神经形态纳米簇网络:基底在纳米连接形成中的关键作用

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

摘要

基于原子簇的网络代表了实现神经形态计算系统的一个有前途的架构,它可以克服当前计算范式的一些限制。簇间突触的形成和断裂对这些计算系统的功能至关重要。本文报道了沉积在碳衬底上的2.8纳米Au$_{1415}$团簇在高温下突触(桥)形成和热断裂过程的分子动力学模拟结果。至关重要的是,我们发现桥的形成过程是由金原子沿着衬底扩散驱动的,无论簇之间的间隙有多小。断桥过程的互补模拟揭示了通过焦耳加热触发断桥的阈值偏置电压的存在。这些结果提供了一个原子水平的基本动态过程的理解发生在神经形态簇阵列。
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Neuromorphic nanocluster networks: Critical role of the substrate in nano-link formation
Atomic cluster-based networks represent a promising architecture for the realization of neuromorphic computing systems, which may overcome some of the limitations of the current computing paradigm. The formation and breakage of synapses between the clusters are of utmost importance for the functioning of these computing systems. This paper reports the results of molecular dynamics simulations of synapse (bridge) formation at elevated temperatures and thermal breaking processes between 2.8 nanometer-sized Au$_{1415}$ clusters deposited on a carbon substrate, a model system. Crucially, we find that the bridge formation process is driven by the diffusion of gold atoms along the substrate, however small the gap between the clusters themselves. The complementary simulations of the bridge-breaking process reveal the existence of a threshold bias voltage to activate bridge rupture via Joule heating. These results provide an atomistic-level understanding of the fundamental dynamical processes occurring in neuromorphic cluster arrays.
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