有机分子晶体结构预测方法:最新进展。

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
David H Bowskill, Isaac J Sugden, Stefanos Konstantinopoulos, Claire S Adjiman, Constantinos C Pantelides
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引用次数: 20

摘要

预测一个给定的有机分子可能形成的晶体结构是一个重要的理论问题,对制药和农用化学工业等具有重要意义。正如过去二十年来组织的一系列六次盲测所证明的那样,晶体结构预测(CSP)方法取得了实质性进展,现在已经达到了可以开始应用于具有实际意义的系统的发展阶段。本文回顾了用于CSP的通用方法的最新进展,将它们放在一个共同的框架中,突出了它们的相似点和不同点。这篇综述讨论了构成当前研究工作的主要焦点的具体领域,以提高这些方法的可靠性和扩大适用性,并为该技术在未来十年的发展提供了一些观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crystal Structure Prediction Methods for Organic Molecules: State of the Art.

The prediction of the crystal structures that a given organic molecule is likely to form is an important theoretical problem of significant interest for the pharmaceutical and agrochemical industries, among others. As evidenced by a series of six blind tests organized over the past 2 decades, methodologies for crystal structure prediction (CSP) have witnessed substantial progress and have now reached a stage of development where they can begin to be applied to systems of practical significance. This article reviews the state of the art in general-purpose methodologies for CSP, placing them within a common framework that highlights both their similarities and their differences. The review discusses specific areas that constitute the main focus of current research efforts toward improving the reliability and widening applicability of these methodologies, and offers some perspectives for the evolution of this technology over the next decade.

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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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