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Record W4408918495 · doi:10.1142/s0218863525500225

Optical bistability via quantum interference from monolayer WSe2

2025· article· en· W4408918495 on OpenAlexaff
Jean‐Michel Nunzi, Jun Wang

Bibliographic record

VenueJournal of Nonlinear Optical Physics & Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsQueen's University
Fundersnot available
KeywordsOptical bistabilityBistabilityQuantum interferenceInterference (communication)MonolayerOptoelectronicsQuantumMaterials scienceOpticsPhysicsQuantum mechanicsNonlinear opticsNanotechnologyTelecommunicationsComputer scienceLaser

Abstract

fetched live from OpenAlex

We conducted a theoretical investigation of optical bistability based on the dipole-allowed transitions in a three-level ladder-type WSe 2 system. The system interacts with a laser beam through a unidirectional ring cavity. Our results demonstrate that efficient control of bistability can be achieved by tuning the laser frequency, decay rate, and cooperation parameters. We also discuss the influence of absorption and dispersion processes on the optical bistability behavior. The optical bistability exhibits absorptive and hybrid characteristics in small- and intermediate-output fields, respectively. This study can inform the strategic design of 2D materials for fast and low-threshold all-optical switches, leveraging their significant optical nonlinearities and exciton binding energies.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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