SlideShare a Scribd company logo
1 of 5
Download to read offline
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 31-35, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 31
Modeling and Simulation of Memristor using SPICE Model
J.Jayarahini1
and M.Udhayavani2
1
PG Student, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: rahinijai6@gmail.com
2
Assistant Professor, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: udhayavani21@gmail.com
Article Received: 20 February 2017 Article Accepted: 28 February 2017 Article Published: 02 March 2017
1. INTRODUCTION
In circuit theory there are three basic two-terminal devices
namely-resistor, capacitor, and inductor. These elements are
defined by the relation between two of the four fundamental
circuit variables- current i, voltage v, charge q and fluxφ,
where the time derivative of charge q is current i and
according to Faradays laws voltage v is the time derivative of
fluxφ. The resistor is defined with the relation between the
voltage v and current i as dv = Rdi. The capacitor is defined
with the relation between the charge q and voltage v is
expressed as dq=Cdv. The inductor is defined with the
relation between the flux φ and current i as dφ = Ldi. The
discovery of the existence of the fourth fundamental circuit
element came to light in 1971 when Prof. Leon Chua
proposed the missing relation between charge q and the flux φ
through symmetry in figure 1 [1].
Fig.1. The four fundamental two-terminal circuit elements
Leon Chua named the element as memristor, which is the
short for memory resistor. The memristor has a memristance
M and the functional relation between flux φ and charge q is
given by dφ=Mdq. The already known passive two-terminal
devices are the basic building blocks of modern electronics
and are therefore ubiquitous in circuits. But we know that
though some elements store information they eventually
decay out. Even if the state of one element changes, the
information about the new state would be lost once the power
is turned on and wait sometime. This basic point may seem
irrelevant but fundamentally this is very crucial. The capacity
to store information without the need of a power source would
represent a paradigm change.
2. BASIC MEMRISTOR PROPERTIES
The memristor based on a lean film of titanium oxide has been
presented as an approximately ideal device. Since then a large
deal of efforts has been spent in the research community to
study the manufacture and characteristics of memristors. The
name Memristor itself indicates its functioning as a resistor
having memory of its previous condition. From the
circuit-theoretic top of view, the three basic two-terminal
circuit elements are defined in terms of a relationship between
two of the four fundamental circuit variables. Out of the six
possible combinations of these our variables, five have led to
well-known relationships. Three other relationships are given,
respectively, by the axiomatic definition of the three classical
circuit elements, namely, the resistor, the inductor and the
capacitor as stated in Table 1. Only one relationship remains
undefined, the relationship between φ and q. It is nothing but
the memristance.
Table 1. Fundamental Variables of Electrical Circuits
Sl. No. Definition Equation
1 Voltage (v) dφ = vdt
2 Current (i) dq = idt
3 Resistance (R) dv = Rdi
4 Capacitance (C) dq = Cdv
5 Inductance (L) dφ = Ldi
6 Memristance (M) dφ = Mdq
ABSTRACT
In evolution of memory technology the invention of memristor has colossal impact. It is the memory with resistor as its name indicates its function.
The development of memristor as the non-volatile memory device replaces the flash memory and for this reason it is compared to flash memory for
the better understanding of the memristor. The demand for high scalability, speed and endurance, the CMOS technology has limitation for the current
lithography technology. As the result it is hard to supply the increasing demand for the non-volatile memory with high density. The only hope for the
semiconductor industry is memristor by easier way to increase storage density. These larger storage density The increasing demand for high capacity
,high speed and lower priced acts as the force for the research in this field. The performance and the proposing innovation towards the development
of the memristor is simulated using the LTspice for new technology.
Keywords: Memristor and LTspice.
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 31-35, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 32
3. ORIGIN OF MEMRISTORS
Leon Chua noted that there are six different mathematical
relations connecting pairs of the four fundamental circuit
variables current i, voltage v, charge q and flux φ. The relation
between these variable is deduced from Faradays law of
Induction. A resistor is defined by the relationship between
voltage v and current I (do = Rid), the capacitor is defined by
