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使用神经网络力场研究缺陷负载双层Janus PtSTe中的声子输运。

Phonon Transport in Defect-Laden Bilayer Janus PtSTe Studied Using Neural-Network Force Fields.

作者信息

Pan Lijun, Carrete Jesús, Wang Zhao, Madsen Georg K H

机构信息

Department of Physics, Guangxi University, Nanning 530004, China.

Institute of Materials Chemistry, TU Wien, 1060 Vienna, Austria.

出版信息

J Phys Chem C Nanomater Interfaces. 2024 Jun 22;128(26):11024-11032. doi: 10.1021/acs.jpcc.4c02454. eCollection 2024 Jul 4.

DOI:10.1021/acs.jpcc.4c02454
PMID:38983595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11229070/
Abstract

We explore the phonon transport properties of defect-laden bilayer PtSTe using equilibrium molecular dynamics simulations based on a neural-network force field. Defects prove very efficient at depressing the thermal conductivity of the structure, and flower defects have a particularly powerful effect, comparable to that of double vacancies. Furthermore, the conductivity of the structure with flower defects exhibits an unusual temperature dependence due to structural instability at high temperatures. We look into the distortion to normal modes around the defect by means of the projected phonon density of states and find diverse phenomena including localized modes and blue shifts.

摘要

我们基于神经网络力场,通过平衡分子动力学模拟研究了含有缺陷的双层PtSTe的声子输运性质。事实证明,缺陷在降低结构的热导率方面非常有效,而花状缺陷的影响尤为显著,与双空位的影响相当。此外,由于高温下的结构不稳定性,具有花状缺陷的结构的热导率呈现出异常的温度依赖性。我们借助投影声子态密度研究了缺陷周围正常模式的畸变,发现了包括局域模式和蓝移在内的多种现象。

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本文引用的文献

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Quantitative Predictions of the Thermal Conductivity in Transition Metal Dichalcogenides: Impact of Point Defects in MoS and WS Monolayers.过渡金属二硫属化物热导率的定量预测:MoS和WS单层中点缺陷的影响。
J Phys Chem C Nanomater Interfaces. 2024 Jan 18;128(4):1709-1716. doi: 10.1021/acs.jpcc.3c06820. eCollection 2024 Feb 1.
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Unraveling Thermal Transport Properties of MoTe Thin Films Using the Optothermal Raman Technique.利用光热拉曼技术揭示碲化钼薄膜的热输运特性
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Implementation strategies in phonopy and phono3py.
声子谱和 phonopy3py 的实现策略。
J Phys Condens Matter. 2023 Jun 2;35(35). doi: 10.1088/1361-648X/acd831.
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Deep ensembles vs committees for uncertainty estimation in neural-network force fields: Comparison and application to active learning.深度集成与委员会在神经网络力场中的不确定性估计:比较与主动学习的应用。
J Chem Phys. 2023 May 28;158(20). doi: 10.1063/5.0146905.
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Anisotropic Rashba splitting in Pt-based Janus monolayers PtXY (X,Y = S, Se, or Te).基于铂的Janus单层膜PtXY(X、Y = S、Se或Te)中的各向异性 Rashba 分裂。
Nanoscale Adv. 2021 Sep 14;3(23):6608-6616. doi: 10.1039/d1na00334h. eCollection 2021 Nov 24.
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Heat Conduction Theory Including Phonon Coherence.包括声子相干性的热传导理论。
Phys Rev Lett. 2022 Jan 7;128(1):015901. doi: 10.1103/PhysRevLett.128.015901.
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A Differentiable Neural-Network Force Field for Ionic Liquids.用于离子液体的可微神经网路力场。
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