神经形态纳米颗粒网络中纳米丝断裂的分子动力学模拟

Wenkai Wu, Theodoros Pavloudis, Alexey V. Verkhovtsev, Andrey V. Solov'yov, Richard E. Palmer
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引用次数: 0

摘要

神经形态计算系统可能是计算的未来,而基于集群的网络是实现这些系统的一个很有前途的体系结构。神经元簇间突触的产生和分解对它们的功能至关重要。在这项工作中,我们通过分子动力学模拟了位于两个金纳米颗粒之间的金纳米丝的热断裂,以研究基于神经形态纳米颗粒的器件的机制。我们采用不同长度($2-8$ nm)、宽度($0.4-0.8$ nm)和连接两个Au${1415}$纳米粒子(NPs)的形状的Au纳米线进行模拟,并通过详细的结构识别分析来监测系统的演变。我们发现纳米丝的原子逐渐聚集在一起,导致金属丝的中间逐渐变细,然后断裂。在这个过程中,系统的大部分仍然是结晶的,但中心是熔融的。末端NPs通过固定中间导线提高NWs的熔点,并作为再结晶区。我们报告了NWs的宽度和它们的长度结构有很强的依赖性。这些结果可以为基于集群的神经形态计算系统的实现提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular dynamics simulation of nanofilament breakage in neuromorphic nanoparticle networks
Neuromorphic computing systems may be the future of computing and cluster-based networks are a promising architecture for the realization of these systems. The creation and dissolution of synapses between the clusters are of great importance for their function. In this work, we model the thermal breakage of a gold nanofilament located between two gold nanoparticles via molecular dynamics simulations to study on the mechanisms of neuromorphic nanoparticle-based devices. We employ simulations of Au nanowires of different lengths ($2-8$ nm), widths ($0.4-0.8$ nm) and shapes connecting two Au$_{1415}$ nanoparticles (NPs) and monitor the evolution of the system via a detailed structural identification analysis. We found that atoms of the nanofilament gradually aggregate towards the clusters, causing the middle of the wire to gradually thin and then break. Most of the system remains crystalline during this process but the center is molten. The terminal NPs increase the melting point of the NWs by fixing the middle wire and act as recrystallization areas. We report a strong dependence on the width of the NWs, but also their length and structure. These results may serve as guidelines for the realization of cluster-based neuromorphic computing systems.
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