the relationship between charge q and voltage v (dq = Cdv)
and the inductor is defined by the relationship between flux φ
and current i dφ = Ldi. In addition, the current i is defined as
the time derivative of the charge q and according to Faradays
law, the voltage v is defined as the time derivative of the flux
φ. This relation is shown in the figure 2 [2].
According to this theory all matter consists of earth, water, air
and fire. Each of these elements exhibits two of the four
fundamental properties moistness, dryness, coldness and
hotness. So depending on the above theory he saw a striking
resemblance and predicted the existence of the fourth kind of
element and called it memristor. The physical memristor
device is essentially an a.c device, or else the d.c
electromagnetic fields would give rise to non-negligible
zero-order fields.
Fig.2.The Relation between the Circuit Elements
4. DEFINITION OF MEMRISTOR
Memristor is a contraction of memory resistor because its
main function is to remember its history. The memristor is a
two-terminal device whose resistance depends on the
magnitude and polarity of the voltage applied to it and the
length of the time that voltage has been applied. When this
voltage is turned off the memristor remembers its most recent
resistance until the next time you turn it on. The simple model
of this is as shown in figure3 [3].
Fig.3. Simple Model of Memristor
Memristor is either said to be a charge controlled or a flux
controlled depending upon the relation between the flux φ and
the charge q as a function of the other. For a charge controlled
memristor the relation between flux and charge is expressed
as a function of electric charge q [2],
) (1)
By differentiating (1) we get,
(2)
(3)
(4)
(5)
For a flux controlled memristor the relation between flux and
charge is expressed as a function of flux linkage φ [2],
(6)
(7)
(8)
5. CHARACTERISTICS OF MEMRISTORS
5.1 I-V characteristics
An important characteristic of a memristor is the pinched
hysteresis loop current- voltage characteristics [2]. For a
memristor excited by a periodic signal, when the voltage v(t)
is 0, the current i(t) is zero and vice versa. If any device has
the above characteristics, then the device is either a memristor
or a memristive device. The characteristics are as shown in
figure 4[7].
Fig.4. The Pinched Hysteresis Loop
5.2 φ-q Characteristics of Memristor
One of the main characteristics of φ-q of a memristor is it is
monotonically increasing. The memristance M(q) is the slope
of the φ-q curve. Prof. Leon Chua postulated a passivity
criterion, according to which a memristor is passive if and
only if the memristance M (q) is non-negative [5]. If M(q) 0,
then the instantaneous power dissipated by the memristor, p(i)
= M(q):[i(t)] 2, is always positive and so the memristor is a
passive device [6].The typical curves are as shown in figure 5.
Fig.5. The φ-q curve of Memristor
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 31-35, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 33
6. LTSPICE MODEL OF MEMRISTOR
Biolek provided the Spice model of the memristor. Though
PSpice and LTSpice are similar in the nature of their analysis,
but even though there wasn’t any analysis done in LTSpice.
So I tried using LTSpice to be the basis of my simulation. The
listing for the LTSpice model is included in the appendix. The
model generated by me in LTSpice is as shown in figure 6.
The passing current from memristor in one way will increase
the resistance while changing the direction of the applied
current will decrease its memristance.
Fig.6. Symbol of the Memristor Model in LTSpice
The total resistance of the doped and undoped regions of a HP
memrister is given by,
(9)
(10)
Where x = w/D ε(0,1) is the thickness of the doped region,
referenced to the total length D of the TiO2 layer, and Roff
and Ron are the limit values of the memristor resistance for
w=0 and w=D. The ratio of the two resistances is given. The
speed of the movement of the boundary between the doped
and undoped regions depend on the resistance of the doped
area, on the passing current, and on other factors according to
the equation given by,
… (11)
… (12)
Where is the dopant mobility. As
mentioned in [9], in nanoscale devices, small voltages can
yield enormous electric fields, which can secondarily produce
significant nonlinearities in ionic transport. These non
linearities manifest themselves particularly at the thin film
edges, where the speed of boundary between the doped and
undoped regions gradually reduces to zero. This
phenomenon, called nonlinear dopant drift, can be modeled
by the so-called window function f(x).
6.1 Different Types of Window Function
1) Jogelkar window
2) Biolek window
3) Strukov window
4) Prodromakis window
5) Kvatinsky window
7. SIMULATION RESULTS-USING LTSPICE MODEL
For the simulation of the memristor for its desired
characteristics, the width D of the TiO2 film is considered to
