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Record W1608346828 · doi:10.1109/pvsc.2005.1488094

Combinatorial discovery of new thin film photovoltaics

2005· article· en· W1608346828 on OpenAlex
Joel A. Haber, Nathan J. Gerein, T. D. Hatchard, Matthieu Y. Versavel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhotovoltaicsThin filmMaterials sciencePhotovoltaic systemSemiconductorCompound semiconductorHeterojunctionOptoelectronicsNanotechnologyComputer scienceLayer (electronics)Electrical engineeringEngineering

Abstract

fetched live from OpenAlex

A combinatorial approach to discover new types of thin film photovoltaic devices containing only abundant, inexpensive, and relatively nontoxic elements is described. A large number of compound semiconductors with band-gaps suitable for solar energy conversion (1.0-2.0 eV) are known, including many sulfide compounds, but have not yet been used in efficient devices. Thin films of several sulfide semiconductors will be prepared and their microstructure and optical and electrical properties characterized. Combinatorial methods will be employed to simultaneously prepare many combinations of back contacts, absorber layers, buffer layers, heterojunction window layers, and top contacts. The combinatorial approach is necessary, because existing thin film technologies have largely been selected and improved empirically. The combinatorial approach will enable us to greatly accelerate the rate of empirical discovery.

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.

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 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 score0.125
Threshold uncertainty score0.550

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 communication0.0000.000
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 head0.014
GPT teacher head0.220
Teacher spread0.205 · 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

Quick stats

Citations6
Published2005
Admission routes1
Has abstractyes

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