Emulating Artificial Synaptic Plasticity Characteristics from SiO<sub>2</sub>-Based Conductive Bridge Memories with Pt Nanoparticles.

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作者： Panagiotis,Bousoulas ^[1] ; Charalampos,Papakonstantinopoulos ^[1] ; Stavros,Kitsios ^[1] ; Konstantinos,Moustakas ^[1] ; Georgios Ch,Sirakoulis ^[2] ; Dimitris,Tsoukalas ^[1]

作者单位： Department of Applied Physics, National Technical University of Athens, Iroon Polytechniou 9 Zografou, 15780 Athens, Greece. ^[1] Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece. ^[2]

关键词 conductance conducting filament diffusivity nanoparticles plasticity resistive memories synapses

DOI 10.3390/mi12030306

PMID 33804188

发布时间 2021-04-13

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2021年12卷3期

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Emulating Artificial Synaptic Plasticity Characteristics from SiO<sub>2</sub>-Based Conductive Bridge Memories with Pt Nanoparticles.

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Emulating Artificial Synaptic Plasticity Characteristics from SiO<sub>2</sub>-Based Conductive Bridge Memories with Pt Nanoparticles.

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