气态金属氢氧化物和氧氢氧化物化合物数据库

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Charles W. Bauschlicher Jr , Nathan S. Jacobson , Cameron J. Bodenschatz
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引用次数: 0

摘要

本研究使用计算方法得出了 Sc、Fe、Co、Ni 和 Hf 氢氧化物和氧氢氧化物的热化学数据。如前所述,分子几何和振动模式是通过 DFT 方法推导出来的;而对于形成焓,则需要采用计算密集度更高的耦合簇方法。对于每种物质,ΔH(298)、S(298) 和 C 的形式为 A + BT + CT + D/T + E/T,其中 A、B、C、D 和 E 为拟合常数。这些计算与之前报告的 Al、Cr、Si、Ta、Al、Zr、Y、Yb、Gd 和 Mn 的计算相结合,建立了一个金属氢氧化物和氧氢氧化物化合物数据库。图中显示了高温水蒸气应用的计算样本。数据库的大部分内容都是通过计算生成的;不过,对于许多物种来说,实验都是至关重要的基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compound database for gaseous metal hydroxides and oxyhydroxides

In this study computational methods are used to derive thermochemical data for Sc, Fe, Co, Ni, and Hf hydroxides and oxyhydroxides. As done previously, molecular geometries and vibrational modes were derived with DFT methods; for the enthalpies of formation more computationally intensive coupled cluster methods were necessary. For each species ΔfHo(298), So(298), and Cp in the form A + BT + CT2 + D/T + E/T2 with A, B, C, D, and E fitted constants are presented. These are combined with previously reported calculations for Al, Cr, Si, Ta, Al, Zr, Y, Yb, Gd, and Mn to build a compound database for metal hydroxides and oxyhydroxides. Sample calculations for applications where high temperature water vapor is encountered are shown. The majority of the database was generated from ab initio calculations; however, experiments were critical benchmarks for many of the species.

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来源期刊
CiteScore
4.00
自引率
16.70%
发文量
94
审稿时长
2.5 months
期刊介绍: The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference.
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