Journal Article FZJ-2025-03330

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Autonomous Optimization of Air‐Processed Perovskite Solar Cell in a Multidimensional Parameter Space

 ;  ;  ;  ;  ;  ;  ;  ;  ;

2025
Wiley-VCH Weinheim

Advanced energy materials 15(19), 2404957 () [10.1002/aenm.202404957]

This record in other databases:  

Please use a persistent id in citations: doi:  doi:

Abstract: Traditional optimization methods often face challenges in exploring complex process parameter spaces, which typically result in suboptimal local maxima. Here an autonomous framework driven by a machine learning (ML)-guided automated platform is introduced to optimize the fabrication conditions of additive- and passivation-free perovskite solar cells (PSCs) under ambient conditions. By effectively exploring a 6D parameter space, this method identifies five parameter sets achieving efficiencies above 23%, with a peak efficiency of 23.7% with limited experimental budgets. Feature importance analysis indicates that the rotation speeds during the first and second steps of perovskite processing are the most influential factors affecting device performance, thereby meriting prioritization in the optimization efforts. These results demonstrate the exceptional capability of the autonomous framework in addressing complex process parameter optimization challenges and its potential to advance perovskite photovoltaic technology. Beyond PSCs, this work provides a reliable and comprehensive strategy for optimizing solution-processed semiconductors and highlights the broader applications of autonomous methodologies in materials science.

Classification:

Contributing Institute(s):
  1. Helmholtz-Institut Erlangen-Nürnberg Erneuerbare Energien (IET-2)
Research Program(s):
  1. 1213 - Cell Design and Development (POF4-121) (POF4-121)

Appears in the scientific report 2025
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 25 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
Institutssammlungen > IET > IET-2
Workflowsammlungen > Öffentliche Einträge
Publikationsdatenbank
Open Access

 Datensatz erzeugt am 2025-07-31, letzte Änderung am 2025-08-04


OpenAccess:
Volltext herunterladen PDF
Dieses Dokument bewerten:

Rate this document:
1
2
3
 
(Bisher nicht rezensiert)