Literature DB >> 34243265

Current-limiting amplifier for high speed measurement of resistive switching data.

T Hennen1, E Wichmann1, A Elias2, J Lille2, O Mosendz2, R Waser1, D J Wouters1, D Bedau2.   

Abstract

Resistive switching devices, important for emerging memory and neuromorphic applications, face significant challenges related to the control of delicate filamentary states in the oxide material. As a device switches, its rapid conductivity change is involved in a positive feedback process that would lead to runaway destruction of the cell without current, voltage, or energy limitation. Typically, cells are directly patterned on MOS transistors to limit the current, but this approach is very restrictive as the necessary integration limits the materials available as well as the fabrication cycle time. In this article, we propose an external circuit to cycle resistive memory cells, capturing the full transfer curves while driving the cells in a way that suppresses runaway transitions. Using this circuit, we demonstrate the acquisition of 105 I, V loops per second without using on-wafer current limiting transistors. This setup brings voltage sweeping measurements to a relevant timescale for applications and enables many new experimental possibilities for device evaluation in a statistical context.

Entities:  

Year:  2021        PMID: 34243265     DOI: 10.1063/5.0047571

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  1 in total

1.  A high throughput generative vector autoregression model for stochastic synapses.

Authors:  Tyler Hennen; Alexander Elias; Jean-François Nodin; Gabriel Molas; Rainer Waser; Dirk J Wouters; Daniel Bedau
Journal:  Front Neurosci       Date:  2022-08-18       Impact factor: 5.152

  1 in total

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