.png){kind=icon}
返回
Particle separation using high frequency alternating external fields
.png){kind=icon}
PRE
AI
DOI：10.1021/la015668l.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present results for a model that describes particle penetration through a medium. The particle motion is subjected to an alternating external field (bias). We employ theoretical considerations and computer simulations. A random walk model is utilized with an alternating bias factor in the probabilities of jumps, which selectively changes the mode of motion from a pure random walk to a regular ballistic, and the entire range in between. At relatively low bias values, a slower diffusion drift accompanies the particle oscillations. Thus, the particle can penetrate deeper into the bulk of the system. On the other hand, if the bias is sufficiently high, the random walk becomes forbidden. Under these conditions, the alternating bias forces particles to undergo a pure ballistic motion, oscillating inside a limited region of space, thus not being able to penetrate deeper into the system. We find that the threshold condition for the transition from random walk to ballistic motion is very sharp. Therefore, it is possible to separate different particles by adjusting bias to overshoot the jump probability of one sort of them and at the same time to be under the jump probability of the other sort of particles. This result could be of importance to explain the high sensibility of penetration through membranes.
Keyword:
INTERNET
NETWORKS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
5.4W
被引数:
10.6W
机构
暂无机构信息
引用论文
Raman and optical spectroscopic studies of small-to-large polaron crossover in the perovskite manganese oxides.png)
PHYSICAL REVIEW B
PHYSICAL REVIEW BIF3.7
PREAI
分享收藏Performance of Communication Network for Monitoring Utility Scale Photovoltaic Power PlantsEnergies
OAAI
EnergiesIF0
OAAI分享收藏分享收藏 没有更多内容
没有更多内容