Optimized infrared spectrum of ( H 2 O ) m : ( H C N ) n mixtures

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
D. P. Freitas, F. N. N. Pansini, A. J. C. Varandas
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引用次数: 0

Abstract

Using density functional theory at D3-B3LYP/aug-cc-pVDZ level combined with the conductor-like polarizable continuum model (CPCM) solvent model, a study of the IR spectrum of H 2 O :HCN mixtures is reported. The CPCM solvent effect notably enhances the accuracy of the IR spectra compared to gas-phase calculations, while the dielectric constant value has minimum impact on the final spectrum. An optimized methodology is suggested that effectively minimizes the root mean square deviation between theoretical and experimental data. This novel approach not only enhances the quality of the final IR spectra but also captures relevant spectral features, highlighting its potential to decipher molecular interactions in such intricate mixtures.

( H 2 O ) m : ( H C N ) n $$ {\left({H}_2O\right)}_m:{(HCN)}_n $ $ 混合物的优化红外光谱。
报告采用 D3-B3LYP/aug-cc-pVDZ 水平的密度泛函理论结合类导体极化连续体模型(CPCM)溶剂模型,研究了 H 2 O $$ {\mathrm{H}}_2\mathrm{O} $$ :HCN 混合物的红外光谱。与气相计算相比,CPCM 溶剂效应显著提高了红外光谱的精度,而介电常数值对最终光谱的影响最小。报告提出了一种优化方法,可有效地将理论数据与实验数据之间的均方根偏差降至最低。这种新方法不仅提高了最终红外光谱的质量,还捕捉到了相关的光谱特征,凸显了其解密此类复杂混合物中分子相互作用的潜力。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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