Emerging Two-Dimensional Semiconductors and Magnetic Materials for Next-Generation Spintronics
A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "2D and Carbon Nanomaterials".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 5111
Special Issue Editor
Special Issue Information
Dear Colleagues,
Two-dimensional (2D) semiconducting magnetic materials have garnered widespread attention in condensed matter research due to their unique properties and vast potential applications in areas such as low-power spintronics, sensors, data storage, quantum computing, and optical communications. These materials have challenged fundamental concepts of magnetism by exhibiting unusual behavior at the single layer limit, including controllable magnetic phase transitions by external stimuli and spin–valley coupled excitonic physics, etc. Consequently, the field of 2D semiconducting magnets is expanding rapidly, offering an unprecedented opportunity for exploring fundamental concepts and developing the new spintronic technologies.
This Special Issue offers a premier interdisciplinary platform for novel and cutting-edge theoretical and experimental research on all aspects of 2D semiconducting magnets and their associated heterostructures and devices. Research topics of interest include, but are not limited to:
- Data-driven, high-throughput screening and machine learning techniques for the discovery of new magnetic semiconducting 2D materials;
- The coupling of magnetism to other degrees of freedom, such as ferrovalley, ferroelectricity, and ferroelasticity;
- Tuning the properties of 2D semiconducting magnetism, such as by strain, defects, surface adsorbents, forming heterostructures, and sliding mechanisms;
- The discovery and exploration of novel properties of 2D semiconducting magnets using in-depth first-principles and computational approaches;
- The experimental growth and characterization of 2D semiconducting magnets.
By focusing on these research topics, this Special Issue aims to advance our understanding of 2D semiconducting magnets and their potential applications, paving the way for the development of new technologies in the field of spintronics and beyond.
Dr. Jun Zhou
Guest Editor
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Keywords
- 2D semiconducting magnet
- data-driven approach
- machine learning
- structure engineering
- multiferroic
- computational investigation
- synthesis
- characterization
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