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arXiv 2406.07313cond-mat.soft
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手性活性机器人的实验建模与非高斯位移的最小模型

Experimental Modeling of Chiral Active Robots and a Minimal Model of Non-Gaussian Displacements

Yuxuan Zhou, Maomao Ge, Ting Wang

AI总结:

本研究设计3D打印活性粒子,验证过阻尼手性ABP模型,并提出最小模型解释速度与位移分布的双峰转变,揭示活性运动与扩散竞争机制,增强对非高斯现象的理解。

摘要:

我们设计了3D打印的电机驱动活性粒子,并发现其动力学可通过过阻尼手性活性布朗粒子(ABPs)模型来表征,这一点由测量的角统计和平动均方位移(MSDs)所证实。此外,我们提出了一个最小模型,该模型重现了双峰速度分布,并进一步预测了在短时间区域内从单峰到双峰位移分布的转变。该模型为这些现象提供了清晰的物理图景,其源于活性运动与平动扩散之间的竞争。我们的实验证实了这一图景。最小模型增进了我们对活性驱动的非高斯现象的理解。所设计的粒子可进一步应用于集体手性运动的研究。

英文摘要:

We design 3D-printed motor-driven active particles and find that their dynamics can be characterized using the model of overdamped chiral active Brownian particles (ABPs), as demonstrated by measured angular statistics and translational mean squared displacements (MSDs). Furthermore, we propose a minimal model that reproduces the double-peak velocity distributions and further predicts a transition from the single-peak to the double-peak displacement distributions in short-time regimes. The model provides a clear physics picture of these phenomena, originating from the competition between the active motion and the translational diffusion. Our experiments confirm such picture. The minimal model enhances our understanding of activity-driven non-Gaussian phenomena. The designed particles could be further applied in the study of collective chiral motions.

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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