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Record W3008293899 · doi:10.1021/acsenergylett.9b02757

Understanding Photoelectrochemical Water Oxidation with X-ray Absorption Spectroscopy

2020· article· en· W3008293899 on OpenAlexafffund
Jiujun Deng, Qingzhe Zhang, Xiaoxin Lv, Duo Zhang, Hui Xu, Dongling Ma, Jun Zhong

Bibliographic record

VenueACS Energy Letters · 2020
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsInstitut National de la Recherche Scientifique
FundersSuzhou University of Science and TechnologyChina Postdoctoral Science FoundationCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaJiangsu UniversityNational Natural Science Foundation of China
KeywordsX-ray absorption spectroscopyWater splittingHematiteAbsorption spectroscopySynchrotron radiationSynchrotronAbsorption (acoustics)NanotechnologyMaterials scienceCharacterization (materials science)SpectroscopyChemistryPhotocatalysisOpticsPhysicsCatalysisMetallurgy

Abstract

fetched live from OpenAlex

Synchrotron radiation-based X-ray absorption spectroscopy (XAS) has been demonstrated to be a powerful and effective characterization tool in comprehensively and deeply understanding the photoelectrochemical (PEC) water-splitting process owing to its unique capability in probing the electronic structure changes of photoelectrodes. In this Review, we present the most recent achievements in the past few years of synchrotron XAS techniques for the advanced investigation of hematite and other commonly used photoanodes. By focusing on the unique and powerful roles that XAS played in identifying the chemical compositions and exploring the working mechanism of various photoanodes, we will provide an in-depth understanding on how the XAS technique can guide the design of efficient photoanodes and contribute to the further development of PEC water splitting. The Review is also expected to stimulate more interest from the PEC community in general for taking advantage of XAS to facilitate their research.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.001
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 head0.031
GPT teacher head0.207
Teacher spread0.176 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations76
Published2020
Admission routes2
Has abstractyes

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Same venueACS Energy LettersSame topicIron oxide chemistry and applicationsFrench-language works237,207