Ti掺杂对ZrO2结构、电子、光学和热电性质的影响:系统DFT方法

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Muhammad Jawad, Sikander Azam, Amin Ur Rahman, Shafaat Hussain Mirza, Noor ul Amin, Abdul Shakoor, Muhammad Faizan
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引用次数: 0

摘要

本文利用wien2k代码中的密度泛函理论(DFT)计算,研究了(钛)Ti掺杂(25%和50%)对ZrO2的影响。Ef的负值(−2.14,−3.42和−2.31)以及能量-体积曲线显示了纯ZrO2、25%和50%掺杂ZrO2的稳定性。从能带结构和态密度结果证实,掺杂Ti后,ZrO2的带隙由间接变为直接,从3.10 eV减小到1.26(25%掺杂)/1.16(50%掺杂)。光学研究表明,Ti的加入显著改善了材料的光学性能,显示了这些材料在光电器件应用中的重要意义。利用玻尔兹曼输运理论研究了热电性质。计算了塞贝克系数、电导率、导热系数、功率因数和优值。所得结果表明,所研究的化合物是不同热电应用的最佳候选者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Ti Doping on the Structural, Electronic, Optical and Thermoelectric Properties of ZrO2: A Systematic DFT Approach
In this work, the density functional theory (DFT) calculations in wien2k code to investigate the effect of (Titanium) Ti doping (25% and 50%) in ZrO2 is utilized. The negative values of the Ef, i.e., −2.14, −3.42 and −2.31 as well as energy versus volume curves show the stability of pure, 25% and 50% doped ZrO2. From band structure and density of states results it is confirmed that upon doping Ti, the band gap of ZrO2 become direct from indirect and reduces from 3.10 eV to 1.26(25% doped)/1.16(50% doped). The optical investigations reveal that incorporation of Ti improved the optical properties significantly, which show the significance of these materials for optoelectronic device applications. The thermoelectric properties are investigated using the Boltzmann transport theory. The Seebeck coefficient, electronic conductivity, thermal conductivity, power factor and figure of merit is calculated. The obtained results show that the under study compounds are best candidates for different thermoelectric applications.
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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