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arXiv 2108.03056physics.chem-ph
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具有高阶路径积分的水的有效量子振动光谱:从体到界面

Efficient Quantum Vibrational Spectroscopy of Water with High-Order Path Integrals: from Bulk to Interfaces

Sam Shepherd, Jinggang Lan, David M. Wilkins, Venkat Kapil

摘要:

振动光谱是探测水溶液体系结构和动力学之间相互作用的关键。为了将实验光谱的不同区域映射到系统的微观结构,重要的是将它们与包含原子核量子性质的第一性原理原子模拟相结合。在这里,我们表明,大量的成本计算量子振动光谱的水溶液系统相比,标准的路径积分方法,可以显着减少使用近似量子动力学的基础上高阶路径积分。结合最先进的机器学习电子特性,我们的方法不仅对散装水的红外和拉曼光谱进行了出色的描述,而且还对水-空气界面的2D相关性和更具挑战性的和频生成光谱进行了出色的描述。这为理解复杂的界面铺平了道路,例如疏水和亲水材料之间或与疏水和亲水材料接触的水封装,通过稳健和廉价的表面敏感和多维光谱与第一原理的准确性。

英文摘要:

Vibrational spectroscopy is key for probing the interplay between the structure and dynamics of aqueous systems. In order to map different regions of experimental spectra to the microscopic structure of a system, it is important to combine them with first-principles atomistic simulations that incorporate the quantum nature of nuclei. Here, we show that the large cost of calculating quantum vibrational spectra of aqueous systems can be dramatically reduced compared to standard path integral methods by using approximate quantum dynamics based on high-order path integrals. Together with state-of-the-art machine-learned electronic properties, our approach gives an excellent description of the infrared and Raman spectra of bulk water, but also of 2D correlation and more challenging sum-frequency generation spectra of the water-air interface. This paves the way for understanding complex interfaces such as water encapsulated between or in contact with hydrophobic and hydrophilic materials, through robust and inexpensive surface sensitive and multidimensional spectra with first-principles accuracy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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