Interlayer interaction and mechanical properties in multi-layer graphene, Boron-Nitride, Aluminum-Nitride and Gallium-Nitride graphene-like structure: A quantum-mechanical DFT study-Reference-Cited by-同舟云学术

Interlayer interaction and mechanical properties in multi-layer graphene, Boron-Nitride, Aluminum-Nitride and Gallium-Nitride graphene-like structure: A quantum-mechanical DFT study

Published:2017-12 Issue: Volume:112 Page:30-45
ISSN:0749-6036
Container-title:Superlattices and Microstructures
language:en
Short-container-title:Superlattices and Microstructures

Author:

Ghorbanzadeh Ahangari Morteza,Fereidoon A.,Hamed Mashhadzadeh Amin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,General Materials Science

Reference59 articles.

1. Electric field effect in atomically thin carbon films;Novoselov;Science,2004

2. Two-dimensional gas of massless Dirac fermions in graphene;Novoselov;Nature,2005

3. Room-temperature quantum Hall effect in graphene;Novoselov;Science,2007

4. Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene

5. Superior thermal conductivity of single-layer graphene;Balandin;Nano Lett.,2008

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Strength and stability of π-π interaction between substituted benzene ring structures and graphene: Theoretical and molecular dynamics study;Separation and Purification Technology;2024-09

2. Mechanical properties of C3N-BN hybrid nanosheets: Insights from molecular dynamics simulations;Diamond and Related Materials;2024-08

3. Tunable electronic and magnetic properties of defective g-ZnO monolayer doping with non-metallic elements;Journal of Molecular Modeling;2024-06-17

4. Atomic-scale simulation of ultrasonic vibration-assisted polishing process for graphene/GaN-layered composites;Materials Science in Semiconductor Processing;2024-06

5. Machine Learning-Assisted design of boron and nitrogen doped graphene nanosheets with tailored thermomechanical properties;Computational Materials Science;2024-05