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Record W3116711053 · doi:10.20438/ecs.v7i2.316

FIRST-PRINCIPLE STUDY OF ELECTRONIC AND VIBRATIONAL PROPERTIES OF LATERAL HETEROSTRUCTURE BASED ON TRANSITION METAL DICHALCOGENIDE (TMDS)

2020· article· pt· W3116711053 on OpenAlexaff
Willian Oliveira Santos, Djardiel Gomes Da Silva, Francisco Carlos Medeiros Filho, Ketly dos Santos Nascimento, José Robson da Costa Venâncio, Nilton Ferreira Frazão

Bibliographic record

VenueEducação Ciência e Saúde · 2020
Typearticle
Languagept
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsIndspire
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsCASTEPTransition metalMaterials scienceHeterojunctionHumanitiesPhysicsNanotechnologyBand gapOptoelectronicsChemistryArt

Abstract

fetched live from OpenAlex

A compreensão de novos materiais nanoestruturado é muito importante para o avanço tecnológico. Espera-se que a junção de materiais provoque mudanças nas propriedades eletrônicas em comparação com as propriedades desses materiais isolados. Logo, estudar as propriedades físicas após a junção de materiais são importantes para criação de instrumentos cada vez menores e melhores. Neste trabalho, utilizando cálculos de primeiros princípios, implementados com o formalismo da DFT no código computacional CASTEP, investigamos as propriedades eletrônicas das heteroestrutura lateral (HSL) formadas pela junção de planos baseados em dicalcogenetos de metal de transição (TMDs). Como resultado foi visto que HSL apresenta característica semicondutora de gap indireto.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.026
GPT teacher head0.252
Teacher spread0.226 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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