be 10nm and the dopant mobility. The values assumed for
Ron = 100Ω, Roff = 16k Ω and the initial resistance Rinit =
11k ΩD=10N, uv=10F, p=10. The circuit symmetry is shown
in figure. The simulation results are shown in figure 10 and
figure 11 Parameter details for Transient Non-Linear Domain
Analysis Ron=100Ω, Roff=16KΩ, Rinit=11KΩ, D=10N,
uv=10F, p=10, Stop time = 3 seconds, Maximum time step =
3m.
Fig.7. Memristor Model Circuit
Fig.8. Input Voltage Applied to the Memristor
Input source voltage parameter details:
Ron=100Ω, Roff=16KΩ , Rinit=11KΩ, D=10N, uv=10F,
p=10, Sine wave with Amplitude = 1V, Frequency = 1Hz,
Time delay = 1 sec.
(a) (b)
Fig.9.(a) The Current through Memristor and (b)
Current-Verses-Voltage
Fig.10.Transient Non-Liner Time Domain Analysis Result of
a Memrister Model Using LT Spice
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 31-35, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 34
Fig.11.Transient Non-Liner Analysis Result(a): F(1 Hz),
Td(0), A(1V)
Ron=100Ω, Roff=16KΩ , Rinit=11KΩ, D=10N, uv=10F,
p=10, Stop time = 3 seconds, maximum time step = 3m, Sine
wave with Amplitude = 1V, Frequency = 1Hz, with out any
time delay.
8. CONCLUSION
The impact that the memristor can have on the existing
technology is vast. This report presents the detail study of
memristors and also shows some worked out applications.
The memristor is modeled in LTSpice using the existing
model is proposed and plotted by the use of LTSpice.
Memristors has certainly showed a lot of promise and also has
the potential to be another milestone in the lane of evolution
of technology for superior. It was rightly said by Prof. Leon
Chua that all the engineering text books have to be re-written.
The future design of NV RAM design is implemented and
analyzed using LTSpice software.
Spice Model of a Non Linear Memristor Using LTspice
.SUBCKT memristor plus minus PARAMS
+ Ron=100 Roff=16K Rinit=11K D=10N uv=10F p=10
Differential Equation Modeling
Gx 0 x value={I(Emem)*uv*Ron/D**2*f(V(x),p)}
Cx x 0 1 IC={(Roff-Rinit)/(Roff-Ron)}
Raux x 0 1T
Resistive Port of The Memristor
Emem plus aux value={-I(Emem)*V(x)*(Roff-Ron)}
Roff aux minus {Roff}
Flux Computation
Eflux flux 0 value={SDT(V(plus,minus))}
Charge Computation
Echarge charge 0 value={SDT(I(Emem))}
For Non-Linear Drift Modeling
.func f(x,p)={1-(2*x-1)**(2*p)}
Proposed Jogelkar Window Function
.func f(x,i,p)={x(1-(2*x/(D-1))**(2*p))}
.ENDS memristor
//Another Reference Spice Model of a Mon Linear
Memrister with Various values of Ron, Roff and Window
Function codes using LTSpice
*Modified HP Memristor SPICE Model
**************************
* Ron, Roff - Resistance in ON / OFF States
* Rinit - Resistance at T=0
* D - Width of the thin film
* uv - Migration coefficient
* p - Parameter of the WINDOW-function
* for modeling nonlinear boundary conditions
REFERENCES
[1] Yasmin Halawani, Baker Mohammad, Dirar
Homouz,Mahmoud Al-Qutayri and Hani Saleh, “Modeling
and Optimization of Memristor and STT-RAM-Based
Memory for Low-Power Applications” June 2015 IEEE,
1063-8210.
[2] A.Kavehei.S. O, Kim.Y.S and Abbott.D, “The fourth
element: Characteristics, modelling, and electromagnetic
theory of the memristor”, in http:// arxiv.org/abs /1002.3210.
[3] Benderli.S and Wey.T.A, “On SPICE macromodelling of
TiO2 memristors”, in IET Electronics Lett., vol. 45, pp.
377-379, 2009.
[4] Biolek.D. B. Z and BiolkovaV, “Spice model of
memristor with nonlinear dopant drift”, in Radio engineering
J., vol. 18, 2009, pp. 210-214.
[5] Biolek.Z, Biolek.Dand Biolkova.V, “SPICE Model of
Memristor withNon-linear Dopant Drift”, in Radio
engineering, vol. 18, pp. 210-214, June 2009.
[6] Chua.L, “Memristor- the missing circiut element”, in
IEEE Trans. Circuit Theory, vol. CT-18, 1971, pp. 507519.
[7] Fano.L.C.R.M. (1960) and Adler.R, “Electromagnetic
fields, energy and forces”, in Proceedings of IEEE Congress
on Evolutionary Computation (CEC-2002), New York,
USA.,
[8] Joglekar.Y and Wolf.S, “The elusive memristor:
properties of basic electrical circuits”, in arXiv:0807.3994,
vol. 2, 2009, pp. 1-24.
[9] Joglekar.Y.Nand Wolf.S.J, “The Elusive Memristor:
Properties of Basic Electrical Circuits”, in European Journal
of Physics, vol. 30, pp. 661-675, 2009.
[10] Kvatinsky.A.K.S, Friedman.E.G and Weiser.U,
“Memristor and related application”.
[11] Mahuash.A.C.P.M, “A memristor spice model for
designing memristor circuits”.
[12] http://nature.berkeley.edu/Memristor.pdf.
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 31-35, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 35
[13] Strukov.D.B, Snider.G.S, Stewart.D.R and
Williams.R.S, “The Missing Memristor Found”, in Nature,
vol. 453, pp. 83-86, May 2008.
[14] Strukov.D.S.D.B, SniderG.Sand Williams.R, “The
missing memristor found”, in Nature, vol. 453, 2008, pp.
80-83.
[15] Williams.R, (2008), “How we found the missing
memristor”, in IEEE Spectrum, vol. 45, pp. 2835.

