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Record W6930562230 · doi:10.5281/zenodo.15278797

Efficiency of band edge optical transitions of 2D monolayer materials: A high-throughput computational study (workflows)

2025· other· en· W6930562230 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMonolayerEnhanced Data Rates for GSM EvolutionSpace (punctuation)IdentifierKey (lock)Band gapElectronic band structure

Abstract

fetched live from OpenAlex

This archive contains supporting information for the manuscript "Efficiency of Band-Edge Optical Transitions in 2D Monolayer Materials: A High-Throughput Computational Study." The files provided enable full reproduction of the results presented in the paper. All calculations were performed using VASP version 6.4.0, except for the GW-BSE calculations, which were carried out with VASP version 6.5.0. In addition, the archive includes a CSV file summarizing key results for the top-performing direct band gap monolayer materials. The file contains the polarization-averaged momentum matrix elements $|p|^2$ at 300 K (see Eq. 3 in https://doi.org/10.48550/arXiv.2409.18287), along with information such as $k$-point coordinates, PBE+SOC band gaps, space group, energy above the convex hull, and database identifiers (DOI, COD, and C2DB).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.706
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.251
Teacher spread0.234 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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