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arXiv 1407.3579cond-mat.mes-hall
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自组织铁纳米粒子系统中热噪声诱导的随机共振

Thermal noise induced stochastic resonance in self organizing Fe nanoparticle system

Satyendra Prakash Pal, P Sen

摘要:

自然界中充满了多稳态系统的例子,已知它们响应周期性调制并产生信号,该信号与噪声振幅共振。这是一个在纯材料中没有证明的概念,纯材料涉及测量的物理性质。在一个thermoregeneration磁化实验与一个共同的磁性材料,铁,在纳米颗粒的形式,我们建立如何磁化在系统中的稀释自旋存储的磁能耗散过程中,打破了自发振荡行为。从175 K开始,在温度(随机噪声)的帮助下,振荡幅度经历了一个最大值,让人想起随机共振。我们观察到的热噪声诱导的相干共振是由于内在的自组织磁动力学的Fe纳米微粒系统,而不施加任何外部周期性的力量。这些结果为磁性材料的设计提供了新的可能性,并为理解神经活动中的随机干扰和相位同步提供了平台,作为神经通信的模型。

英文摘要:

The natural world is replete with examples of multistable systems, known to respond to periodic modulations and produce a signal, which exhibits resonance with noise amplitude. This is a concept not demonstrated in pure materials, which involve a measured physical property. In a thermoremanent magnetization experiment with a common magnetic material, Fe, in the nanoparticulate form, we establish how magnetization in a system of dilute spins during dissipation of stored magnetic energy, breaks up into spontaneous oscillatory behavior. Starting at 175 K and aided by temperature (stochastic noise) the oscillation amplitude goes through a maximum, reminiscent of stochastic resonance. Our observation of thermal noise induced coherent resonance is due to intrinsic self-organizing magnetic dynamics of the Fe nanoperticle system without applying any external periodic force. These results yield new possibilities in design of magnetic materials and a platform to understand stochastic interference and phase synchronization in neural activity, as models for neural communication.

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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