More Related Content

What's hot

Analytical modeling of electric field distribution in dual material junctionl...
Analytical modeling of electric field distribution in dual material junctionl...Analytical modeling of electric field distribution in dual material junctionl...
Analytical modeling of electric field distribution in dual material junctionl...VLSICS Design
 
transmission line
transmission line transmission line
transmission line Suchit Bhatt
 
LOW POWER FOLDED CASCODE OTA
LOW POWER FOLDED CASCODE OTALOW POWER FOLDED CASCODE OTA
LOW POWER FOLDED CASCODE OTAVLSICS Design
 
Presentation on Scaling
Presentation on ScalingPresentation on Scaling
Presentation on ScalingRaviraj Kaur
 
Ee8402 inductance calculation
Ee8402 inductance calculationEe8402 inductance calculation
Ee8402 inductance calculationSugavanam KR
 
Memristor Modeling Using PSPICE
Memristor Modeling Using PSPICEMemristor Modeling Using PSPICE
Memristor Modeling Using PSPICEIJERA Editor
 
Cladding effects on silica directional couplers
Cladding effects on silica directional couplersCladding effects on silica directional couplers
Cladding effects on silica directional couplersTELKOMNIKA JOURNAL
 
Lecture 09 em transmission lines
Lecture 09   em transmission linesLecture 09   em transmission lines
Lecture 09 em transmission linesAmit Rastogi
 
EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...
EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...
EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...VLSICS Design
 
Cntl model paper
Cntl model paperCntl model paper
Cntl model papersce,bhopal
 
Transmission Line Basics
Transmission Line BasicsTransmission Line Basics
Transmission Line BasicsJohn Williams
 
Physics CBSE solution 2012
Physics CBSE solution 2012Physics CBSE solution 2012
Physics CBSE solution 2012studymate
 
Inductance of transmission line
Inductance of transmission lineInductance of transmission line
Inductance of transmission lineAnisur Rahman
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marksDr.SHANTHI K.G
 
1st ieee-publication
1st ieee-publication1st ieee-publication
1st ieee-publicationJoy Chowdhury
 
PERFORMANCE OF TRANSMISSION LINES:
PERFORMANCE OF TRANSMISSION LINES:PERFORMANCE OF TRANSMISSION LINES:
PERFORMANCE OF TRANSMISSION LINES:Duddu Rajesh
 

What's hot (19)

Analytical modeling of electric field distribution in dual material junctionl...
Analytical modeling of electric field distribution in dual material junctionl...Analytical modeling of electric field distribution in dual material junctionl...
Analytical modeling of electric field distribution in dual material junctionl...
 
transmission line
transmission line transmission line
transmission line
 
LOW POWER FOLDED CASCODE OTA
LOW POWER FOLDED CASCODE OTALOW POWER FOLDED CASCODE OTA
LOW POWER FOLDED CASCODE OTA
 
Presentation on Scaling
Presentation on ScalingPresentation on Scaling
Presentation on Scaling
 
Ee8402 inductance calculation
Ee8402 inductance calculationEe8402 inductance calculation
Ee8402 inductance calculation
 
Memristor Modeling Using PSPICE
Memristor Modeling Using PSPICEMemristor Modeling Using PSPICE
Memristor Modeling Using PSPICE
 
Cladding effects on silica directional couplers
Cladding effects on silica directional couplersCladding effects on silica directional couplers
Cladding effects on silica directional couplers
 
Lecture 09 em transmission lines
Lecture 09   em transmission linesLecture 09   em transmission lines
Lecture 09 em transmission lines
 
AC TRANSMISSION by Dr. Kundur
AC TRANSMISSION by Dr. Kundur AC TRANSMISSION by Dr. Kundur
AC TRANSMISSION by Dr. Kundur
 
EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...
EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...
EFFECT OF EQUAL AND MISMATCHED SIGNAL TRANSITION TIME ON POWER DISSIPATION IN...
 
Cntl model paper
Cntl model paperCntl model paper
Cntl model paper
 
Transmission Line Basics
Transmission Line BasicsTransmission Line Basics
Transmission Line Basics
 
Physics CBSE solution 2012
Physics CBSE solution 2012Physics CBSE solution 2012
Physics CBSE solution 2012
 
00103262
0010326200103262
00103262
 
Short channel modified
Short channel modifiedShort channel modified
Short channel modified
 
Inductance of transmission line
Inductance of transmission lineInductance of transmission line
Inductance of transmission line
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 
1st ieee-publication
1st ieee-publication1st ieee-publication
1st ieee-publication
 
PERFORMANCE OF TRANSMISSION LINES:
PERFORMANCE OF TRANSMISSION LINES:PERFORMANCE OF TRANSMISSION LINES:
PERFORMANCE OF TRANSMISSION LINES:
 

