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Record W2303440597 · doi:10.1149/ma2015-02/43/1685

Efficient and Stable Silicon-Based Solar Water Splitting Devices

2015· article· en· W2303440597 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

VenueECS Meeting Abstracts · 2015
Typearticle
Languageen
FieldEnergy
TopicSolar-Powered Water Purification Methods
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsWater splittingSiliconMaterials sciencePhotovoltaic systemHydrogenSolar energyEngineering physicsSolar cellNanotechnologyNanoporousOptoelectronicsChemistryElectrical engineeringCatalysisEngineering

Abstract

fetched live from OpenAlex

Hydrogen production by solar water splitting has attracted considerable interests as a long-term energy storage system (ESS) to store intermittent solar energy to stable and reusable chemical fuels. While silicon is a promising material for photoelectrochemical (PEC) water splitting because of an earth-abundancy, low cost, and small bandgap, silicon has slow kinetics for hydrogen evolving reaction (HER). In addition, under conditions for oxygen evolution reaction, silicon easily forms an insulating SiO 2 or even corrodes. Therefore, new strategies are requires for stable and efficient silicon based PEC water splitting devices. In this talk, I’ll present our efforts to develop a silicon-based solar water splitting devices, leveraging the existing Si photovoltaic technology. Particularly, I’ll talk about nanoporous black Si to improve HER. In addition, I’ll present our novel device architecture to enhanced OER stability.

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)0.003
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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)0.0000.000

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 head0.036
GPT teacher head0.278
Teacher spread0.243 · 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