The chemistry of CVD graphene

J Plutnar, M Pumera, Z Sofer - Journal of Materials Chemistry C, 2018 - pubs.rsc.org
This review covers all aspects of possible graphene doping and chemical modification
published to date. Together with the chemistry of graphene, the current methods of large …

Nanomechanics of graphene

Y Wei, R Yang - National Science Review, 2019 - academic.oup.com
The super-high strength of single-layer graphene has attracted great interest. In practice,
defects resulting from thermodynamics or introduced by fabrication, naturally or artificially …

Toughness and strength of nanocrystalline graphene

A Shekhawat, RO Ritchie - Nature communications, 2016 - nature.com
Pristine monocrystalline graphene is claimed to be the strongest material known with
remarkable mechanical and electrical properties. However, graphene made with scalable …

Visualizing defect dynamics by assembling the colloidal graphene lattice

PJM Swinkels, Z Gong, S Sacanna, EG Noya… - Nature …, 2023 - nature.com
Graphene has been under intense scientific interest because of its remarkable optical,
mechanical and electronic properties. Its honeycomb structure makes it an archetypical two …

Enhanced thermal transport across a bi-crystalline graphene–polymer interface: an atomistic approach

A Verma, R Kumar, A Parashar - Physical Chemistry Chemical Physics, 2019 - pubs.rsc.org
The objective of this investigation was to elaborate on the influence of grain boundaries on
the interfacial thermal conductance between bi-crystalline graphene and polyethylene in a …

Automated crystal orientation mapping in py4DSTEM using sparse correlation matching

C Ophus, SE Zeltmann, A Bruefach… - Microscopy and …, 2022 - cambridge.org
Crystalline materials used in technological applications are often complex assemblies
composed of multiple phases and differently oriented grains. Robust identification of the …

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 …

Scaling properties of polycrystalline graphene: a review

A Isacsson, AW Cummings, L Colombo, L Colombo… - 2D …, 2016 - iopscience.iop.org
We present an overview of the electrical, mechanical, and thermal properties of
polycrystalline graphene. Most global properties of this material, such as the charge mobility …

Preferential self-healing at grain boundaries in plasma-treated graphene

P Vinchon, X Glad, G Robert Bigras, R Martel… - Nature Materials, 2021 - nature.com
Engineering of defects located in grains or at grain boundaries is central to the development
of functional materials. Although there is a surge of interest in the formation, migration and …

Single-atom supported on graphene grain boundary as an efficient electrocatalyst for hydrogen evolution reaction

T He, C Zhang, A Du - Chemical Engineering Science, 2019 - Elsevier
Embedding a single atom into the supported catalysts is the most effective way to maximize
the catalytic efficiency, holding promise for developing low-cost electrocatalysts. Grain …