Viewers also liked

Vesceral Control on Electric Gadgets by Smartphones for Smart Abode Environment
Vesceral Control on Electric Gadgets by Smartphones for Smart Abode EnvironmentVesceral Control on Electric Gadgets by Smartphones for Smart Abode Environment
Vesceral Control on Electric Gadgets by Smartphones for Smart Abode EnvironmentAssociate Professor in VSB Coimbatore
 
Energy Efficient Full Adders for Arithmetic Applications Based on GDI Logic
Energy Efficient Full Adders for Arithmetic Applications Based on GDI LogicEnergy Efficient Full Adders for Arithmetic Applications Based on GDI Logic
Energy Efficient Full Adders for Arithmetic Applications Based on GDI LogicAssociate Professor in VSB Coimbatore
 
Implementation of High Performance Carry Save Adder Using Domino Logic
Implementation of High Performance Carry Save Adder Using Domino LogicImplementation of High Performance Carry Save Adder Using Domino Logic
Implementation of High Performance Carry Save Adder Using Domino LogicAssociate Professor in VSB Coimbatore
 
An Efficient Low Power Convolutional Coding with Viterbi Decoding using FSM
An Efficient Low Power Convolutional Coding with Viterbi Decoding using FSMAn Efficient Low Power Convolutional Coding with Viterbi Decoding using FSM
An Efficient Low Power Convolutional Coding with Viterbi Decoding using FSMAssociate Professor in VSB Coimbatore
 
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO ProcessorReal Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO ProcessorAssociate Professor in VSB Coimbatore
 
Design and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder Circuit
Design and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder CircuitDesign and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder Circuit
Design and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder CircuitAssociate Professor in VSB Coimbatore
 
Ration Material Distribution and Stock Information Interchange using Finger P...
Ration Material Distribution and Stock Information Interchange using Finger P...Ration Material Distribution and Stock Information Interchange using Finger P...
Ration Material Distribution and Stock Information Interchange using Finger P...Associate Professor in VSB Coimbatore
 
Artificial Bee Colony algorithm for Localization in Wireless Sensor Networks
Artificial Bee Colony algorithm for Localization in Wireless Sensor NetworksArtificial Bee Colony algorithm for Localization in Wireless Sensor Networks
Artificial Bee Colony algorithm for Localization in Wireless Sensor NetworksAssociate Professor in VSB Coimbatore
 
Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...
Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...
Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...Associate Professor in VSB Coimbatore
 
Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...
Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...
Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...Associate Professor in VSB Coimbatore
 
Design of Three-Input XOR/XNOR using Systematic Cell Design Methodology
Design of Three-Input XOR/XNOR using Systematic Cell Design MethodologyDesign of Three-Input XOR/XNOR using Systematic Cell Design Methodology
Design of Three-Input XOR/XNOR using Systematic Cell Design MethodologyAssociate Professor in VSB Coimbatore
 
Design of a High Directive Gain Reconfigurable Circular Patch Antenna
Design of a High Directive Gain Reconfigurable Circular Patch AntennaDesign of a High Directive Gain Reconfigurable Circular Patch Antenna
Design of a High Directive Gain Reconfigurable Circular Patch AntennaAssociate Professor in VSB Coimbatore
 
Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...
Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...
Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...Associate Professor in VSB Coimbatore
 

Viewers also liked (20)

Vesceral Control on Electric Gadgets by Smartphones for Smart Abode Environment
Vesceral Control on Electric Gadgets by Smartphones for Smart Abode EnvironmentVesceral Control on Electric Gadgets by Smartphones for Smart Abode Environment
Vesceral Control on Electric Gadgets by Smartphones for Smart Abode Environment
 
Energy Efficient Full Adders for Arithmetic Applications Based on GDI Logic
Energy Efficient Full Adders for Arithmetic Applications Based on GDI LogicEnergy Efficient Full Adders for Arithmetic Applications Based on GDI Logic
Energy Efficient Full Adders for Arithmetic Applications Based on GDI Logic
 
Implementation of High Performance Carry Save Adder Using Domino Logic
Implementation of High Performance Carry Save Adder Using Domino LogicImplementation of High Performance Carry Save Adder Using Domino Logic
Implementation of High Performance Carry Save Adder Using Domino Logic
 
An Efficient Low Power Convolutional Coding with Viterbi Decoding using FSM
An Efficient Low Power Convolutional Coding with Viterbi Decoding using FSMAn Efficient Low Power Convolutional Coding with Viterbi Decoding using FSM
An Efficient Low Power Convolutional Coding with Viterbi Decoding using FSM
 
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO ProcessorReal Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
 
Clean India Android APP
Clean India Android APPClean India Android APP
Clean India Android APP
 
