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Record W4394823307 · doi:10.1002/adom.202470040

Polarization‐Sensitive and Self‐Driven Pyro‐Phototronic Photodetectors Based on MoS<sub>2</sub>‐Water Heterojunctions (Advanced Optical Materials 11/2024)

2024· article· en· W4394823307 on OpenAlex
Amin Abnavi, Ribwar Ahmadi, Hamidreza Ghanbari, Mirette Fawzy, Mohammad Reza Mohammadzadeh, Fahmid Kabir, Michael M. Adachi

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

VenueAdvanced Optical Materials · 2024
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMaterials sciencePhotodetectorHeterojunctionOptoelectronicsPolarization (electrochemistry)

Abstract

fetched live from OpenAlex

Pyro-Phototronic Photodetectors Conventional photodetectors require an external voltage bias which can limit their applications, whereas pyro-phototronic photodetectors can use the combined photovoltaic and pyroelectric effects to detect optical signals at zero bias. In article number 2302651, Michael M. Adachi and co-workers report a high-performance pyro-phototronic photodetection device based on the MoS2–water heterojunction. The combination of simple fabrication process, polarization sensitivity, and high responsivity makes the MoS2–water heterojunction an attractive candidate for dual steady-state and transient-type photodetectors. [Cover design by Ehsan Faridi and Ehsan Keshavarzi – Inmywork Studio.]

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 categoriesMeta-epidemiology (narrow)
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 score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.198
Teacher spread0.194 · 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