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首页> 外文期刊>Physical Review X >High-Throughput Computation of Thermal Conductivity of High-Temperature Solid Phases: The Case of Oxide and Fluoride Perovskites
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High-Throughput Computation of Thermal Conductivity of High-Temperature Solid Phases: The Case of Oxide and Fluoride Perovskites

机译:高温固相热导率的高通量计算:氧化物和氟化钙钛矿的案例

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Using finite-temperature phonon calculations and machine-learning methods, we assess the mechanical stability of about 400 semiconducting oxides and fluorides with cubic perovskite structures at 0, 300, and 1000?K. We find 92 mechanically stable compounds at high temperatures—including 36 not mentioned in the literature so far—for which we calculate the thermal conductivity. We show that the thermal conductivity is generally smaller in fluorides than in oxides, largely due to a lower ionic charge, and describe simple structural descriptors that are correlated with its magnitude. Furthermore, we show that the thermal conductivities of most cubic perovskites decrease more slowly than the usual T ? 1 behavior. Within this set, we also screen for materials exhibiting negative thermal expansion. Finally, we describe a strategy to accelerate the discovery of mechanically stable compounds at high temperatures.
机译:使用有限温度声子计算和机器学习方法,我们评估了约400种具有立方钙钛矿结构的半导体氧化物和氟化物在0、300和1000?K下的机械稳定性。我们发现92种在高温下具有机械稳定性的化合物(包括迄今为止文献中未提及的36种化合物),可以计算出它们的导热系数。我们表明,氟化物的导热系数通常比氧化物的导热系数小,这在很大程度上是由于较低的离子电荷所致,并描述了与其幅度相关的简单结构描述符。此外,我们表明,大多数立方钙钛矿的热导率下降的速度比通常的T 2慢。 1行为。在此范围内,我们还筛选出表现出负热膨胀的材料。最后,我们描述了一种在高温下加速发现机械稳定化合物的策略。

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