Published in

Wiley, Advanced Materials, 2023

DOI: 10.1002/adma.202308843

Links

Tools

Export citation

Search in Google Scholar

Achieving Reliable and Ultrafast Memristors via Artificial Filaments in Silk Fibroin

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

AbstractThe practical implementation of memristors in neuromorphic computing and biomimetic sensing suffers from unexpected temporal and spatial variations due to the stochastic formation and rupture of conductive filaments (CFs). Here, the biocompatible silk fibroin (SF) is patterned with an on‐demand nanocone array by using thermal scanning probe lithography (t‐SPL) to guide and confine the growth of CFs in the silver/SF/gold (Ag/SF/Au) memristor. Benefiting from the high fabrication controllability, cycle‐to‐cycle (temporal) standard deviation of the set voltage for the structured memristor is significantly reduced by ≈95.5% (from 1.535 to 0.0686 V) and the device‐to‐device (spatial) standard deviation is also reduced to 0.0648 V. Besides, the statistical relationship between the structural nanocone design and the resultant performance is confirmed, optimizing at the small operation voltage (≈0.5 V) and current (100 nA), ultrafast switching speed (sub‐100 ns), large on/off ratio (104), and the smallest switching slope (SS < 0.01 mV dec−1). Finally, the short‐term plasticity and leaky integrated‐and‐fire behavior are emulated, and a reliable thermal nociceptor system is demonstrated for practical neuromorphic applications.