Industrial Safety Measurement using Sensors and Voice Announcement
Industrial Safety Measurement using Sensors and Voice AnnouncementIndustrial Safety Measurement using Sensors and Voice Announcement
Industrial Safety Measurement using Sensors and Voice Announcement
 
Design and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder Circuit
Design and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder CircuitDesign and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder Circuit
Design and Analysis of Low Power High Speed Hybrid logic 8-T Full Adder Circuit
 
Industrial Monitoring System Using Wireless Sensor Networks
Industrial Monitoring System Using Wireless Sensor NetworksIndustrial Monitoring System Using Wireless Sensor Networks
Industrial Monitoring System Using Wireless Sensor Networks
 
Ration Material Distribution and Stock Information Interchange using Finger P...
Ration Material Distribution and Stock Information Interchange using Finger P...Ration Material Distribution and Stock Information Interchange using Finger P...
Ration Material Distribution and Stock Information Interchange using Finger P...
 
Artificial Bee Colony algorithm for Localization in Wireless Sensor Networks
Artificial Bee Colony algorithm for Localization in Wireless Sensor NetworksArtificial Bee Colony algorithm for Localization in Wireless Sensor Networks
Artificial Bee Colony algorithm for Localization in Wireless Sensor Networks
 
A Virtual Reality Based Driving System
A Virtual Reality Based Driving SystemA Virtual Reality Based Driving System
A Virtual Reality Based Driving System
 
Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...
Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...
Real-Time Monitoring and Assessment of Circuit Breaker Operations for Diagnos...
 
Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...
Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...
Tele-Robotic Surgical Arm System with Efficient Tactile Sensors in the Manipu...
 
Smart Phone-Based Peak Expiratory Flow Meter
Smart Phone-Based Peak Expiratory Flow MeterSmart Phone-Based Peak Expiratory Flow Meter
Smart Phone-Based Peak Expiratory Flow Meter
 
Pisciculture Environment Control Using Automated Monitoring System
Pisciculture Environment Control Using Automated Monitoring SystemPisciculture Environment Control Using Automated Monitoring System
Pisciculture Environment Control Using Automated Monitoring System
 
Design of Three-Input XOR/XNOR using Systematic Cell Design Methodology
Design of Three-Input XOR/XNOR using Systematic Cell Design MethodologyDesign of Three-Input XOR/XNOR using Systematic Cell Design Methodology
Design of Three-Input XOR/XNOR using Systematic Cell Design Methodology
 
Design of a High Directive Gain Reconfigurable Circular Patch Antenna
Design of a High Directive Gain Reconfigurable Circular Patch AntennaDesign of a High Directive Gain Reconfigurable Circular Patch Antenna
Design of a High Directive Gain Reconfigurable Circular Patch Antenna
 
Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...
Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...
Design of Power Efficient 4x4 Multiplier Based On Various Power Optimizing Te...
 
Safety for School Children Transport Enhancement System
Safety for School Children Transport Enhancement SystemSafety for School Children Transport Enhancement System
Safety for School Children Transport Enhancement System
 

Similar to Modeling and Simulation of Memristor using SPICE Model

Memristor report
Memristor reportMemristor report
Memristor reportAkash Garg
 
Quantitative Modeling and Simulation of Single-Electron Transistor
Quantitative Modeling and Simulation of Single-Electron TransistorQuantitative Modeling and Simulation of Single-Electron Transistor
Quantitative Modeling and Simulation of Single-Electron TransistorIRJET Journal
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)ijceronline
 
MPC 1 exam june 2022 marking key.pdf
MPC 1 exam june 2022 marking key.pdfMPC 1 exam june 2022 marking key.pdf
MPC 1 exam june 2022 marking key.pdfDavy40
 
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICESDESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICESmsejjournal
 
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICESDESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICESmsejjournal
 
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...ijcsa
 
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4IJERA Editor
 
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4IJERA Editor
 
Memristor-Capacitor Based Startup Circuit for Voltage Reference Generators
Memristor-Capacitor Based Startup Circuit for Voltage Reference GeneratorsMemristor-Capacitor Based Startup Circuit for Voltage Reference Generators
Memristor-Capacitor Based Startup Circuit for Voltage Reference Generatorsmangal das
 
experiential learning of scld.pptx
experiential learning of scld.pptxexperiential learning of scld.pptx
experiential learning of scld.pptxAMITKUMAR938671
 
Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets
Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets
Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets iosrjce
 

Similar to Modeling and Simulation of Memristor using SPICE Model (20)

Take
TakeTake
Take
 
Memristors
MemristorsMemristors
Memristors
 
Memristor report
Memristor reportMemristor report
Memristor report
 
Quantitative Modeling and Simulation of Single-Electron Transistor
Quantitative Modeling and Simulation of Single-Electron TransistorQuantitative Modeling and Simulation of Single-Electron Transistor
Quantitative Modeling and Simulation of Single-Electron Transistor
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
 
Memristor - The Missing Element
Memristor - The Missing ElementMemristor - The Missing Element
Memristor - The Missing Element
 
Study and simulation with VHDL-AMS of the electrical impedance of a piezoelec...
Study and simulation with VHDL-AMS of the electrical impedance of a piezoelec...Study and simulation with VHDL-AMS of the electrical impedance of a piezoelec...
Study and simulation with VHDL-AMS of the electrical impedance of a piezoelec...
 
