Enhanced thermal transport across a bi-crystalline graphene–polymer interface: an atomistic approach
文献信息
Akarsh Verma, Rajesh Kumar, Avinash Parashar
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 nanocomposite. Reverse non-equilibrium molecular dynamics simulations were implemented in combination with Lennard-Jones and reactive force field interatomic potential parameters. According to the simulation results, high-energy grain boundary atoms in bi-crystalline graphene played a substantial role in enhancing the interfacial thermal conductance values. To further illuminate the mechanisms of enhanced graphene–polyethylene interfacial thermal conductance in the presence of grain boundaries, a systematic study on the vibrational density of states and structural evolution was also performed. It was found that the vibrational coupling between bi-crystalline graphene and the polymer was enhanced; whereas a decline in the radial density profile and coordination number resulted in a shifting of the in-plane vibrational modes such that they amalgamated with those of the polyethylene matrix. Thus, bi-crystalline graphene can be considered to be a superior potential reinforcement for nanocomposites as compared to the pristine configuration for applications in thermoelectric and thermal interface materials.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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