Literature DB >> 23708238

On the physical properties of memristive, memcapacitive and meminductive systems.

Massimiliano Di Ventra1, Yuriy V Pershin.   

Abstract

We discuss the physical properties of realistic memristive, memcapacitive and meminductive systems. In particular, by employing the well-known theory of response functions and microscopic derivations, we show that resistors, capacitors and inductors with memory emerge naturally in the response of systems-especially those of nanoscale dimensions-subjected to external perturbations. As a consequence, since memristances, memcapacitances and meminductances are simply response functions, they are not necessarily finite. This means that, unlike what has always been argued in some literature, diverging and non-crossing input-output curves of all these memory elements are physically possible in both quantum and classical regimes. For similar reasons, it is not surprising to find memcapacitances and meminductances that acquire negative values at certain times during dynamics, while the passivity criterion of memristive systems imposes always a non-negative value on the resistance at any given time. We finally show that ideal memristors, namely those whose state depends only on the charge that flows through them (or on the history of the voltage), are subject to very strict physical conditions and are unable to protect their memory state against the unavoidable fluctuations, and therefore are susceptible to a stochastic catastrophe. Similar considerations apply to ideal memcapacitors and meminductors.

Entities:  

Year:  2013        PMID: 23708238     DOI: 10.1088/0957-4484/24/25/255201

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  10 in total

1.  The Missing Memristor has Not been Found.

Authors:  Sascha Vongehr; Xiangkang Meng
Journal:  Sci Rep       Date:  2015-06-25       Impact factor: 4.379

2.  Coexistence of memory resistance and memory capacitance in TiO2 solid-state devices.

Authors:  Iulia Salaoru; Qingjiang Li; Ali Khiat; Themistoklis Prodromakis
Journal:  Nanoscale Res Lett       Date:  2014-10-04       Impact factor: 4.703

3.  Self-assembled oxide films with tailored nanoscale ionic and electronic channels for controlled resistive switching.

Authors:  Seungho Cho; Chao Yun; Stefan Tappertzhofen; Ahmed Kursumovic; Shinbuhm Lee; Ping Lu; Quanxi Jia; Meng Fan; Jie Jian; Haiyan Wang; Stephan Hofmann; Judith L MacManus-Driscoll
Journal:  Nat Commun       Date:  2016-08-05       Impact factor: 14.919

Review 4.  Life and Understanding: The Origins of "Understanding" in Self-Organizing Nervous Systems.

Authors:  Yan M Yufik; Karl Friston
Journal:  Front Syst Neurosci       Date:  2016-12-09

5.  Solitonic Josephson-based meminductive systems.

Authors:  Claudio Guarcello; Paolo Solinas; Massimiliano Di Ventra; Francesco Giazotto
Journal:  Sci Rep       Date:  2017-04-24       Impact factor: 4.379

6.  Quantum Memristors with Superconducting Circuits.

Authors:  J Salmilehto; F Deppe; M Di Ventra; M Sanz; E Solano
Journal:  Sci Rep       Date:  2017-02-14       Impact factor: 4.379

7.  Two-Dimensional Brain Microtubule Structures Behave as Memristive Devices.

Authors:  María Del Rocío Cantero; Paula L Perez; Noelia Scarinci; Horacio F Cantiello
Journal:  Sci Rep       Date:  2019-08-27       Impact factor: 4.379

8.  Robust Memristor Networks for Neuromorphic Computation Applications.

Authors:  Dániel Hajtó; Ádám Rák; György Cserey
Journal:  Materials (Basel)       Date:  2019-10-31       Impact factor: 3.623

9.  Quantum memristors.

Authors:  P Pfeiffer; I L Egusquiza; M Di Ventra; M Sanz; E Solano
Journal:  Sci Rep       Date:  2016-07-06       Impact factor: 4.379

10.  The case for rejecting the memristor as a fundamental circuit element.

Authors:  Isaac Abraham
Journal:  Sci Rep       Date:  2018-07-20       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.