Anomalous thermal conductivity in 2D silica nanocages of immobilizing noble gas atom
arXiv:2403.16351 · doi:10.1063/5.0200462
Abstract
Noble gas atoms such as Kr and Xe are byproducts of nuclear fission in nuclear plants. How to trap and confine these volatile even radioactive gases is particularly challenging. Recent studies have shown that they can be trapped in nanocages of ultrathin silica. Here, we exhibit with self-consistent phonon theory and four-phonon (4ph) scattering where the adsorption of noble gases results in an anomalous increase in lattice thermal conductivity, while the presence of Cu atoms doping leads to a reduction in lattice thermal conductivity. We trace this behavior in host-guest 2D silica to an interplay of tensile strain, rattling phonon modes, and redistribution of electrons. We also find that 4ph scatterings play indispensable roles in the lattice thermal conductivity of 2D silica. Our work illustrates the microscopic heat transfer mechanism in 2D silica nanocages with the immobilization of noble gas atoms and inspires further exploring materials with the kagome and glasslike lattice thermal conductivity.
7 pages, 4 figures
References in corpus (5)
- Impact of Rattlers on Thermal Conductivity of a Thermoelectric Clathrate: A First-Principles Study
- Novel Two-Dimensional Silicon Dioxide with in-plane Negative Poisson's Ratio
- The role of high-order anharmonicity and off-diagonal terms in thermal conductivity: a case study of multi-phase CsPbBr3
- First-principles study on the electronic structure of PbCu(PO)O (=0, 1)
- Glass-like Cross-plane Thermal Conductivity of Kagome Metals RbV3Sb5 and CsV3Sb5
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