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arXiv 2302.04740cond-mat.softphysics.comp-ph
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手性自驱动杆系统中的涌现态

Emergent States in Systems of Chiral Self-Propelled Rods

Rüdiger Kürsten, Demian Levis

AI总结:

该研究针对受向列对齐作用与旋转噪声影响的二维手性自转自驱动粒子,结合两种平均场动力学理论识别出多种集群态,通过基于智能体的模拟验证了不同频率下的对应相态,并提出可避免模拟伪影的非标准技术。

摘要:

我们研究了二维环境中具有固有手性的自驱动粒子,这类粒子以固定频率自转,同时受到向列对齐相互作用和旋转噪声的影响。通过均匀平均场动力学理论与空间分辨平均场动力学理论两种方法,我们识别出多种不同的集群态。我们采用基于智能体的模拟验证了预测相的存在,具体而言,低频下存在均匀向列相,频率升高后则出现微集群图案相,该相以有限尺寸的向列团簇为特征。我们强调模拟过程中必须格外小心以避免伪影,并提出了一种非标准模拟技术来规避这类问题。

英文摘要:

We study inherently chiral self-propelled particles, self-rotating at a fixed frequency, in two dimensions, subjected to nematic alignment interactions and rotational noise. By means of both, homogeneous and spatially resolved mean field kinetic theory, we identify various different flocking states. We confirm the presence of the predicted phases using agent-based simulations, in particular, an homogeneous nematic phase at low frequencies, followed by a microflock pattern phase at larger frequencies, characterized by finite-size nematic clusters. We emphasize that special care has to be taken within the simulations in order to avoid artifacts, and present a non-standard simulation technique in order to avoid them.

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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