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Evaluating Charge Equilibration Methods To Generate Electrostatic Fields in Nanoporous Materials

机译:评估电荷平衡方法以在纳米多孔材料中产生静电场

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摘要

Charge equilibration (Qeq) methods can estimate the electrostatic potential of molecules and periodic frameworks by assigning point charges to each atom, using only a small fraction of the resources needed to compute density functional (DFT)-derived charges. This makes possible, for example, the computational screening of thousands of microporous structures to assess their performance for the adsorption of polar molecules. Recently, different variants of the original Qeq scheme were proposed to improve the quality of the computed point charges. One focus of this research was to improve the gas adsorption predictions in metal-organic frameworks (MOFs), for which many different structures are available. In this work, we review the evolution of the method from the original Qeq scheme, understanding the role of the different modifications on the final output. We evaluated the result of combining different protocols and set of parameters, by comparing the Qeq charges with high quality DFT-derived DDEC charges for 2338 MOF structures. We focused on the systematic errors that are attributable to specific atom types to quantify the final precision that one can expect from Qeq methods in the context of gas adsorption where the electrostatic potential plays a significant role, namely, CO2 and H2S adsorption. In conclusion, both the type of algorithm and the input parameters have a large impact on the resulting charges, and we draw some guidelines to help the user to choose the proper combination of the two for obtaining a meaningful set of charges. We show that, considering this set of MOFs, the accuracy of the original Qeq scheme is often still comparable with the most recent variants, even if it clearly fails in the presence of certain atom types, such as alkali metals.
机译:电荷平衡(QEQ)方法可以通过为每个原子分配点电荷来估计分子的静电电位和周期性框架,仅使用所需的小部分来计算密度函数(DFT)的电荷所需的资源。这使得例如可以进行数千种微孔结构的计算筛选,以评估它们对极性分子吸附的性能。最近,提出了原始QEQ方案的不同变体,以提高计算点电荷的质量。该研究的一个焦点是改善金属有机框架(MOF)的气体吸附预测,其中许多不同的结构可用。在这项工作中,我们从原始QEQ方案中审查了方法的演变,了解不同修改对最终输出的作用。我们通过比较了2338 MOF结构的高质量DFT导出的DDEC电荷的QEQ电荷来评估组合不同协议和一组参数的结果。我们专注于可归因于特定原子类型的系统误差,以量化可以从QEQ方法在气体吸附的背景下量化的最终精确度,其中静电势发挥着重要作用,即CO 2和H2S吸附。总之,算法类型和输入参数都对所产生的收费产生了很大的影响,我们提出了一些指导方针来帮助用户选择两个用于获得有意义的收费的适当组合。我们表明,考虑到这套MOF,原始QEQ方案的准确性通常仍然与最近的变种相当,即使它在存在某些原子类型的情况下显然未能,例如碱金属。

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    Ecole Polytech Fed Lausanne Lab Mol Simulat LSMO Inst Sci &

    Ingn Chim Rue Ind 17 CH-1951 Sion Valais Switzerland;

    Ecole Polytech Fed Lausanne Lab Mol Simulat LSMO Inst Sci &

    Ingn Chim Rue Ind 17 CH-1951 Sion Valais Switzerland;

    Koc Univ Dept Chem &

    Biol Engn Rumelifeneri Yolu TR-34450 Istanbul Turkey;

    Ecole Polytech Fed Lausanne Lab Mol Simulat LSMO Inst Sci &

    Ingn Chim Rue Ind 17 CH-1951 Sion Valais Switzerland;

    Koc Univ Dept Chem &

    Biol Engn Rumelifeneri Yolu TR-34450 Istanbul Turkey;

    Ecole Polytech Fed Lausanne Lab Mol Simulat LSMO Inst Sci &

    Ingn Chim Rue Ind 17 CH-1951 Sion Valais Switzerland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学键的量子力学理论;化学;
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