Emerging Trends in Nanostructured Oxide Semiconductors: Synthesis, Characterization, and Applications
A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanoelectronics, Nanosensors and Devices".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 58
Special Issue Editor
Interests: oxide semiconductors; photodetectors; gas sensors; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nanostructured oxide semiconductor materials continue to attract significant interest, thanks to their precisely engineered nanoscale architectures and the remarkable electronic, optical, and catalytic properties they exhibit. These unique features have spurred diverse applications, ranging from high-performance sensors and photodetectors to energy storage devices and catalytic systems. Nonetheless, controlling the size, shape, and spatial distribution of oxide semiconductor nanostructures remains a considerable challenge, as does understanding how defects, impurities, and surface states affect overall device performance.
In parallel, the rising wave of artificial intelligence (AI) and machine learning (ML) offers a transformative opportunity within the field. Emerging data-driven approaches can streamline the discovery and design of next-generation oxide semiconductors, guide defect engineering, and optimize nanostructured parameters for specific applications. Such synergy not only accelerates research productivity but also broadens the scope of functional devices—ranging from neuromorphic and flexible electronics to chemical and biological sensors that employ AI-powered analysis.
This Special Issue seeks to create a vibrant forum for sharing novel research on the synthesis, characterization, and application of nanostructured oxide semiconductors, including, but not limited to, the following:
- Innovative fabrication methods for controlling structural and compositional homogeneity;
- Advanced characterization techniques to elucidate the roles of defects, impurities, and interfaces;
- Integration strategies for electronics, optoelectronics, and catalytic systems;
- Data-driven approaches (AI/ML) that enable predictive modeling and advanced analysis;
- Cutting-edge applications such as wearable/implantable devices, neuromorphic computing, multi-spectral sensing, and beyond.
By bringing together state-of-the-art research across these areas, this Special Issue aims to showcase how a deeper understanding of materials at the nanoscale—combined with AI-informed experimentation and analysis—will drive future innovations in oxide semiconductor technology.
We look forward to your contributions and to engaging in discussions that push the frontiers of this exciting field.
Dr. Chun-Ying Huang
Guest Editor
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. Nanomaterials 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 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
- oxide semiconductors
- structure
- morphology
- defects
- synthesis methods
- applications
- photodetectors
- LEDs
- solar cells
- gas sensors
- machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
