Latest Advancements in Semiconductor Materials, Devices, and Systems
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D1: Semiconductor Devices".
Deadline for manuscript submissions: closed (20 November 2024) | Viewed by 23196
Special Issue Editors
Interests: semiconductor devices; quantum computing; nanofabrication; machine learning
Special Issues, Collections and Topics in MDPI journals
2. School of Materials Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Interests: 2D materials; nanotechnology; semiconductor devices
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The semiconductor domain is experiencing a paradigm shift as the boundaries of Moore's Law are being approached. While the exploration of next-generation semiconductors, such as 2D materials and wide bandgap semiconductors, continues to unfold new horizons for electronic devices, advancements in traditional semiconductors such as Silicon (Si) and Germanium (Ge) remain crucial for current and emerging technologies. These advancements, in conjunction with sophisticated modeling, simulation, and fabrication techniques, are paving the way for remarkable innovations not only in materials and devices but also in circuits and systems, thus enriching the semiconductor research landscape.
This Special Issue, titled "Latest Advancements in Semiconductor Materials, Devices, and Systems" aims to create a comprehensive platform for researchers to share their state-of-the-art results. We welcome contributions in the form of research papers, communications, and review articles that shed light on contemporary developments in both traditional and next-generation semiconductors and their integration into innovative devices, circuits, and systems.
We cordially invite submissions on a wide array of topics, including, but not limited to, the following:
- Novel device structures, processes, and models.
- Material synthesis, characterizations, and heterojunctions, involving Si, Ge, GaAs, layered transition metal chalcogenides, graphene, black phosphorus, III-V, SiC, ZnO, Ga2O3, diamond, and others.
- Numerical studies and simulations exploring the behavior and application of both traditional and advanced semiconductors.
- Innovative circuit designs and system-level integrations.
- Machine learning applications in optimizing semiconductor functionalities.
- Advanced computing paradigms (neural computing, in-memory computing, and quantum computing) enabled by modern semiconductor technologies.
This Special Issue will serve as an exciting venue for disseminating pioneering work and fostering discussions that could guide future directions in the semiconductor field. We eagerly anticipate your valuable submissions and look forward to an enlightening discourse on the latest advancements encompassing semiconductor materials, devices, circuits, and systems.
We look forward to receiving your submissions.
Dr. Zeheng Wang
Dr. Jing-Kai Huang
Guest Editors
Manuscript Submission Information
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Keywords
- semiconductors
- fabrication
- simulation
- circuits
- systems
- machine learning
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