计算多键碳氢化合物非谐波振动频率的重参数化半经验方法

IF 2.9 Q3 CHEMISTRY, PHYSICAL Electronic Structure Pub Date : 2022-11-18 DOI:10.1088/2516-1075/aca458
B. R. Westbrook, Joshua P Layfield, Timothy J. Lee, R. Fortenberry
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引用次数: 3

摘要

重新参数化的半经验方法可以将气相实验振动频率复制到24 cm−1或更好的范围内,从而将非谐波基本振动频率的计算成本降低100倍。为了实现这样的准确性和效率,本文对PM6半经验模型中的默认参数进行了优化,以再现C2H2、c-C3H2和C2H4这三个小烃分子的实验和高级理论振动光谱,希望这些相同的参数将适用于大的多环芳烃(PAHs)。这种大规模的成本降低允许计算显式非谐波频率,并包括已被证明对非谐波频率的精确预测至关重要的谐振校正。这种准确的预测是必要的,有助于解开迄今为止在不同天体周围观察到的、被假设是由多环芳烃引起的未经识别的红外光谱特征,特别是随着詹姆斯·韦伯太空望远镜即将涌入的观测数据。本文提出的优化的PM6参数代表了在这个方向上的实质性步骤,对于乙烯(C2H4)获得的那些参数与默认的PM6参量相比,基频的平均绝对误差减少了37%。
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Reparameterized semi-empirical methods for computing anharmonic vibrational frequencies of multiply-bonded hydrocarbons
Reparameterized semi-empirical methods can reproduce gas-phase experimental vibrational frequencies to within 24 cm−1 or better for a 100-fold decrease in computational cost in the anharmonic fundamental vibrational frequencies. To achieve such accuracy and efficiency, the default parameters in the PM6 semi-empirical model are herein optimized to reproduce the experimental and high-level theoretical vibrational spectra of three small hydrocarbon molecules, C2H2, c-C3H2, and C2H4, with the hope that these same parameters will be applicable to large polycyclic aromatic hydrocarbons (PAHs). This massive cost reduction allows for the computation of explicit anharmonic frequencies and the inclusion of resonance corrections that have been shown to be essential for accurate predictions of anharmonic frequencies. Such accurate predictions are necessary to help to disentangle the heretofore unidentified infrared spectral features observed around diverse astronomical bodies and hypothesized to be caused by PAHs, especially with the upcoming influx of observational data from the James Webb Space Telescope. The optimized PM6 parameters presented herein represent a substantial step in this direction with those obtained for ethylene (C2H4) yielding a 37% reduction in the mean absolute error of the fundamental frequencies compared to the default PM6 parameters.
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来源期刊
CiteScore
3.70
自引率
11.50%
发文量
46
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