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. [...]

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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
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article

Low-Dimensional Materials: From Size Confinement to AI-Driven Materials Design Strategy

Federico Cesano, Paolo Negro
Materials
Machine Learning in Materials Science
article

Low-Dimensional Materials: From Size Confinement to AI-Driven Materials Design Strategy

Federico Cesano, Paolo Negro
article en

Abstract

Low-dimensional materials are systems in which one or more characteristic dimensions are restricted to the atomic or nanometer scale. [...]

MaterialsVol. 19(19)
National Interuniversity Consortium of Materials Science and Technology (IT), University of Turin (IT)
Sustainable cities and communities
Openalex Percentile: Top 26%
Machine Learning in Materials Science
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Low-Dimensional Materials: From Size Confinement to AI-Driven Materials Design Strategy — Federico Cesano, Paolo Negro · Materials (2026) | TGRS Research Map | TGRS