Title A review of theories and numerical methods in nanomechanics for the analysis of nanostructures
Authors Sadeghian, Mostafa ; Palevicius, Arvydas ; Janusas, Giedrius
DOI 10.3390/math13223626
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Is Part of Mathematics.. Basel : MDPI. 2025, vol. 13, iss. 22, art. no. 3626, p. 1-40.. ISSN 2227-7390
Keywords [eng] nanomechanics theories ; numerical methods ; nanostructures ; machine learning ; review
Abstract [eng] Nanostructures, such as carbon nanotubes (CNTs), graphene, nanoplates, etc., show behaviors that classical continuum theories cannot capture. At the nanoscale, size effects, surface stresses, and nonlocal interactions become important, so new models are needed to study nanostructures. The main nanomechanics theories that are used in recently published papers include nonlocal elasticity theory (NET), couple stress theory (CST), and nonlocal strain gradient theories (NSGTs). To solve these models, methods such as finite elements, isogeometric analysis, mesh-free approaches, molecular dynamics (MD), etc., are used. Also, this review categorizes and summarizes the major theories and numerical methods used in nanomechanics for the analysis of nanostructures in recently published papers. Recently, machine learning methods have enabled faster and more accurate prediction of nanoscale behaviors, offering efficient alternatives to traditional methods. Studying these theories, numerical models and data driven approaches provide an important foundation for future research and the design of next generation nanomaterials and devices.
Published Basel : MDPI
Type Journal article
Language English
Publication date 2025
CC license CC license description