Resonant bistable 2 × 2 crossbar switches using dual nanobeams clad with phase-change material
Bibliographic record
Abstract
We present the first bistable 2 × 2 crossbar switches using dual suspended nanobeams with phase changing Ge2Sb2Se4Te1 (GSST) cladding material. The dual suspended nanobeam configuration gives a higher-temperature pulse that will efficiently change the phase of a nanoscale GSST cladding on each nanobeam cavity region. The compact resonant 2 × 2 Mach–Zehnder switch has stable cross and bar states corresponding to the amorphous and crystalline phases of the GSST, respectively. We have optimized the nanobeam design using 3D FDTD and have made detailed numerical simulations that predict low insertion loss and low crosstalk with ∼100 GHz bandwidth. Finally, the application of this device to N x N x Mλ wavelength cross-connect switching is presented. The unique integration of switch design elements presented in this paper enables, for the first time, the combination of nonvolatile resonant behavior, low switching power, low insertion loss and crosstalk, wide bandwidth, and fast switching times, for WDM switching applications.
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 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".