Granular memristors with tunable stochasticity

Memristor Dynamics
DOI: 10.1039/d4nr02899f Publication Date: 2024-12-02T09:58:51Z
ABSTRACT
This study explores dynamics of silver-based memristors under steadybias, revealing current fluctuations with power-law distribution. is analyzed using Marcus-Tang theory. has implications for encryption and computing.
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