Abstract
We use sparse neural networks and KANs to obtain interpretable design principles governing band topology in photonic crystals, creating a dataset of photonic crystals with deterministic band topologies below the first gap.
| Original language | English |
|---|---|
| Publication date | 2025 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | CLEO: Conference on Lasers and Electro-Optics 2025 - Long Beach Convention & Entertainment Center, Long Beach, United States Duration: 4 May 2025 → 9 May 2025 |
Conference
| Conference | CLEO: Conference on Lasers and Electro-Optics 2025 |
|---|---|
| Location | Long Beach Convention & Entertainment Center |
| Country/Territory | United States |
| City | Long Beach |
| Period | 04/05/2025 → 09/05/2025 |
Bibliographical note
From the session: Topological and non-Hermitian photonics (paper FF138_5)Fingerprint
Dive into the research topics of 'Interpretable Artificial Intelligence for Topological Photonics'. Together they form a unique fingerprint.Cite this
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