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基于机器学习势的线性烷烃CH的柔韧性和振动光谱动力学计算

Dynamics Calculations of the Flexibility and Vibrational Spectrum of the Linear Alkane CH, Based on Machine-Learned Potentials.

作者信息

Qu Chen, Houston Paul L, Conte Riccardo, Bowman Joel M

机构信息

Independent Researcher, Toronto, Ontario M9B0E3, Canada.

Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853, United States.

出版信息

J Phys Chem A. 2024 Dec 12;128(49):10713-10722. doi: 10.1021/acs.jpca.4c06943. Epub 2024 Dec 3.

Abstract

Hydrocarbons are the central feedstock of fuels, solvents, lubricants, and the starting materials for many synthetic materials, and thus the physical properties of hydrocarbons have received intense study. Among these, the molecular flexibility and the power and infrared spectroscopies are the focus of this paper. These are examined for the linear alkane CH using molecular dynamics (MD) calculations and recent machine-learned potentials. All MD calculations are microcanonical and start at the global linear minimum. The radius of gyration, the number of gauche bond conformations and the distributions of all C-C distances are reported as a function of the total internal energy and as a function of time. These are compared to the power spectra and to the double harmonic spectra of stationary points. Spectral features of the double harmonic spectra smoothly track structural differences, measured by the number of gauche conformations in the molecule. Preliminary calculations using the quantum local mode model for the CH-stretch are presented and satisfactorily capture anharmonic effects.

摘要

碳氢化合物是燃料、溶剂、润滑剂的核心原料,也是许多合成材料的起始原料,因此碳氢化合物的物理性质受到了深入研究。其中,分子柔韧性以及势能和红外光谱是本文的重点。本文使用分子动力学(MD)计算和最新的机器学习势对直链烷烃CH进行了研究。所有MD计算均为微正则系综,且从全局线性最小值开始。本文报告了回转半径、gauche键构象数以及所有C-C键距离的分布随总内能和时间的变化情况。将这些结果与驻点的功率谱和双谐波谱进行了比较。双谐波谱的光谱特征能够平滑地跟踪由分子中gauche构象数衡量的结构差异。本文还给出了使用量子局域模模型对CH伸缩振动进行的初步计算,该计算令人满意地捕捉到了非谐效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94a6/11647891/c620ce96f32b/jp4c06943_0001.jpg

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