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分子晶体、复合材料和天然组织中的随机极性形成。

Stochastic polarity formation in molecular crystals, composite materials and natural tissues.

作者信息

Hulliger Jürg, Burgener Matthias, Hesterberg Rolf, Sommer Martin, Brahimi Khadidja, Aboulfadl Hanane

机构信息

Department of Chemistry and Biochemistry, University of Bern, Freiestrasse 3, Bern CH-3012, Switzerland.

出版信息

IUCrJ. 2017 May 24;4(Pt 4):360-368. doi: 10.1107/S205225251700700X. eCollection 2017 Jul 1.

Abstract

This topical review summarizes the theoretical and experimental findings obtained over the last 20 years on the subject of growth-induced polarity formation driven by a Markov chain process. When entering the growing surface of a molecular crystal, an inorganic-organic composite or a natural tissue, the building blocks may undergo 180° orientational disorder. Driven by configurational entropy, faulted orientations can promote the conversion of a growing non-polar seed into an object showing polar domains. Similarly, orientational disorder at the interface may change a polar seed into a two-domain state. Analytical theory and Monte Carlo simulations were used to model polarity formation. Scanning pyroelectric, piezoresponse force and phase-sensitive second-harmonic microscopies are methods for investigating the spatial distribution of polarity. Summarizing results from different types of materials, a general principle is provided for obtaining growth-induced polar domains: a non-zero difference in the probabilities for 180° orientational misalignments of building blocks, together with uni-directional growth, along with Markov chain theory, can produce objects showing polar domains.

摘要

本专题综述总结了过去20年中在由马尔可夫链过程驱动的生长诱导极性形成这一主题上所获得的理论和实验结果。当进入分子晶体、无机-有机复合材料或天然组织的生长表面时,结构单元可能会经历180°的取向无序。在构型熵的驱动下,有缺陷的取向可以促进生长中的非极性晶种转变为显示极性畴的物体。同样,界面处的取向无序可能会将极性晶种转变为双畴状态。分析理论和蒙特卡罗模拟被用于对极性形成进行建模。扫描热释电显微镜、压电响应力显微镜和相敏二次谐波显微镜是研究极性空间分布的方法。总结不同类型材料的结果,提供了一个获得生长诱导极性畴的一般原则:结构单元180°取向错位概率的非零差异,以及单向生长,再结合马尔可夫链理论,可以产生显示极性畴的物体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fa7/5571799/8534eac710df/m-04-00360-fig1.jpg

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