The Interaction between Photonics and Machine Learning
A special issue of Photonics (ISSN 2304-6732).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 69
Special Issue Editors
Interests: photonic-integrated circuits; photonics intelligent sensing; semiconductor lasers; artificial intelligence; machine learning; reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Interests: LiDAR (light detection and ranging); photonics sensor; deep learning; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue dedicated to "The Interaction between Photonics and Machine Learning". Machine learning has transformed various domains by extracting valuable insights from complex data. Photonics and machine learning can be combined in two ways: one involves utilizing machine learning algorithms as optimization methods or fitting techniques instead of the mathematical modeling and computer simulation to solve optical problems (machine learning for photonics), while the other leverages the higher computational frequencies and the lower energy consumption of photonics to perform machine learning tasks (photonics for machine learning). This Special Issue aims to explore the intersection between photonics and machine learning, highlighting their synergistic relationship and the potential for groundbreaking advancements in various fields.
Dr. Guohui Yuan
Prof. Dr. Zhuoran Wang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Photonics is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computational optics and machine learning
- deep learning for optical systems
- AI-empowered photonic sensor networks
- adaptive optics and machine learning algorithms
- optoelectronic neural networks for information processing
- machine learning-based optimization of photonic devices
- photonics-enabled machine vision systems
- AI-driven design of optical components
- quantum photonics and quantum machine learning
- reinforcement learning to control optical systems
