[HTML][HTML] Microstructure and properties of graphene nanoplatelets reinforced AZ91D matrix composites prepared by electromagnetic stirring casting
M Li, Q Guo, L Chen, L Li, H Hou, Y Zhao - Journal of Materials Research …, 2022 - Elsevier
Graphene nanoplatelets (GNPs) reinforced AZ91D (GNPs/AZ91D) composites were
prepared by semi-solid electromagnetic stirring casting. The microstructure, mechanical …
prepared by semi-solid electromagnetic stirring casting. The microstructure, mechanical …
[HTML][HTML] Classical and reactive molecular dynamics: Principles and applications in combustion and energy systems
Molecular dynamics (MD) has evolved into a ubiquitous, versatile and powerful
computational method for fundamental research in science branches such as biology …
computational method for fundamental research in science branches such as biology …
LAMMPS-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
Since the classical molecular dynamics simulator LAMMPS was released as an open source
code in 2004, it has become a widely-used tool for particle-based modeling of materials at …
code in 2004, it has become a widely-used tool for particle-based modeling of materials at …
First‐principles multiscale modeling of mechanical properties in graphene/borophene heterostructures empowered by machine‐learning interatomic potentials
Density functional theory calculations are robust tools to explore the mechanical properties
of pristine structures at their ground state but become exceedingly expensive for large …
of pristine structures at their ground state but become exceedingly expensive for large …
Thermally conductive ultra-low-k dielectric layers based on two-dimensional covalent organic frameworks
As the features of microprocessors are miniaturized, low-dielectric-constant (low-k) materials
are necessary to limit electronic crosstalk, charge build-up, and signal propagation delay …
are necessary to limit electronic crosstalk, charge build-up, and signal propagation delay …
Machine-learning interatomic potentials for materials science
Y Mishin - Acta Materialia, 2021 - Elsevier
Large-scale atomistic computer simulations of materials rely on interatomic potentials
providing computationally efficient predictions of energy and Newtonian forces. Traditional …
providing computationally efficient predictions of energy and Newtonian forces. Traditional …
Electronic-structure methods for twisted moiré layers
When single layers of 2D materials are stacked on top of one another with a small twist in
orientation, the resulting structure often involves incommensurate moiré patterns. In these …
orientation, the resulting structure often involves incommensurate moiré patterns. In these …
Gram-scale bottom-up flash graphene synthesis
Most bulk-scale graphene is produced by a top-down approach, exfoliating graphite, which
often requires large amounts of solvent with high-energy mixing, shearing, sonication or …
often requires large amounts of solvent with high-energy mixing, shearing, sonication or …
Thermal conductivity of polymers and their nanocomposites
Polymers are usually considered as thermal insulators, and their applications are limited by
their low thermal conductivity. However, recent studies have shown that certain polymers …
their low thermal conductivity. However, recent studies have shown that certain polymers …
A review on mechanics and mechanical properties of 2D materials—Graphene and beyond
Since the first successful synthesis of graphene just over a decade ago, a variety of two-
dimensional (2D) materials (eg, transition metal-dichalcogenides, hexagonal boron-nitride …
dimensional (2D) materials (eg, transition metal-dichalcogenides, hexagonal boron-nitride …