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X射线衍射数据作为多晶型系统中振动自由能贡献的来源。

X-ray diffraction data as a source of the vibrational free-energy contribution in polymorphic systems.

作者信息

Kofoed Phillip Miguel, Hoser Anna A, Diness Frederik, Capelli Silvia C, Madsen Anders Østergaard

机构信息

Department of Chemistry, University of Copenhagen, Copenhagen Denmark.

Biological and Chemical Research Centre, Department of Chemistry, University of Warsaw, Żwirki i Wigury 101, Warszawa 02-089, Poland.

出版信息

IUCrJ. 2019 May 8;6(Pt 4):558-571. doi: 10.1107/S2052252519003014. eCollection 2019 Jul 1.

DOI:10.1107/S2052252519003014
PMID:31316801
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6608639/
Abstract

In this contribution we attempt to answer a general question: can X-ray diffraction data combined with theoretical computations be a source of information about the thermodynamic properties of a given system? Newly collected sets of high-quality multi-temperature single-crystal X-ray diffraction data and complementary periodic DFT calculations of vibrational frequencies and normal mode vectors at the Γ point on the yellow and white polymorphs of di-methyl 3,6-di-chloro-2,5-di-hydroxy-terephthalate are combined using two different approaches, aiming to obtain thermodynamic properties for the two compounds. The first approach uses low-frequency normal modes extracted from multi-temperature X-ray diffraction data (normal coordinate analysis), while the other uses DFT-calculated low-frequency normal mode in the refinement of the same data (normal mode refinement). Thermodynamic data from the literature [Yang (1989), B, 312-323] and new periodic DFT supercell calculations are used as a reference point. Both approaches tested in this work capture the most essential features of the systems: the polymorphs are enantiotropically related, with the yellow form being the thermodynamically stable system at low temperature, and the white form at higher temperatures. However, the inferred phase transition temperature varies between different approaches. Thanks to the application of unconventional methods of X-ray data refinement and analysis, it was additionally found that, in the case of the yellow polymorph, anharmonicity is an important issue. By discussing contributions from low- and high-frequency modes to the vibrational entropy and enthalpy, the importance of high-frequency modes is highlighted. The analysis shows that larger anisotropic displacement parameters are not always related to the polymorph with the higher vibrational entropy contribution.

摘要

在本论文中,我们试图回答一个一般性问题:结合理论计算的X射线衍射数据能否成为获取给定体系热力学性质信息的来源?我们使用两种不同方法,将新收集的高质量多温度单晶X射线衍射数据集与二甲基3,6 - 二氯 - 2,5 - 二羟基对苯二甲酸黄色和白色多晶型物在Γ点的振动频率和简正模式向量的互补周期性密度泛函理论(DFT)计算相结合,旨在获得这两种化合物的热力学性质。第一种方法使用从多温度X射线衍射数据中提取的低频简正模式(简正坐标分析),而另一种方法在相同数据的精修中使用DFT计算的低频简正模式(简正模式精修)。来自文献[Yang (1989), B, 312 - 323]的热力学数据和新的周期性DFT超胞计算用作参考点。在本工作中测试的两种方法都捕捉到了体系的最基本特征:多晶型物是对映变体相关的,黄色晶型在低温下是热力学稳定体系,白色晶型在较高温度下是热力学稳定体系。然而,不同方法推断出的相变温度有所不同。由于应用了非常规的X射线数据精修和分析方法,还发现,在黄色多晶型物的情况下,非谐性是一个重要问题。通过讨论低频和高频模式对振动熵和焓的贡献,突出了高频模式的重要性。分析表明,较大的各向异性位移参数并不总是与具有较高振动熵贡献的多晶型物相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/a5efee7ed27b/m-06-00558-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/be7b303e6da8/m-06-00558-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/2ad30d437485/m-06-00558-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/a7f506c05965/m-06-00558-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/93f0891d93db/m-06-00558-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/c04096c8f977/m-06-00558-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/d0fd0d77948b/m-06-00558-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/4bc9644af382/m-06-00558-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/6bddd6497ea5/m-06-00558-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/a5efee7ed27b/m-06-00558-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/be7b303e6da8/m-06-00558-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/2ad30d437485/m-06-00558-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/a7f506c05965/m-06-00558-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/93f0891d93db/m-06-00558-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/c04096c8f977/m-06-00558-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/d0fd0d77948b/m-06-00558-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/4bc9644af382/m-06-00558-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/6bddd6497ea5/m-06-00558-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad9/6608639/a5efee7ed27b/m-06-00558-fig9.jpg

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