Granular memristors with tunable stochasticity
Memristor
Dynamics
DOI:
10.1039/d4nr02899f
Publication Date:
2024-12-02T09:58:51Z
AUTHORS (4)
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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