An interpretable formula for lattice thermal conductivity of crystals

Xiaoying Wang, Guoyu Shu, Guimei Zhu, Jiansheng Wang, Jun Sun, Xiangdong Ding, Baowen Li, Zhibin Gao
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Abstract

Lattice thermal conductivity (kL) is a crucial physical property of crystals with applications in thermal management, such as heat dissipation, insulation, and thermoelectric energy conversion. However, accurately and rapidly determining kL poses a considerable challenge. In this study, we introduce an formula that achieves high precision (mean relative error=8.97%) and provides fast predictions, taking less than one minute, for kL across a wide range of inorganic binary and ternary materials. Our interpretable, dimensionally aligned and physical grounded formula forecasts kL values for 4,601 binary and 6,995 ternary materials in the Materials Project database. Notably, we predict undiscovered high kL values for AlBN2 (kL=101 W/ m/ K) and the undetectedlow kL Cs2Se (kL=0.98 W/ m/ K) at room temperature. This method for determining kL streamlines the traditionally time-consuming process associated with complex phonon physics. It provides insights into microscopic heat transport and facilitates the design and screening of materials with targeted and extreme kL values through the application of phonon engineering. Our findings offer opportunities for controlling and optimizing macroscopic transport properties of materials by engineering their bulk modulus, shear modulus, and Gruneisen parameter.
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晶体晶格热导率的可解释公式
晶格热导率(kL)是晶体的一项重要物理特性,可应用于散热、绝缘和热电能量转换等热管理领域。然而,准确、快速地测定 kL 是一项相当大的挑战。在这项研究中,我们介绍了一种公式,它能实现高精度(平均相对误差=8.97%),并能在一分钟内快速预测各种无机二元和三元材料的 kL。我们的公式具有可解释性、尺寸对齐性和物理基础性,可预测材料项目数据库中 4,601 种二元材料和 6,995 种三元材料的 kL 值。值得注意的是,我们预测发现了室温下 AlBN2 的高 kL 值(kL=101 W/ m/ K)和未检测到的低 kLCs2Se(kL=0.98 W/ m/ K)。这种确定 kL 的方法简化了传统上与复合氙物理学相关的耗时过程。它提供了对微观热传输的洞察力,并通过声子工程的应用,促进了具有目标和极端 kL 值的材料的设计和筛选。我们的研究结果为通过设计材料的体积模量、剪切模量和格鲁尼森参数来控制和优化材料的宏观传输特性提供了机会。
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