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Record W4401367686 · doi:10.1139/cjp-2023-0345

Electronic and optical properties of the GeS/GeSe heterostructure tuned by in-plane strain

2024· article· en· W4401367686 on OpenAlexvenueno aff
Jimin Shang, Jingjing Ye, Lamei Zhang, Shuai Qiao, Shiquan Feng, Shuai Zhang

Bibliographic record

VenueCanadian Journal of Physics · 2024
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsnot available
FundersNatural Science Foundation of Henan Province
KeywordsPhysicsHeterojunctionStrain (injury)Condensed matter physicsPlane (geometry)OptoelectronicsOpticsMedicineGeometry

Abstract

fetched live from OpenAlex

Constructing new two-dimensional (2D) van der Waals (vdW) heterostructures has been widely employed as a convenient and effective strategy for tuning the optoelectronic properties, which is of great significance for applications in integrated nano-optoelectronic devices. In this work, we design a GeS/GeSe vdW heterostructure and systematically investigate its electronic and optical properties by using first-principles calculations. Our results indicate that the pristine GeS/GeSe heterostructure possesses an indirect band gap (∼0.98 eV) and exhibits an intrinsically type-I band alignment. Furthermore, the optoelectronic properties of the GeS/GeSe heterostructure can be effectively modulated by applying in-plane strain. Specifically, an indirect to direct band gap transition and a type-I to type-II band alignment transition can be synchronously realized, when the tensile strain along zigzag direction reaches 2%. Furthermore, the calculated dielectric function also reveals an obvious strain effect on the optical properties of the GeS/GeSe heterostructure. The light absorption coefficient of the GeS/GeSe heterostructure along the zigzag direction can reach to 10 6 cm −1 level, as the compressive in-plane strain reaches −5%. These findings are expected to play a guidance role in the future design of the optoelectronic devices based on 2D anisotropic heterostructures.

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 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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.268

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.176
Teacher spread0.168 · 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.

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

Citations3
Published2024
Admission routes1
Has abstractyes

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