Glassy Synaptic Time Dynamics in Molecular La0.7Sr0.3MnO3/Gaq3/AlOx/Co Spintronic Crossbar Devices

Author:

Shumilin Andrei1ORCID,Neha Prakriti23ORCID,Benini Mattia3ORCID,Rakshit Rajib3ORCID,Singh Manju3ORCID,Graziosi Patrizio3ORCID,Cecchini Raimondo4ORCID,Gnoli Luca3ORCID,Prezioso Mirko35ORCID,Bergenti Ilaria3ORCID,Dediu Valentin Alek3ORCID,Riminucci Alberto3ORCID

Affiliation:

1. Jozef Stefan Institute Jamova 39 Ljubljana SI‐1000 Slovenia

2. Microelectronics Research Center University of Texas Austin TX 78758 USA

3. Institute for the Study of Nanostructured Materials (ISMN) CNR Via Gobetti 101 Bologna 40129 Italy

4. Institute for Microelectronics and Microsystems (IMM) CNR Via Gobetti 101 Bologna 40129 Italy

5. Mentium Technologies Inc. 3448 Elings Hall University of California Santa Barbara CA 93106 USA

Abstract

AbstractThe development of neuromorphic devices is a pivotal step in the pursuit of low‐power artificial intelligence. A synaptic analog is one of the building blocks of this vision. The synaptic behavior of molecular La0.7Sr0.3MnO3/tris(8‐hydroxyquinolinato)gallium/AlOx/Co spintronic devices is studied, where the conductance plays the role of the synaptic weight. These devices are arranged in a crossbar configuration, the most effective architecture for the purpose. The conductance of each cross point is controlled separately by the application of voltage pulses: when set in the high conductance potentiated state, the devices show a spin‐valve magnetoresistance, while in the low conductance depressed state, no magnetoresistance is observed. The time dependence of the resistive switching behavior is an important parameter of the synaptic behavior and is very revealing of the underlying physical mechanisms. To study the time dynamics of the resistive switching after the voltage pulses, the response of the device to trains of potentiation and depression pulses, and the time‐resolved conductivity relaxation after the pulses are measured. The results are described with the conductivity model based on impurity energy levels in the organic semiconductor's gap. A flat distribution of the activation energies necessary to move these impurities is hypothesized, which can explain the observed glassy behavior.

Publisher

Wiley

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