Mikheev et al., 2019 - Google Patents
Compact model of nonlinear dynamics while the cycling of a memristorMikheev et al., 2019
View PDF- Document ID
- 9802628531522340356
- Author
- Mikheev R
- Teplov G
- Matyushkin I
- Publication year
- Publication venue
- 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)
External Links
Snippet
The experimentally observed deviation of memristor's switching voltages at the cycling is considered as a phenomenon of deterministic chaos, and not as a truly random phenomenon. It is assumed that there is a nonlinear dynamics of two phase quantities: one …
- 230000001351 cycling 0 title abstract description 16
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kvatinsky et al. | Models of memristors for SPICE simulations | |
Vourkas et al. | SPICE modeling of nonlinear memristive behavior | |
Kvatinsky et al. | TEAM: Threshold adaptive memristor model | |
Bansal et al. | Memristor: a versatile nonlinear model for dopant drift and boundary issues | |
Kvatinsky et al. | Verilog-A for memristor models | |
Biolek et al. | Reliable modeling of ideal generic memristors via state-space transformation | |
US11024379B2 (en) | Methods and systems for highly optimized memristor write process | |
Mohamed et al. | Modeling of Memristive and Memcapacitive Behaviors in Metal‐Oxide Junctions | |
Zhevnenko et al. | Simulation of memristor switching time series in response to spike-like signal | |
Mikheev et al. | Compact model of nonlinear dynamics while the cycling of a memristor | |
Hajri et al. | Oxide-based RRAM models for circuit designers: A comparative analysis | |
Guseinov et al. | Capacitive effects can make memristors chaotic | |
Apollos | Memristor theory and mathematical modelling | |
Soni et al. | A review on different memristor modeling and applications | |
Setoudeh et al. | Nonlinear analysis and minimum L2-norm control in memcapacitor-based hyperchaotic system via online particle swarm optimization | |
Laiho et al. | Arithmetic operations within memristor-based analog memory | |
Yesil et al. | Emulator circuits and resistive switching parameters of memristor | |
Oğuz | Mathematical modeling of memristors | |
Anusudha et al. | Memristor and its applications: a comprehensive review | |
Chowdhury et al. | Trigonometric window functions for memristive device modeling | |
Mladenov et al. | An Improved Memristor Model and Applications | |
Saraswat et al. | Stochasticity invariance control in Pr1− x Ca x MnO3 RRAM to enable large-scale stochastic recurrent neural networks | |
Huang et al. | Analysis and modeling of resistive switching mechanism oriented to fault tolerance of resistive memory based on memristor | |
Raj et al. | Memristive Fractional-Order Nonlinear Model for Circuit Design | |
Jiménez-León et al. | A Two–Level Modeling Methodology for Memristive Devices |