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@ARTICLE{Ternes:1047252,
author = {Ternes, Simon and Brabec, Christoph J. and Castriotta,
Luigi A. and Exlager, Thomas and Forberich, Karen and
Gagliardi, Alessio and Götte, Michael and Mathies, Florian
and Ratnasingham, Sinclair Ryley and Reb, Lennart K. and
Unger, Eva and Di Carlo, Aldo},
title = {{P}rocess {P}arameter {S}pecification and {C}ontrol in
{S}olution {P}rocessing of {H}ybrid {P}erovskite
{P}hotovoltaics: {F}rom {D}omain‐{S}pecific {J}argon to
{E}vidence‐{B}ased, {U}nambiguous {D}escription of
{E}xperimental {W}orkflows},
journal = {Advanced energy materials},
issn = {1614-6832},
address = {Weinheim},
publisher = {Wiley-VCH},
reportid = {FZJ-2025-04183},
pages = {e03187},
year = {2025},
abstract = {Within the last 20 years, hybrid perovskite solar cells
(PSCs) have reached remarkable power conversion
efficiencies. Further, scalability of hybrid perovskite
deposition routines and stability of PSCs have been
significantly improved. Yet, a critical roadblock remains:
Poor reproducibility largely caused by inconsistent control
and reporting of process parameters. Key aspects such as the
handling of the perovskite solution, the air jet used for
drying, or the process atmosphere are often incompletely
specified. In response, this review systematically presents
the empirical evidence linking process parameters to the
film morphology and the device performance for
solution-based one-step and two-step deposition routines of
highly efficient PSCs as well as large-area perovskite
modules. To maximize interdisciplinary understanding, the
process parameters are standardized within the thin-film
solar cell ontology (TFSCO), structured according to the
internal logic of sequential deposition and classified by
fundamental mass transfer mechanisms. In a final literature
study, the state-of-the-art of parameter reporting is
assessed—mirroring to the community where reporting
standards can be improved. By using the here-presented
parameter list as a template, perovskite workflows become
fully and unambiguously specified—bridging the gap between
manual and automated process optimization and fostering
data-driven acceleration via digital twins of perovskite
research.},
cin = {IET-2 / IMD-3},
ddc = {050},
cid = {I:(DE-Juel1)IET-2-20140314 / I:(DE-Juel1)IMD-3-20101013},
pnm = {1214 - Modules, stability, performance and specific
applications (POF4-121) / 1212 - Materials and Interfaces
(POF4-121)},
pid = {G:(DE-HGF)POF4-1214 / G:(DE-HGF)POF4-1212},
typ = {PUB:(DE-HGF)36 / PUB:(DE-HGF)16},
doi = {10.1002/aenm.202503187},
url = {https://juser.fz-juelich.de/record/1047252},
}