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Record W4415785100 · doi:10.1002/adfm.202519461

Anchoring Formamidinium Hypophosphite in Formamidinium Iodide Enabling Impressive Crystallization Quality for Wide‐bandgap Perovskite Films

2025· article· en· W4415785100 on OpenAlexaff
Linhong Li, Xiang Liao, Yuan‐Fang Zhang, Hanrui Xiao, Zhiguo Qu, Mingjun Zhang, Wentong Yang, Menglei Xu, Qiang Zeng, Jie Li, Fangyang Liu

Bibliographic record

VenueAdvanced Functional Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsMinistry of Education and Child Care
FundersNational Key Research and Development Program of ChinaCentral South UniversityNational Natural Science Foundation of China
KeywordsFormamidiniumHypophosphitePerovskite (structure)CrystallizationIodideFabricationCrystallinityAnnealing (glass)

Abstract

fetched live from OpenAlex

Abstract The severe open‐circuit voltage ( V OC ) loss arising from poor crystallization quality of absorbers is a considerable challenge in the wide‐bandgap (WBG) perovskite solar cells (PSCs), impeding the lift of power conversion efficiency (PCE). The traditional methods of introducing additives to improve the quality of absorbers are generally carried out during the fabrication process of PSCs, which increases the complexity of the fabrication process and raises the manufacturing costs. In this context, a new complex called formamidinium hypophosphite (FAHP) is synchronously synthesized during the crucial raw material synthesis of formamidinium iodide (FAI). This FAHP is found to facilitate perovskite crystallization. The trace amount of FAHP tends to coordinate with Pb 2+ in the perovskite precursor solution, and the formed complex decomposes, leading to the delay of crystallization rate during the annealing process of perovskite films, thus enabling the WBG perovskite films with respectable crystallinity and minor detrimental defects. The corresponding champion PSC displays a remarkable PCE of 23.26% with V OC of 1.26 V. In addition, the unencapsulated devices maintain more than 80% of their initial PCE after 1400 h storage in air.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.263
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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