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arXiv 1808.02537physics.app-phcond-mat.mes-hallcs.ET
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用于可切换逻辑函数和库计算的光刺激分子/纳米颗粒网络

Light-stimulable molecules/nanoparticles networks for switchable logical functions and reservoir computing

Y. Viero, D. Guerin, A. Vladyka, F. Alibart, S. Lenfant, M. Calame, D. Vuillaume

摘要:

我们报告的制造和电子输运性质的纳米粒子自组装网络(NPSAN)的分子开关(偶氮苯衍生物)互连的Au纳米粒子,我们展示了光驱动的开关逻辑操作相关的光控开关的分子。开关良率高达74%。我们还表明,这些NPSAN是倾向于光刺激水库计算。在这些高度连接和经常性的分子结网络中,电子输运和动力学的复杂非线性表现出库计算(RC)方法所需的丰富的高次谐波产生(HHG)。逻辑函数和HHG由分子在光照下的异构化控制。这些结果,在半导体器件中没有直接的类似物,为非常规计算中的分子电子学开辟了新的前景。

英文摘要:

We report the fabrication and electron transport properties of nanoparticles self-assembled networks (NPSAN) of molecular switches (azobenzene derivatives) interconnected by Au nanoparticles, and we demonstrate optically-driven switchable logical operations associated to the light controlled switching of the molecules. The switching yield is up to 74%. We also demonstrate that these NPSANs are prone for light-stimulable reservoir computing. The complex non-linearity of electron transport and dynamics in these highly connected and recurrent networks of molecular junctions exhibit rich high harmonics generation (HHG) required for reservoir computing (RC) approaches. Logical functions and HHG are controlled by the isomerization of the molecules upon light illumination. These results, without direct analogs in semiconductor devices, open new perspectives to molecular electronics in unconventional computing.

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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