基于分子动力学的激光诱导空化泡方法:桥接实验和混合分析计算方法。

IF 3.9 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Sasan Rezaee*, Ebrahim Kadivar and Ould el Moctar, 
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引用次数: 0

摘要

空化现象及其重要性促使研究努力通过实验、分析和计算方法来表征其行为。然而,实验方法难以捕捉分子水平的细节;分析方法在应用和准确性上往往受到限制;而且计算技术可能会遗漏一些关键的物理现象,比如相变。为了解决这些限制,目前的研究引入了基于粗粒度(CG)模型的激光分子动力学(MD),作为在分子水平上研究空化气泡动力学的一种有前途的方法,包括成核、生长、崩溃、蒸发、相变、液-气相间以及随后的再生/崩溃循环。在环境条件和自由条件下对毫米尺度的气泡空化进行了实验研究。得到的观测结果被用来模拟激光与液体的相互作用。然后将该分析模型应用于MD方法来研究纳米气泡的动力学。模拟结果表明,将1 fJ的激光脉冲对准水会产生一个热等离子体,等离子体通过碰撞级联呈球形膨胀并产生纳米气泡。纳米气泡的最大半径为5.26 nm,并在17 ps内崩溃,随后是随后的再生/崩溃循环。在最大半径处,气液界面厚度为0.8 nm,密度范围为0.105 ~ 0.840 g/cm3。纳米泡内的冷蒸发温度为300 ~ 315 K,蒸汽密度为4.5 ~ 1.5+1.5 × 10-5 g/cm3。这些结果与实验数据一致,证实了所提出的基于md的算法在研究激光诱导空化纳米气泡方面的有效性。此外,该算法还可以推广到全原子模型模拟中研究激光辐射和空化作用下水或化学反应的自由基种类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Molecular Dynamics-Based Approach for Laser-Induced Cavitation Bubbles: Bridging Experimental and Hybrid Analytical–Computational Approaches

Molecular Dynamics-Based Approach for Laser-Induced Cavitation Bubbles: Bridging Experimental and Hybrid Analytical–Computational Approaches

Cavitation phenomena and their importance drive research efforts to characterize their behavior through experimental, analytical, and computational approaches. However, experimental approaches struggle to capture molecular-level details; analytical methods are often limited in application and accuracy; and computational techniques may miss key physical phenomena such as phase transitions. To address these limitations, the current study introduces laser-based molecular dynamics (MD) based on a coarse-grained (CG) model as a promising approach to investigate the dynamics of cavitation bubbles at the molecular-level, covering nucleation, growth, collapse, evaporation, phase transition, liquid–vapor interphase, and subsequent regrowth/collapse cycles. The research was performed with an experimental study on millimeter-scale bubble cavitation under ambient and free conditions. The obtained observations were used to model the laser–liquid interaction. This analytical model was then implemented in an MD method to investigate the dynamics of the nanobubbles. The simulations revealed that directing a 1 fJ laser pulse at water generates a hot plasma, which expands spherically through collision cascades and generates a nanobubble. The nanobubble grows to a maximum radius of 5.26 nm and collapses within 17 ps, followed by subsequent regrowth/collapse cycles. At maximum radius, the vapor–liquid interphase exhibits a thickness of 0.8 nm with a density range of 0.105 to 0.840 g/cm3. Cold evaporation temperatures ranging from 300 to 315 K and vapor density of 4.5–1.5+1.5 × 10–5 g/cm3 were captured inside the nanobubble. These results, which align with experimental data, confirm the effectiveness of the proposed MD-based algorithm in investigating laser-induced cavitation nanobubbles. Moreover, this algorithm can be extended to investigate radical species of water or chemical reactions under laser radiation and cavitation in all-atom model simulations.

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来源期刊
Langmuir
Langmuir 化学-材料科学:综合
CiteScore
6.50
自引率
10.30%
发文量
1464
审稿时长
2.1 months
期刊介绍: Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).
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