Unifying thermochemistry concepts in computational heterogeneous catalysis†

IF 40.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Bjarne Kreitz, Gabriel S. Gusmão, Dingqi Nai, Sushree Jagriti Sahoo, Andrew A. Peterson, David H. Bross, C. Franklin Goldsmith and Andrew J. Medford
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引用次数: 0

Abstract

Thermophysical properties of adsorbates and gas-phase species define the free energy landscape of heterogeneously catalyzed processes and are pivotal for an atomistic understanding of the catalyst performance. These thermophysical properties, such as the free energy or the enthalpy, are typically derived from density functional theory (DFT) calculations. Enthalpies are species-interdependent properties that are only meaningful when referenced to other species. The widespread use of DFT has led to a proliferation of new energetic data in the literature and databases. However, there is a lack of consistency in how DFT data is referenced and how the associated enthalpies or free energies are stored and reported, leading to challenges in reproducing or utilizing the results of prior work. Additionally, DFT suffers from exchange–correlation errors that often require corrections to align the data with other global thermochemical networks, which are not always clearly documented or explained. In this review, we introduce a set of consistent terminology and definitions, review existing approaches, and unify the techniques using the framework of linear algebra. This set of terminology and tools facilitates the correction and alignment of energies between different data formats and sources, promoting the sharing and reuse of ab initio data. Standardization of thermochemistry concepts in computational heterogeneous catalysis reduces computational cost and enhances fundamental understanding of catalytic processes, which will accelerate the computational design of optimally performing catalysts.

Abstract Image

Abstract Image

统一计算多相催化中的热化学概念
吸附物和气相物质的热物理性质决定了多相催化过程的自由能分布,对于从原子角度理解催化剂的性能至关重要。这些热物理性质,如自由能或焓,通常是由密度泛函理论(DFT)计算得出的。焓是一种依赖于物种的特性,只有在参考其他物种时才有意义。DFT的广泛使用导致了文献和数据库中新的有活力数据的激增。然而,在如何引用DFT数据以及如何存储和报告相关的焓或自由能方面缺乏一致性,导致在再现或利用先前工作的结果方面存在挑战。此外,DFT还存在交换相关误差,这些误差通常需要校正才能使数据与其他全球热化学网络保持一致,而这些数据并不总是被清楚地记录或解释。在这篇综述中,我们介绍了一组一致的术语和定义,回顾了现有的方法,并统一了使用线性代数框架的技术。这组术语和工具有助于不同数据格式和来源之间的能量校正和对齐,促进从头算数据的共享和重用。计算多相催化中热化学概念的标准化降低了计算成本,增强了对催化过程的基本理解,这将加速优化催化剂的计算设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Society Reviews
Chemical Society Reviews 化学-化学综合
CiteScore
80.80
自引率
1.10%
发文量
345
审稿时长
6.0 months
期刊介绍: Chemical Society Reviews is published by: Royal Society of Chemistry. Focus: Review articles on topics of current interest in chemistry; Predecessors: Quarterly Reviews, Chemical Society (1947–1971); Current title: Since 1971; Impact factor: 60.615 (2021); Themed issues: Occasional themed issues on new and emerging areas of research in the chemical sciences
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