Neural Modal Decomposition: Architectural Priors from Observables
Many engineering building blocks behave as multi-port linear time-invariant systems. RF cavities, photonic devices, and superconducting quantum chips, despite their different underlying physics, all share a common mathematical structure for their port-level response. Each entry of the response matrix is a sum of contributions from a small number of intrinsic resonant modes, the pole-residue form. A model capable of predicting such responses for arbitrary geometries and arbitrary port configurations, while simultaneously extracting the underlying eigenmode structure, would therefore establish a foundational design principle spanning all these domains. We propose a neural framework that lea...
| Authors | Juho Park, Kaushik Sengupta |
|---|---|
| Primary category | physics.comp-ph |
| Published | 13 September 2026 |
| Last updated at source | 13 September 2026 |
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