利用二阶能量膨胀预测应力下固体体系的反应势垒

IF 1.1 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Canadian Journal of Chemistry Pub Date : 2023-02-14 DOI:10.1139/cjc-2022-0278
L. Laverdure, N. Mosey
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引用次数: 0

摘要

固态变换在许多科学技术领域都很重要。在此,一个模型用于预测稳态点的相对能量沿反应路径应力诱导的固体转化进行了评估和应用。该模型基于系统能量相对于单元胞的变化的二阶展开,并且需要少量的参数,这些参数可以通过量子化学计算获得。该模型与量子化学计算结果的比较表明,该模型在合理的应力范围内准确地再现了应力诱导转化过程中能量的变化。说明了应用该模型识别最可能促进期望反应的应力张量的程序。结果还表明,这一过程提供了对应力张量的形式与应力诱导的固态转变过程中能量变化之间的联系的见解。
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Predicting Reaction Barriers in Solid-State Systems Under Stress via Second-Order Energy Expansion
Solid state transformations are important in many areas of science and technology. Herein, a model for predicting the relative energies of stationary points along the reaction pathways for stress-induced solid state transformations is assessed and applied. The model is based on a second-order expansion of the energy of the system with respect to changes in the unit cell, and requires a small number of parameters that can be obtained through quantum chemical calculations. Comparison of the model with the results of quantum chemical calculations indicates that the model accurately reproduces changes in energy occurring during stress-induced transformations over a reasonable range of stresses. A procedure for applying the model to identify stress tensors that are most likely to promote a desired reaction is illustrated. The results also indicate that this procedure provides insight into the connection between the form of a stress tensor and the changes in energy occurring during a stress-induced solid state transformation.
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来源期刊
Canadian Journal of Chemistry
Canadian Journal of Chemistry 化学-化学综合
CiteScore
1.90
自引率
9.10%
发文量
99
审稿时长
1 months
期刊介绍: Published since 1929, the Canadian Journal of Chemistry reports current research findings in all branches of chemistry. It includes the traditional areas of analytical, inorganic, organic, and physical-theoretical chemistry and newer interdisciplinary areas such as materials science, spectroscopy, chemical physics, and biological, medicinal and environmental chemistry. Articles describing original research are welcomed.
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