Low-Dimensional Materials: From Size Confinement to AI-Driven Materials Design Strategy
Low-dimensional materials are systems in which one or more characteristic dimensions are restricted to the atomic or nanometer scale. [...]
Authors
- Federico Cesano (ORCID: https://orcid.org/0000-0002-4056-4738)
- Paolo Negro (ORCID: https://orcid.org/0000-0002-4471-9995)
Institutions
- National Interuniversity Consortium of Materials Science and Technology (IT)
- University of Turin (IT)
Publication Details
- Journal
- Materials
- Published
- 2026-09-28
- DOI
- https://doi.org/10.3390/ma19194145
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00