Materials and Machine Learning-Related Challenges for Sensors
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 424
Special Issue Editors
Interests: optical fibers; sensors; machine learning; pathology detection; sensing materials; breath analysis
Special Issue Information
Dear Colleagues,
The development of sensors is fundamental to technological, social, and even economic progress. Its importance lies in its ability to improve industrial processes, optimize resources, and monitor and diagnose in the health and environmental area, as well as enabling emerging technologies.
This Special Issue aims to showcase the latest advancements in the field of sensor technology, with a focus on the materials that are driving innovation. We invite researchers, engineers, and industry professionals to submit their original research articles and reviews on topics such as nanomaterials, polymers, composites, and hybrid materials for sensors.
Topics of interest include, but are not limited to, novel sensing materials and structures, functionalization of materials for specific sensing applications, design and fabrication of sensors using advanced materials, and the integration of sensors into wearable devices and machine learning systems.
Dr. Georgina Beltrán Pérez
Dr. Severino Muñoz Aguirre
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. Materials is an international peer-reviewed open access semimonthly 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 2600 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
- sensors
- sensing materials
- machine learning
- design and fabrication
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