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通过量子力学预测极端条件下物质的晶体结构和性质:压力重重。

Predicting crystal structures and properties of matter under extreme conditions via quantum mechanics: the pressure is on.

作者信息

Zurek Eva, Grochala Wojciech

机构信息

Department of Chemistry, State University of New York at Buffalo, Buffalo, New York 14260-3000, USA.

出版信息

Phys Chem Chem Phys. 2015 Feb 7;17(5):2917-34. doi: 10.1039/c4cp04445b. Epub 2014 Nov 27.

Abstract

Experimental studies of compressed matter are now routinely conducted at pressures exceeding 1 mln atm (100 GPa) and occasionally at pressures greater than 10 mln atm (1 TPa). The structure and properties of solids that have been so significantly squeezed differ considerably from those of solids at ambient pressure (1 atm), often leading to new and unexpected physics. Chemical reactivity is also substantially altered in the extreme pressure regime. In this feature paper we describe how synergy between theory and experiment can pave the road towards new experimental discoveries. Because chemical rules-of-thumb established at 1 atm often fail to predict the structures of solids under high pressure, automated crystal structure prediction (CSP) methods are increasingly employed. After outlining the most important CSP techniques, we showcase a few examples from the recent literature that exemplify just how useful theory can be as an aid in the interpretation of experimental data, describe exciting theoretical predictions that are guiding experiment, and discuss when the computational methods that are currently routinely employed fail. Finally, we forecast important problems that will be targeted by theory as theoretical methods undergo rapid development, along with the simultaneous increase of computational power.

摘要

目前,对压缩物质的实验研究通常在超过100万个大气压(100吉帕斯卡)的压力下进行,偶尔也会在大于1000万个大气压(1太帕斯卡)的压力下开展。经过如此显著压缩的固体的结构和性质与常压(1个大气压)下的固体有很大不同,常常会产生新的、意想不到的物理现象。在极端压力条件下,化学反应性也会发生显著变化。在这篇专题论文中,我们描述了理论与实验之间的协同作用如何能够为新的实验发现铺平道路。由于在1个大气压下确立的化学经验法则常常无法预测高压下固体的结构,因此人们越来越多地采用自动化晶体结构预测(CSP)方法。在概述了最重要的CSP技术之后,我们展示了一些近期文献中的例子,这些例子说明了理论在帮助解释实验数据方面的实用性,描述了指导实验的令人兴奋的理论预测,并讨论了当前常规使用的计算方法在何时失效。最后,我们预测随着理论方法的迅速发展以及计算能力的同步提升,理论将针对的重要问题。

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