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Record W4384155265 · doi:10.1126/science.adi4107

Engineering ligand reactivity enables high-temperature operation of stable perovskite solar cells

2023· article· en· W4384155265 on OpenAlexaff
So Min Park, Mingyang Wei, Jian Xu, Harindi R. Atapattu, Felix T. Eickemeyer, Kasra Darabi, Luke Grater, Yi Yang, Cheng Liu, Sam Teale, Bin Chen, Hao Chen, Tonghui Wang, Lewei Zeng, Aidan Maxwell, Zaiwei Wang, K.R.P.M. Rao, Zhuoyun Cai, Shaik M. Zakeeruddin, Jonathan T. Pham, Chad Risko, Aram Amassian, Mercouri G. Kanatzidis, Kenneth R. Graham, Michaël Grätzel, Edward H. Sargent

Bibliographic record

VenueScience · 2023
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Toronto
FundersBasic Energy SciencesU.S. Department of EnergyEuropean CommissionDivision of Electrical, Communications and Cyber SystemsMaterials Research Science and Engineering Center, Harvard UniversityOffice of Experimental Program to Stimulate Competitive ResearchDivision of Materials ResearchNational Science FoundationU.S. NavyOffice of ScienceOffice of Naval ResearchNorthwestern UniversityStrong
KeywordsPerovskite (structure)Ligand (biochemistry)PassivationIntercalation (chemistry)Materials scienceEnergy conversion efficiencyReactivity (psychology)Chemical engineeringAmmoniumNanotechnologyOptoelectronicsInorganic chemistryChemistryOrganic chemistryLayer (electronics)

Abstract

fetched live from OpenAlex

Perovskite solar cells (PSCs) consisting of interfacial two- and three-dimensional heterostructures that incorporate ammonium ligand intercalation have enabled rapid progress toward the goal of uniting performance with stability. However, as the field continues to seek ever-higher durability, additional tools that avoid progressive ligand intercalation are needed to minimize degradation at high temperatures. We used ammonium ligands that are nonreactive with the bulk of perovskites and investigated a library that varies ligand molecular structure systematically. We found that fluorinated aniliniums offer interfacial passivation and simultaneously minimize reactivity with perovskites. Using this approach, we report a certified quasi–steady-state power-conversion efficiency of 24.09% for inverted-structure PSCs. In an encapsulated device operating at 85°C and 50% relative humidity, we document a 1560-hour T 85 at maximum power point under 1-sun illumination.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.193
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations456
Published2023
Admission routes1
Has abstractyes

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