Memristor
MemristorMemristor
Memristor
 
MPC 1 exam june 2022 marking key.pdf
MPC 1 exam june 2022 marking key.pdfMPC 1 exam june 2022 marking key.pdf
MPC 1 exam june 2022 marking key.pdf
 
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICESDESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
 
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICESDESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
DESIGN OF DIFFERENT DIGITAL CIRCUITS USING SINGLE ELECTRON DEVICES
 
Memristor
 Memristor Memristor
Memristor
 
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
 
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
 
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
Self-controllable Voltage Level Technique to reduce leakage current in DRAM 4×4
 
Memristor-Capacitor Based Startup Circuit for Voltage Reference Generators
Memristor-Capacitor Based Startup Circuit for Voltage Reference GeneratorsMemristor-Capacitor Based Startup Circuit for Voltage Reference Generators
Memristor-Capacitor Based Startup Circuit for Voltage Reference Generators
 
experiential learning of scld.pptx
experiential learning of scld.pptxexperiential learning of scld.pptx
experiential learning of scld.pptx
 
Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets
Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets
Design of Integrated LC Filter Using Multilayer Flexible Ferrite Sheets
 
F010613543
F010613543F010613543
F010613543
 
Ijaerv10n9spl 473
Ijaerv10n9spl 473Ijaerv10n9spl 473
Ijaerv10n9spl 473
 

More from Associate Professor in VSB Coimbatore

Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...
Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...
Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...Associate Professor in VSB Coimbatore
 
Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...
Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...
Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...Associate Professor in VSB Coimbatore
 
Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...
Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...
Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...Associate Professor in VSB Coimbatore
 
A Systematic Review on Various Factors Influencing Employee Retention
A Systematic Review on Various Factors Influencing Employee RetentionA Systematic Review on Various Factors Influencing Employee Retention
A Systematic Review on Various Factors Influencing Employee RetentionAssociate Professor in VSB Coimbatore
 
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...Associate Professor in VSB Coimbatore
 
Determine the Importance Level of Criteria in Creating Cultural Resources’ At...
Determine the Importance Level of Criteria in Creating Cultural Resources’ At...Determine the Importance Level of Criteria in Creating Cultural Resources’ At...
Determine the Importance Level of Criteria in Creating Cultural Resources’ At...Associate Professor in VSB Coimbatore
 
New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...
New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...
New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...Associate Professor in VSB Coimbatore
 
A Review on the Distribution, Nutritional Status and Biological Activity of V...
A Review on the Distribution, Nutritional Status and Biological Activity of V...A Review on the Distribution, Nutritional Status and Biological Activity of V...
A Review on the Distribution, Nutritional Status and Biological Activity of V...Associate Professor in VSB Coimbatore
 
Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture
Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture
Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture Associate Professor in VSB Coimbatore
 
Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...
Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...
Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...Associate Professor in VSB Coimbatore
 
Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...
Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...
Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...Associate Professor in VSB Coimbatore
 
Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...
Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...
Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...Associate Professor in VSB Coimbatore
 
Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...
Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...
Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...Associate Professor in VSB Coimbatore
 
Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal  Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal Associate Professor in VSB Coimbatore
 
Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal  Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal Associate Professor in VSB Coimbatore
 
Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...
Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...
Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...Associate Professor in VSB Coimbatore
 

More from Associate Professor in VSB Coimbatore (20)

Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...
Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...
Usmonkhoja Polatkhoja’s Son and His Role in National Liberation Movements of ...
 
Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...
Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...
Flood Vulnerability Mapping using Geospatial Techniques: Case Study of Lagos ...
 
Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...
Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...
Improvement in Taif Roses’ Perfume Manufacturing Process by Using Work Study ...
 
A Systematic Review on Various Factors Influencing Employee Retention
A Systematic Review on Various Factors Influencing Employee RetentionA Systematic Review on Various Factors Influencing Employee Retention
A Systematic Review on Various Factors Influencing Employee Retention
 
Digital Planting Pot for Smart Irrigation
Digital Planting Pot for Smart Irrigation  Digital Planting Pot for Smart Irrigation
Digital Planting Pot for Smart Irrigation
 
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...
 
Determine the Importance Level of Criteria in Creating Cultural Resources’ At...
Determine the Importance Level of Criteria in Creating Cultural Resources’ At...Determine the Importance Level of Criteria in Creating Cultural Resources’ At...
Determine the Importance Level of Criteria in Creating Cultural Resources’ At...
 
