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Особенности моделирования эффективности фотопреобразования солнечных элементов на основе перовскитов

2017· article· ru· W2704861624 on OpenAlex

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

VenueПисьма в журнал технической физики · 2017
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicEngineering and Agricultural Innovations
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Развит теоретический подход к моделированию эффективности фотопреобразования в p-i-n-структурах на основе перовскитов. Проведено сравнение теории с экспериментом. В результате анализа экспериментальных результатов показано, что в солнечных элементах на основе перовскитов реализуется самопроизвольное текстурирование, обеспечивающее эффективное поглощение света, что существенно увеличивает эффективность фотопреобразования. Установлено, что расчетная зависимость эффективности eta (d) от толщины i-слоя имеет максимум, лежащий в области 0.3-0.9 mum. DOI: 10.21883/PJTF.2017.14.44823.16764

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0030.002
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.004

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 head0.039
GPT teacher head0.246
Teacher spread0.207 · 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