MétaCan
Menu
Back to cohort
Record W4393575956 · doi:10.5281/zenodo.7441231

Time and momentum resolved characterization of hybrid plasmonic heterostructure Au/WSe2

2022· dataset· en· W4393575956 on OpenAlexaboutno aff
Tommaso Pincelli, Thomas Vasileiadis, Shuo Dong, Samuel Beaulieu, Maciej Dendzik, Daniela Zahn, Sang‐Eun Lee, H. Seiler, Yingpeng Qi, R. Patrick Xian, Julian Maklar, Emerson Coy, Niclas S. Mueller, Yu Okamura, Stephanie Reich, Martin Wolf, Laurenz Rettig, Ralph Ernstorfer

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typedataset
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPlasmonHeterojunctionCharacterization (materials science)Momentum (technical analysis)OptoelectronicsMaterials sciencePhysicsNanotechnologyBusiness

Abstract

fetched live from OpenAlex

Dataset attached to paper titled "Observation of Multi-Directional Energy Transfer in a Hybrid Plasmonic-Excitonic Nanostructure" with time and momentum characterization of a 2D palsmonic heterostructure formed by Au nanoislands on bulk WSe2. It contains Angle-resolved photoemission spectroscopy (ARPES) and time-resolved ARPES data (trARPES.zip); femtosecond electron diffraction (FED) data (FED.zip); optical absorption spectroscopy data (Optical_absorbance.zip) and Transmission electron microscopy micrographs (TEM.zip). For trARPES.zip, the following table reports the grid of measurements and most important parameters: Name Sample temperature (K) Pump Wavelength (nm) Pump Duration (fs) Material trARPES_Metis_002.mpes.nxs 300 800 35 Au/WSe2 trARPES_Phoibos_Scan2124.mpes.nxs 300 800 35 WSe2 trARPES_Phoibos_Scan2146.mpes.nxs 70 800 35 WSe2 trARPES_Phoibos_Scan2197.mpes.nxs* 70 800 35 Au/WSe2 trARPES_Phoibos_Scan2198.mpes.nxs* 70 800 35 Au/WSe2 trARPES_Phoibos_Scan2212.mpes.nxs* 300 800 35 Au/WSe2 trARPES_Phoibos_Scan2219.mpes.nxs* 300 800 35 Au/WSe2 trARPES_Phoibos_Scan3159.mpes.nxs 300 1030 200 Au/WSe2 trARPES_Phoibos_Scan3164.mpes.nxs** 300 1030 200 Au/WSe2 trARPES_Phoibos_Scan3185.mpes.nxs 300 1030 200 WSe2 *These scans are acquired with higher angular dispersion requiring separate scans for K and Sigma valleys. **Fluence scan. FED.zip contains the following subfolders: Manuscript_Figure: Experimental data and fit parameters depicted in Figure 4 of the main article. Analysis: Additional information for the FED data including: raw data descriptions (delay, power, filename and more), Matlab scripts with comments, masks and backgrounds for image processing. The Static_patterns subfolder contains electron diffraction patterns of pure WSe2 flakes and Au-covered WSe2 flakes. Optical_absorbance.zip contains the following subfolders & subfiles: without Au & with Au containing all the optical measurements of pristine and Au-covered WSe2 flakes, respectively. comparison_with_and_without_Au.xlsx contains the analysis of the difference curves manuscript_figure.txt contains the data that were used in Figure 1 of the main article.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.044
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0440.005

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 head0.016
GPT teacher head0.222
Teacher spread0.206 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topic2D Materials and ApplicationsFrench-language works237,207