Journal Article FZJ-2022-03012

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Nanoionic memristive phenomena in metal oxides: the valence change mechanism

 ;  ;

2022
Taylor & Francis London

Advances in physics 70(2), 155-349 () [10.1080/00018732.2022.2084006]

This record in other databases:    

Please use a persistent id in citations:   doi:

Abstract: This review addresses resistive switching devices operating according to the bipolar valence change mechanism (VCM), which has become a major trend in electronic materials and devices over the last decade due to its high potential for non-volatile memories and future neuromorphic computing. We will provide detailed insights into the status of understanding of these devices as a fundament for their use in the different fields of application. The review covers the microscopic physics of memristive states and the switching kinetics of VCM devices. It is shown that the switching of all variants of VCM cells relies on the movement of mobile donor ions, which are typically oxygen vacancies or cation interstitials. VCM cells consist of three parts: an electronically active electrode (AE), often a metal with a high work function, in front of which the switching occurs, a mixed ionic-electronic conducting (MIEC) layer consisting of a nanometer-scale metal oxide or a stack of different metal oxides, and an ohmic counter electrode (OE). After an introduction to definitions and classification, the fundamentals of solid-state physics and chemistry associated with VCM cells are described, including redox processes and the role of electrodes. The microscopic changes induced by electroforming, a process often required prior to resistive switching, are described in terms of electronic initialization and subsequent changes in chemistry, structure, and conductivity. The switching process is discussed in terms of switching polarity, geometry of the switching region, and spectroscopic detection of the valence changes. Emphasis is placed on the extreme nonlinearity of switching kinetics described by physics-based multiscale modeling, ranging from ab initio methods to kinetic Monte Carlo and finite element models to compact models that can be used in circuit simulators. The review concludes with a treatment of the highly relevant reliability issues and a description of the failure mechanisms, including mutual trade-offs.

Classification:

Contributing Institute(s):
  1. Elektronische Materialien (PGI-7)
  2. JARA Institut Green IT (PGI-10)
  3. JARA-FIT (JARA-FIT)
Research Program(s):
  1. 5233 - Memristive Materials and Devices (POF4-523) (POF4-523)
  2. BMBF 16ES1133K - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC -, Teilvorhaben: Forschungszentrum Jülich (16ES1133K) (16ES1133K)

Appears in the scientific report 2022
Database coverage:
Medline ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 20 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
JARA > JARA > JARA-JARA\-FIT
Institutssammlungen > PGI > PGI-10
Institutssammlungen > PGI > PGI-7
Workflowsammlungen > Öffentliche Einträge
Workflowsammlungen > Publikationsgebühren
Publikationsdatenbank
Open Access

 Datensatz erzeugt am 2022-08-09, letzte Änderung am 2025-08-13