Effect of point and line defects on mechanical and thermal properties of graphene: a review

G Rajasekaran, P Narayanan… - Critical reviews in solid …, 2016‏ - Taylor & Francis
New materials with distinctive properties are arising and attracting the scientific community
at regular intervals. Stiffness and strength are the important factors in determining stability …

In situ microscopy techniques for characterizing the mechanical properties and deformation behavior of two-dimensional (2D) materials

P Li, Z Kang, Z Zhang, Q Liao, F Rao, Y Lu, Y Zhang - Materials Today, 2021‏ - Elsevier
Due to the atomic thickness and planar characteristics, two-dimensional (2D) materials such
as graphene and transition metal dichalcogenides (TMDs) are considered to be excellent …

Manufacture and characterization of graphene membranes with suspended silicon proof masses for MEMS and NEMS applications

X Fan, AD Smith, F Forsberg, S Wagner… - Microsystems & …, 2020‏ - nature.com
Graphene's unparalleled strength, chemical stability, ultimate surface-to-volume ratio and
excellent electronic properties make it an ideal candidate as a material for membranes in …

Structures, stabilities and electronic properties of defects in monolayer black phosphorus

XB Li, P Guo, TF Cao, H Liu, WM Lau, LM Liu - Scientific reports, 2015‏ - nature.com
The structures, stabilities and electronic properties of monolayer black phosphorus (M-BP)
with different kinds of defects are investigated within the frame of density-functional theory …

A novel approach for studying crack propagation in polycrystalline graphene using machine learning algorithms

MSR Elapolu, MIR Shishir, A Tabarraei - Computational Materials Science, 2022‏ - Elsevier
A machine learning model is proposed to predict the brittle fracture of polycrystalline
graphene under tensile loading. The model employs a convolutional neural network …

Advances in finite element modelling of graphene and associated nanostructures

Y Chandra, S Adhikari, EIS Flores - Materials Science and Engineering …, 2020‏ - Elsevier
Graphene and its associated nanostructures (GANS) have been widely investigated by
means of experimental and numerical approaches over the last decade. GANS and GANS …

[ספר][B] Quantitative data processing in scanning probe microscopy: SPM applications for nanometrology

P Klapetek - 2018‏ - books.google.com
Quantitative Data Processing in Scanning Probe Microscopy: SPM Applications for
Nanometrology, Second Edition describes the recommended practices for measurements …

Mechanical properties of graphene based nanocomposites incorporating a hybrid interphase

GI Giannopoulos, IG Kallivokas - Finite Elements in Analysis and Design, 2014‏ - Elsevier
The elastic mechanical properties of graphene monolayer based nanocomposites
considering a hybrid interphase region between reinforcement and matrix is being …

The size effect in mechanical properties of finite-sized graphene nanoribbon

Y Chu, T Ragab, C Basaran - Computational Materials Science, 2014‏ - Elsevier
Size effect in mechanical behavior of finite-sized graphene nanoribbons (GNRs) under
uniaxial tension is studied using Molecular Dynamics (MD) simulations. The size effect and …

Size-dependent non-linear mechanical properties of graphene nanoribbons

SK Georgantzinos, GI Giannopoulos… - Computational Materials …, 2011‏ - Elsevier
An atomistic, spring-based, non-linear finite element method is implemented in order to
predict the non-linear mechanical behavior of graphene nanoribbons. According this …