Conventional Solvent Oxidizes Sn(II) in Perovskite Inks
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTConventional Solvent Oxidizes Sn(II) in Perovskite InksMakhsud I. SaidaminovMakhsud I. SaidaminovDepartment of Chemistry and Electrical & Computer Engineering, Centre for Advanced Materials and Related Technologies (CAMTEC), University of Victoria, 3800 Finnerty Road, Victoria, British Columbia V8P 5C2, CanadaMore by Makhsud I. Saidaminovhttp://orcid.org/0000-0002-3850-666X, Ioannis SpanopoulosIoannis SpanopoulosDepartment of Chemistry, Northwestern University, Evanston, Illinois 60208, United StatesMore by Ioannis Spanopouloshttp://orcid.org/0000-0003-0861-1407, Jehad AbedJehad AbedDepartment of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 1A4, CanadaDepartment of Materials Science and Engineering, University of Toronto, Toronto, Ontario M5S 1A4, CanadaMore by Jehad Abed, Weijun KeWeijun KeDepartment of Chemistry, Northwestern University, Evanston, Illinois 60208, United StatesMore by Weijun Kehttp://orcid.org/0000-0003-2600-5419, Joshua WicksJoshua WicksDepartment of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 1A4, CanadaMore by Joshua Wicks, Mercouri G. Kanatzidis*Mercouri G. KanatzidisDepartment of Chemistry, Northwestern University, Evanston, Illinois 60208, United States*[email protected]More by Mercouri G. Kanatzidishttp://orcid.org/0000-0003-2037-4168, and Edward H. Sargent*Edward H. SargentDepartment of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada*[email protected]More by Edward H. Sargenthttp://orcid.org/0000-0003-0396-6495Cite this: ACS Energy Lett. 2020, 5, 4, 1153–1155Publication Date (Web):March 18, 2020Publication History Received20 February 2020Accepted5 March 2020Published online18 March 2020Published inissue 10 April 2020https://pubs.acs.org/doi/10.1021/acsenergylett.0c00402https://doi.org/10.1021/acsenergylett.0c00402article-commentaryACS PublicationsCopyright © 2020 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views7149Altmetric-Citations135LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (1 MB) Get e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Heat treatment,Oxidation,Perovskites,Solar cells,X-ray absorption near edge spectroscopy Get e-Alerts
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".