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Record W2807814502 · doi:10.36829/63cts.v4i2.518

Efecto de la nanotecnología en la capa activa de dispositivos fotovoltaicos utilizando derivados de porfirinas

2017· article· es· W2807814502 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

VenueCiencia Tecnologí­a y Salud · 2017
Typearticle
Languagees
FieldChemistry
TopicSynthesis and Characterization of Pyrroles
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

La nueva generación de fotovoltaicas tiene un enfoque alternativo y complementario para la explotación de la energía solar, con bajo coste de fabricación, felixibilidad, transparencia y peso ligero. Las células solares más prometedoras por su notable progreso son las células solares orgánicas (OSC), células solares sensibilizadas por colorante (híbridas) y células solares de perovskita. Las porfirinas, que son análogos sintéticos de las clorofilas naturales, son de especial interés, debido a su elección natural como sistemas de antenas de recolección de luz que participan en procesos de transferencia de energía y electrones. En los últimos años, ha habido un gran interés en el campo de las células solares orgánicas de heterounión masiva (BHJ) procesadas en disolución utilizando derivados de porfirina como dadores y derivados de fulereno como aceptores, presentando resultados de PCE del 9.06%. En este trabajo se presenta la síntesis y propiedades de derivados de porfirinas A-D-A y el efecto dela capa activa de tamaño nanométrico utilizando diferentes proporciones con PCBM como aceptor alcanzando eficiencias superiores al 8%.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
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 score0.165
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
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 head0.009
GPT teacher head0.286
Teacher spread0.278 · 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