Microresonator clusters for spectral analysis with machine-learning interpreter
Year: 2026
Type: conference-paper
Abstract: We present a compact, scalable, chip-based spectroscopic instrument integrating thousands of optical microresonators within the clusters. By combining a whispering gallery mode resonance phenomenon with a machine-learning interpreter using ensemble methods and variational autoencoder-based data augmentation, the system achieves accurate wavelength identification with 100 fm precision over up to 100 nm visible spectral range.
Authors: I.Saetchnikov, E.Tcherniavskaia, A.Saetchnikov
Institution: Belarusian State University
Language: English
Topic: Photonic and Optical Devices
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7172016007