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Carbon nanotubes (CNTs) have remained at the forefront of nanoscience for more than three decades, owing to their unique cylindrical structures, exceptional physical, chemical, and mechanical properties, and broad potential in electronics, energy, composites, and biomedical applications. Significant advances have been achieved in scalable synthesis, structural control, and multifunctional integration. More recently, the rapid development of artificial intelligence (AI) and machine learning (ML) methodologies has opened new opportunities to optimize CNT growth, tailor structures, and predict performance with unprecedented precision.
This Special Issue of Nanomaterials, “Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications,” assembles ten contributions from several research groups worldwide [1,2,3,4,5,6,7,8,9,10]. The collection comprises five research articles and five review articles that span fundamental synthesis studies, advanced characterizations, and diverse application demonstrations, reflecting both the maturity of the field and the emergence of new directions.

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• In Copyright
  

Keyword: Carbon Nanotubes, Synthesis, Properties, Machine learning

Date published: 2025-10-20

Publisher: MDPI AG

Journal:

• Nanomaterials (ISSN: 20794991) vol. 15 issue. 20 1595

Funding:

• JSPS KAKENHI JP23K04552
• JSPS KAKENHI JP25820336
• JSPS KAKENHI JP20K05281
• JSPS KAKENHI JP23H01796
• JST-FOREST Program JPMJFR223T
• Ministry of Education, Culture, Sports, Science and Technology JPMXP1224NM5238

Manuscript type: Author's version (Submitted manuscript)

MDR DOI: https://doi.org/10.48505/nims.6002

First published URL: https://doi.org/10.3390/nano15201595

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Updated at: 2025-12-13 08:30:03 +0900

Published on MDR: 2025-12-13 08:22:18 +0900