Non-spectroscopic sensing enabled by an electro-optical reservoir computer

Anufriev, Gleb; Furniss, David; Farries, Mark; Phang, Sendy

Abstract

A fully bio-inspired apparatus to perform non-spectroscopic sensing to discriminate and determine the constituent concentrations of a chemical mixture is proposed. Here, fully bio-inspired means that it is comprised of a biomimetic sensor and a neuromorphic signal processor. The sensor is similar to the human eye in terms of its trichromat architecture and overlapping spectral response. The information processor is a neuromorphic system based on an electro-optical implementation of a reservoir computer. A time-stepping signal algorithm based on the Z-bilinear transformation has been developed to realistically simulate the electro-optical reservoir computer; this demonstrates the discrimination and chemical concentration determination tasks. We believe such an apparatus offers potential benefits in areas in which chemical composition needs to be monitored in real time, for example in chemical processing, and food-beverage (fermentation/brewing) and environmental monitoring.

Citation

Anufriev, G., Furniss, D., Farries, M., & Phang, S. (2022). Non-spectroscopic sensing enabled by an electro-optical reservoir computer. Optical Materials Express, 12(5), 1767-1783. https://doi.org/10.1364/OME.449036

• Journal Article Type: Article
• Acceptance Date: Feb 22, 2022
• Online Publication Date: Apr 4, 2022
• Publication Date: May 1, 2022
• Deposit Date: Apr 14, 2022
• Publicly Available Date: Apr 22, 2022
• Journal: Optical Materials Express
• Electronic ISSN: 2159-3930
• Publisher: Optica Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 5
• Pages: 1767-1783
• DOI: https://doi.org/10.1364/OME.449036
• Keywords: Electronic, Optical and Magnetic Materials
• Public URL: https://nottingham-repository.worktribe.com/output/7715328
• Publisher URL: https://opg.optica.org/ome/fulltext.cfm?uri=ome-12-5-1767&id=471031
• Additional Information: Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.