Fully programmable plasmonic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi mathvariant="script">PT</mml:mi> </mml:math> -symmetric dimer with epsilon near zero and phase-change materials for integrated photonics
Bibliographic record
Abstract
As photonic systems progress toward enhanced miniaturization, dynamic reconfigurability, and improved energy efficiency, a central challenge endures: the accurate and independent control of optical losses and resonant properties on scalable, CMOS-compatible platforms. To address this challenge, we present a hybrid plasmonic dimer that functions in a non-Hermitian regime, capitalizing on the synergistic interplay between epsilon near zero (ENZ) materials and phase-change materials (PCMs) to achieve superior reconfigurability through electrical modulation. Our approach harnesses non-Hermitian physics by precisely modulating the loss differential among coupled modes alongside their resonant frequencies, thereby steering the system to an exceptional point (EP) characterized by emergent phenomena and enhanced perturbation sensitivity. By integrating ENZ materials to control dissipation with PCMs to fine-tune resonant frequencies, our structure achieves robust programmability---delivering at least 16 distinct operational states for coupled resonators. This capability supports deep subwavelength confinement and transitions between EP and non-EP regimes, while the inherently low power consumption of ENZ materials and PCMs under deep-subwavelength confinement offers significant advantages even in high-dimensional configurations. We believe that this work outlines a significant route for next-generation programmable photonics, delivering subwavelength confinement, energy-efficient operation, and high-dimensional optical reconfigurability within an integrated, scalable, and manufacturable platform.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".