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基于第一性原理的可靠晶体结构预测。

Reliable crystal structure predictions from first principles.

作者信息

Nikhar Rahul, Szalewicz Krzysztof

机构信息

Department of Physics and Astronomy, University of Delaware, Newark, DE, 19716, USA.

出版信息

Nat Commun. 2022 Jun 2;13(1):3095. doi: 10.1038/s41467-022-30692-y.

Abstract

An inexpensive and reliable method for molecular crystal structure predictions (CSPs) has been developed. The new CSP protocol starts from a two-dimensional graph of crystal's monomer(s) and utilizes no experimental information. Using results of quantum mechanical calculations for molecular dimers, an accurate two-body, rigid-monomer ab initio-based force field (aiFF) for the crystal is developed. Since CSPs with aiFFs are essentially as expensive as with empirical FFs, tens of thousands of plausible polymorphs generated by the crystal packing procedures can be optimized. Here we show the robustness of this protocol which found the experimental crystal within the 20 most stable predicted polymorphs for each of the 15 investigated molecules. The ranking was further refined by performing periodic density-functional theory (DFT) plus dispersion correction (pDFT+D) calculations for these 20 top-ranked polymorphs, resulting in the experimental crystal ranked as number one for all the systems studied (and the second polymorph, if known, ranked in the top few). Alternatively, the polymorphs generated can be used to improve aiFFs, which also leads to rank one predictions. The proposed CSP protocol should result in aiFFs replacing empirical FFs in CSP research.

摘要

已开发出一种用于分子晶体结构预测(CSP)的廉价且可靠的方法。新的CSP协议从晶体单体的二维图开始,不使用任何实验信息。利用分子二聚体的量子力学计算结果,开发了一种精确的基于晶体的两体、刚性单体从头算力场(aiFF)。由于使用aiFF进行CSP的成本与使用经验力场(FF)基本相同,因此可以优化由晶体堆积程序生成的数以万计的合理多晶型物。在此,我们展示了该协议的稳健性,在15个研究分子中的每一个分子的20个最稳定预测多晶型物中都找到了实验晶体。通过对这20个排名靠前的多晶型物进行周期性密度泛函理论(DFT)加色散校正(pDFT+D)计算,进一步完善了排名,结果在所研究的所有系统中,实验晶体均排名第一(如果已知第二多晶型物,则排名在前几位)。或者,生成的多晶型物可用于改进aiFF,这也会导致预测结果排名第一。所提出的CSP协议应会使aiFF在CSP研究中取代经验FF。

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