Challenges and Future Trends of Low-Dimensional Materials
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".
Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 1637
Special Issue Editors
Interests: carbon materials; topological materials; topological properties; topological phases; light-element topological materials; carbon compounds
Special Issues, Collections and Topics in MDPI journals
Interests: the topological phenomena of condensed matter and cold atom; non-hermitian system
Interests: preparation and application of functional semi-conductor nanocomposites for energy storage; design and preparation of two-dimensional graphene-like layered materials; semiconductor optoelectronic materials and devices
Special Issue Information
Dear Colleagues,
Low-dimensional materials have attracted much attention in recent decades because of their extraordinary properties. After graphene, 2D honeycomb materials, transition metal dichalcogenides, Mxene, etc. have progressed rapidly in the scientific field as well as in engineering applications. Recent structural predictions and experimental reports indicate that there are more low-dimensional materials in nature, and more exotic properties emerge continuously.
This Special Issue aims to collect recent advances in low-dimensional materials, including new low-dimensional structures predicted by new methods (e.g., machine learning), new low-dimensional materials synthesized by new experimental means, new properties of low-dimensional structures/materials (e.g., mechanical, optical, electronic properties) and their applications in engineering. Hybrid low-dimensional structures such as heterostructures and intercalated structures are also welcome. This Special Issue will also address what the current challenges of synthesis of low-dimensional materials are, what the development trends of the low-dimensional materials are in the coming years, and what new technologies and applications are on the horizon.
Prof. Dr. Yuanping Chen
Dr. Xiaosen Yang
Dr. Jing Xu
Guest Editors
Manuscript Submission Information
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Keywords
- 2D materials
- 1D materials
- nanomaterial
- machine learning
- topological properties
- optoelectronic materials
- sensor
- ion battery
- energy materials
