine Dopes the Performance of Perovskite Solar Cells

F Fatemeh Ansari L Likai Zheng (Institut des Sciences et Ingenierie Chimiques) L Lukas Pfeifer F Felix T. Eickemeyer (Laboratory of Photonics and Interfaces, Institute of Chemical Sciences and Engineering) S Shaik Mohammed Zakeeruddin N Nikolaos Lempesis V Virginia Carnevali A Andrea Vezzosi V Vladislav Slama T Tristan Georges (Laboratory of Magnetic Resonance, Institut des Sciences et Ingénierie Chimiques) U Ummugulsum Gunes (Institut des Sciences et Ingenierie Chimiques) L Lyndon Emsley (Laboratory of Magnetic Resonance, Institut des Sciences et Ingénierie Chimiques) M Mohammad Khaja Nazeeruddin U Ursula Rothlisberger P Paul J. Dyson M Michael Grätzel

Abstract

AbstractThe electron transport layer (ETL) is a crucial component of perovskite solar cells (PSCs) as it greatly influences their photovoltaic performance. Among various currently used ETL materials, SnO₂ stands out due to its unique advantages, including low‐temperature fabrication and rapid electron extraction capability and excellent energy match of its conduction band edge with that of the commonly used perovskite formulations. However, the currently employed SnO₂ layers contain surface defects, such as hydroxyl groups and oxygen vacancies that impair the desired growth of highly crystalline and defect less perovskite films during solution processing of n‐i‐p type PSCs reducing their power conversion efficiency (PCE) and stability. Here, a self‐assembled monolayer (SAM) is introduced of dopamine hydrochloride (DACl) on the SnO2 film, whose catechol moiety adheres strongly to the SnO2 surface, while its methylammonium groups template the growth of the perovskite layer. Introducing the dopamine SAM at the interface between the ETL and the perovskite increases substantially the solar‐to‐electric PCE while greatly enhancing the PSC stability. This findings demonstrate the surprising benefits of this well‐known neurotransmitter for the photovoltaic performance of PSCs which this is rationalized here by DFT and ab initio molecular dynamics calculations.

Article Details

Volume / Issue Vol. 37, Issue 33
Published August 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (16)

F

Fatemeh Ansari

L

Likai Zheng

Institut des Sciences et Ingenierie Chimiques

L

Lukas Pfeifer

F

Felix T. Eickemeyer

Laboratory of Photonics and Interfaces, Institute of Chemical Sciences and Engineering

S

Shaik Mohammed Zakeeruddin

N

Nikolaos Lempesis

V

Virginia Carnevali

A

Andrea Vezzosi

V

Vladislav Slama

T

Tristan Georges

Laboratory of Magnetic Resonance, Institut des Sciences et Ingénierie Chimiques

U

Ummugulsum Gunes

Institut des Sciences et Ingenierie Chimiques

L

Lyndon Emsley

Laboratory of Magnetic Resonance, Institut des Sciences et Ingénierie Chimiques

M

Mohammad Khaja Nazeeruddin

U

Ursula Rothlisberger

P

Paul J. Dyson

M

Michael Grätzel