Double Mpemba effect in the cooling of trapped colloids.

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2024-10-28 DOI:10.1063/5.0225749
Isha Malhotra, Hartmut Löwen
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Abstract

The Mpemba effect describes the phenomenon that a system at hot initial temperature cools faster than at an initial warm temperature in the same environment. Such an anomalous cooling has recently been predicted and realized for trapped colloids. Here, we investigate the freezing behavior of a passive colloidal particle by employing numerical Brownian dynamics simulations and theoretical calculations with a model that can be directly tested in experiments. During the cooling process, the colloidal particle exhibits multiple non-monotonic regimes in cooling rates, with the cooling time decreasing twice as a function of the initial temperature-an unexpected phenomenon we refer to as the Double Mpemba effect. In addition, we demonstrate that both the Mpemba and Double Mpemba effects can be predicted by various machine-learning methods, which expedite the analysis of complex, computationally intensive systems.

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被困胶体冷却过程中的双重姆彭巴效应。
姆彭巴效应描述了这样一种现象:在相同的环境中,初始温度较高的系统比初始温度较低的系统冷却得更快。这种反常冷却现象最近在被困胶体中得到了预测和实现。在这里,我们通过布朗动力学数值模拟和理论计算,研究了被动胶体粒子的冻结行为,并建立了一个可直接在实验中测试的模型。在冷却过程中,胶体粒子的冷却速率呈现出多种非单调状态,冷却时间是初始温度函数的两倍--我们将这一意想不到的现象称为双姆彭巴效应(Double Mpemba effect)。此外,我们还证明了姆彭巴效应和双姆彭巴效应都可以通过各种机器学习方法进行预测,从而加快对复杂、计算密集型系统的分析。
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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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