2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation 2014
DOI: 10.1109/uksim.2014.57
|View full text |Cite
|
Sign up to set email alerts
|

The Memory-Conservation Theory of Memristance

Abstract: The memristor, the recently discovered fundamental circuit element, is of great interest for neuromorphic computing, nonlinear electronics and computer memory. It is usually modelled either using Chua's equations, which lack material device properties, or using Strukov's phenomenological model (or models derived from it), which deviates from Chua's definitions due to the lack of a magnetic flux term. It is shown that by modelling the magnetostatics of the memory-holding ionic current (oxygen vacancies in the S… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
18
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
3
3

Relationship

2
4

Authors

Journals

citations
Cited by 18 publications
(18 citation statements)
references
References 13 publications
(24 reference statements)
0
18
0
Order By: Relevance
“…There are many window functions [22], [28], here just list three of them, the ones proposed by Joglekar et.al (the J for short) [37], Biolek et.al (the B for short) [15], and Chang et.al (the C for short) [21]:…”
Section: The Mathematical Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…There are many window functions [22], [28], here just list three of them, the ones proposed by Joglekar et.al (the J for short) [37], Biolek et.al (the B for short) [15], and Chang et.al (the C for short) [21]:…”
Section: The Mathematical Modelmentioning
confidence: 99%
“…A detail comparison between this model and the popular memristor models (The HP [15], the Gale [37], the Simmons [17], the TEAM [22], the compact [24], the Chang [21], the threshold [30], the PWL (piecewise linear) [31], the appropriate [32], the Zhang [23], the Li [16], the Fang [26], the Kim [25]), and the thermophoresis [18] is taken in Table II. We can find that the model as a 3D dynamical system gets a special advantage on describing various memristors with an average number of parameters.…”
Section: The Mathematical Modelmentioning
confidence: 99%
“…The total current, I is a sum of the electronic current, i e and ionic current, i v : I=inormale+inormalv. …”
Section: Theoretical Methodologymentioning
confidence: 99%
“…Thus, for step t , we can write I(t)=I(τ|t+xnormalvrΔI|t1), where the vertical bar means the expression is evaluated at that external time, that is, I(τ|t) would be the current due only to the decay of the short‐term memory as expected at time t after stimulation. The simulation we do is I(t)=inormale(t)+xnormalvrinormale(t1), where i e is calculated from the memory‐conservation theory and we have taken the assumption that I ( t ) is only due to i e (an assumption of ‘vanilla’ mem‐con theory ). Essentially, we have two decays happening with different timescales; the second term adds a second charge carrier which is lagging the electronic current more slowly.…”
Section: Theoretical Methodologymentioning
confidence: 99%
“…The memory-conservation model of memristance [18] is a recently announced theoretical model that relates real world q and ϕ to Chua's constitutive equations and has been successful in modeling our memristors [19]. The memory-conservation theory has the concept of a memory property, the physical or chemical attribute of the device that holds the memory of the device.…”
Section: The Memory-conservation Modelmentioning
confidence: 99%