Compact inverse-designed tilted waveguide crossing
Bibliographic record
Abstract
Waveguide crossings are key components for increasing integration density and routing flexibility. We propose a novel, to the best of our knowledge, compact, tilted silicon waveguide crossing designed using inverse design methods, specifically optimized to minimize both insertion loss and crosstalk. Through adjoint optimization algorithms and finite-difference time-domain simulations, we achieve a significant reduction in crosstalk from −46 dB at 90° to −54 dB at 86°, with a remarkably low insertion loss of −0.14 dB at 1310 nm. The footprint is further minimized to only 8 × 8 μm 2 , setting what we believe to be a new benchmark in terms of both size and performance compared to existing silicon waveguide crossings. The impact of the tilt angle on performance is thoroughly analyzed through both simulations and experimental validation. This device highlights the potential of inverse design to deliver optimized overall performance while maintaining an ultra-compact footprint. Fabricated on a commercial foundry, with its low loss, low crosstalk, and small size, our waveguide crossing is ideally suited for high-density photonic integrated circuits, offering promising applications in data centers and quantum photonics.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".