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Record W4393634080 · doi:10.5281/zenodo.7314278

Dataset of photoemission valence-band mapping and band reconstruction of 2H-WSe2

2022· dataset· en· W4393634080 on OpenAlexaboutno aff
R. Patrick Xian, Vincent Stimper, Marios Zacharias, Maciej Dendzik, Shuo Dong, Samuel Beaulieu, Bernhard Schölkopf, Martin Wolf, Laurenz Rettig, Christian Carbogno, Stefan Bauer, Ralph Ernstorfer

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typedataset
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsnot available
Fundersnot available
KeywordsValence bandAngle-resolved photoemission spectroscopySemimetalInverse photoemission spectroscopyBand gapMaterials scienceAtomic physicsPhysicsCrystallographyCondensed matter physicsOptoelectronicsElectronic structureChemistry

Abstract

fetched live from OpenAlex

Photoemission band mapping, band structure calculation, and reconstructed band dispersion of layered semiconductor 2<em>H</em>-WSe<sub>2</sub>, a type of 2D transition metal dichalcogenide. <strong>Provenance</strong>: The experimental data were measured using the SPECS METIS 1000 3D detector with extreme UV pulses centered at 21.7 eV as the photoemission light source. The samples were commercially purchased and directly used in the experiment. The calculated data were converted and preprocessed from an existing record (http://dx.doi.org/10.17172/NOMAD/2020.03.28-1), which contains the band structure of 2<em>H</em>-WSe<sub>2</sub> calculated using density functional theory (DFT) at the level of LDA, PBE, PBEsol, and HSE06 exchange-correlation functionals using FHI-aims (version 171221_1). <strong>Content</strong>: The data contain binned and preprocessed photoemission data; Preprocessed DFT calculations used for initializing the band reconstruction; Postprocessed band reconstruction data (including 14 identifiable valence bands). <strong>Usage</strong>: The dataset may be used for reproducing the results in (https://arxiv.org/abs/2005.10210), computational benchmarks or separately for other materials science applications. For reconstruction, see the source code and examples on GitHub (https://github.com/mpes-kit/fuller).

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0690.000

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 head0.035
GPT teacher head0.225
Teacher spread0.190 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicChalcogenide Semiconductor Thin FilmsFrench-language works237,207