Literature DB >> 31043748

Subthreshold firing in Mott nanodevices.

Javier Del Valle1, Pavel Salev2, Federico Tesler3,4, Nicolás M Vargas2, Yoav Kalcheim2, Paul Wang2, Juan Trastoy2,5, Min-Han Lee2, George Kassabian2, Juan Gabriel Ramírez6, Marcelo J Rozenberg7, Ivan K Schuller2.   

Abstract

Resistive switching, a phenomenon in which the resistance of a device can be modified by applying an electric field1-5, is at the core of emerging technologies such as neuromorphic computing and resistive memories6-9. Among the different types of resistive switching, threshold firing10-14 is one of the most promising, as it may enable the implementation of artificial spiking neurons7,13,14. Threshold firing is observed in Mott insulators featuring an insulator-to-metal transition15,16, which can be triggered by applying an external voltage: the material becomes conducting ('fires') if a threshold voltage is exceeded7,10-12. The dynamics of this induced transition have been thoroughly studied, and its underlying mechanism and characteristic time are well documented10,12,17,18. By contrast, there is little knowledge regarding the opposite transition: the process by which the system returns to the insulating state after the voltage is removed. Here we show that Mott nanodevices retain a memory of previous resistive switching events long after the insulating resistance has recovered. We demonstrate that, although the device returns to its insulating state within 50 to 150 nanoseconds, it is possible to re-trigger the insulator-to-metal transition by using subthreshold voltages for a much longer time (up to several milliseconds). We find that the intrinsic metastability of first-order phase transitions is the origin of this phenomenon, and so it is potentially present in all Mott systems. This effect constitutes a new type of volatile memory in Mott-based devices, with potential applications in resistive memories, solid-state frequency discriminators and neuromorphic circuits.

Entities:  

Year:  2019        PMID: 31043748     DOI: 10.1038/s41586-019-1159-6

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  15 in total

1.  Operando characterization of conductive filaments during resistive switching in Mott VO2.

Authors:  Shaobo Cheng; Min-Han Lee; Xing Li; Lorenzo Fratino; Federico Tesler; Myung-Geun Han; Javier Del Valle; R C Dynes; Marcelo J Rozenberg; Ivan K Schuller; Yimei Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-02       Impact factor: 11.205

2.  Inherent stochasticity during insulator-metal transition in VO2.

Authors:  Shaobo Cheng; Min-Han Lee; Richard Tran; Yin Shi; Xing Li; Henry Navarro; Coline Adda; Qingping Meng; Long-Qing Chen; R C Dynes; Shyue Ping Ong; Ivan K Schuller; Yimei Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

3.  Nanoscale self-organization and metastable non-thermal metallicity in Mott insulators.

Authors:  Andrea Ronchi; Paolo Franceschini; Andrea De Poli; Pía Homm; Ann Fitzpatrick; Francesco Maccherozzi; Gabriele Ferrini; Francesco Banfi; Sarnjeet S Dhesi; Mariela Menghini; Michele Fabrizio; Jean-Pierre Locquet; Claudio Giannetti
Journal:  Nat Commun       Date:  2022-06-28       Impact factor: 17.694

4.  Temperature-dependent infrared ellipsometry of Mo-doped VO2 thin films across the insulator to metal transition.

Authors:  S Amador-Alvarado; J M Flores-Camacho; A Solís-Zamudio; R Castro-García; J S Pérez-Huerta; E Antúnez-Cerón; J Ortega-Gallegos; J Madrigal-Melchor; V Agarwal; D Ariza-Flores
Journal:  Sci Rep       Date:  2020-05-22       Impact factor: 4.379

5.  Biologically Relevant Dynamical Behaviors Realized in an Ultra-Compact Neuron Model.

Authors:  Pablo Stoliar; Olivier Schneegans; Marcelo J Rozenberg
Journal:  Front Neurosci       Date:  2020-05-12       Impact factor: 4.677

6.  Nanoscale-femtosecond dielectric response of Mott insulators captured by two-color near-field ultrafast electron microscopy.

Authors:  Xuewen Fu; Francesco Barantani; Simone Gargiulo; Ivan Madan; Gabriele Berruto; Thomas LaGrange; Lei Jin; Junqiao Wu; Giovanni Maria Vanacore; Fabrizio Carbone; Yimei Zhu
Journal:  Nat Commun       Date:  2020-11-13       Impact factor: 14.919

7.  A Functional Spiking Neural Network of Ultra Compact Neurons.

Authors:  Pablo Stoliar; Olivier Schneegans; Marcelo J Rozenberg
Journal:  Front Neurosci       Date:  2021-02-25       Impact factor: 4.677

8.  Non-thermal resistive switching in Mott insulator nanowires.

Authors:  Yoav Kalcheim; Alberto Camjayi; Javier Del Valle; Pavel Salev; Marcelo Rozenberg; Ivan K Schuller
Journal:  Nat Commun       Date:  2020-06-12       Impact factor: 14.919

9.  A caloritronics-based Mott neuristor.

Authors:  Javier Del Valle; Pavel Salev; Yoav Kalcheim; Ivan K Schuller
Journal:  Sci Rep       Date:  2020-03-09       Impact factor: 4.379

10.  An artificial spiking afferent nerve based on Mott memristors for neurorobotics.

Authors:  Xumeng Zhang; Ye Zhuo; Qing Luo; Zuheng Wu; Rivu Midya; Zhongrui Wang; Wenhao Song; Rui Wang; Navnidhi K Upadhyay; Yilin Fang; Fatemeh Kiani; Mingyi Rao; Yang Yang; Qiangfei Xia; Qi Liu; Ming Liu; J Joshua Yang
Journal:  Nat Commun       Date:  2020-01-02       Impact factor: 14.919

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