New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...
New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...
New One-Pot Synthetic Route and Spectroscopic Characterization of Hydroxo-Bri...
 
A Review on the Distribution, Nutritional Status and Biological Activity of V...
A Review on the Distribution, Nutritional Status and Biological Activity of V...A Review on the Distribution, Nutritional Status and Biological Activity of V...
A Review on the Distribution, Nutritional Status and Biological Activity of V...
 
Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture
Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture
Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture
 
Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...
Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...
Saliva: An Economic and Reliable Alternative for the Detection of SARS-CoV-2 ...
 
Ecological Footprint of Food Consumption in Ijebu Ode, Nigeria
Ecological Footprint of Food Consumption in Ijebu Ode, NigeriaEcological Footprint of Food Consumption in Ijebu Ode, Nigeria
Ecological Footprint of Food Consumption in Ijebu Ode, Nigeria
 
Mass & Quark Symmetry
Mass & Quark SymmetryMass & Quark Symmetry
Mass & Quark Symmetry
 
Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...
Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...
Biocompatible Molybdenum Complexes Based on Terephthalic Acid and Derived fro...
 
Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...
Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...
Influence of Low Intensity Aerobic Exercise Training on the Vo2 Max in 11 to ...
 
Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...
Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...
Effects of Planting Ratio and Planting Distance on Kadaria 1 Hybrid Rice Seed...
 
Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal  Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal
 
Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal  Study of the Cassava Production System in the Department of Tivaouane, Senegal
Study of the Cassava Production System in the Department of Tivaouane, Senegal
 
Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...
Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...
Burnout of Nurses in Nursing Homes: To What Extent Age, Education, Length of ...
 
Hepatitis and its Transmission Through Needlestick Injuries
Hepatitis and its Transmission Through Needlestick Injuries Hepatitis and its Transmission Through Needlestick Injuries
Hepatitis and its Transmission Through Needlestick Injuries
 

Recently uploaded

Churning of Butter, Factors affecting .
Churning of Butter, Factors affecting  .Churning of Butter, Factors affecting  .
Churning of Butter, Factors affecting .Satyam Kumar
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
Effects of rheological properties on mixing
Effects of rheological properties on mixingEffects of rheological properties on mixing
Effects of rheological properties on mixingviprabot1
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxwendy cai
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptSAURABHKUMAR892774
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 

Recently uploaded (20)

Churning of Butter, Factors affecting .
Churning of Butter, Factors affecting  .Churning of Butter, Factors affecting  .
Churning of Butter, Factors affecting .
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
Effects of rheological properties on mixing
Effects of rheological properties on mixingEffects of rheological properties on mixing
Effects of rheological properties on mixing
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.ppt
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 

Modeling and Simulation of Memristor using SPICE Model

  • 1. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 31-35, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 31 Modeling and Simulation of Memristor using SPICE Model J.Jayarahini1 and M.Udhayavani2 1 PG Student, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: rahinijai6@gmail.com 2 Assistant Professor, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: udhayavani21@gmail.com Article Received: 20 February 2017 Article Accepted: 28 February 2017 Article Published: 02 March 2017 1. INTRODUCTION In circuit theory there are three basic two-terminal devices namely-resistor, capacitor, and inductor. These elements are defined by the relation between two of the four fundamental circuit variables- current i, voltage v, charge q and fluxφ, where the time derivative of charge q is current i and according to Faradays laws voltage v is the time derivative of fluxφ. The resistor is defined with the relation between the voltage v and current i as dv = Rdi. The capacitor is defined with the relation between the charge q and voltage v is expressed as dq=Cdv. The inductor is defined with the relation between the flux φ and current i as dφ = Ldi. The discovery of the existence of the fourth fundamental circuit element came to light in 1971 when Prof. Leon Chua proposed the missing relation between charge q and the flux φ through symmetry in figure 1 [1]. Fig.1. The four fundamental two-terminal circuit elements Leon Chua named the element as memristor, which is the short for memory resistor. The memristor has a memristance M and the functional relation between flux φ and charge q is given by dφ=Mdq. The already known passive two-terminal devices are the basic building blocks of modern electronics and are therefore ubiquitous in circuits. But we know that though some elements store information they eventually decay out. Even if the state of one element changes, the information about the new state would be lost once the power is turned on and wait sometime. This basic point may seem irrelevant but fundamentally this is very crucial. The capacity to store information without the need of a power source would represent a paradigm change. 2. BASIC MEMRISTOR PROPERTIES The memristor based on a lean film of titanium oxide has been presented as an approximately ideal device. Since then a large deal of efforts has been spent in the research community to study the manufacture and characteristics of memristors. The name Memristor itself indicates its functioning as a resistor having memory of its previous condition. From the circuit-theoretic top of view, the three basic two-terminal circuit elements are defined in terms of a relationship between two of the four fundamental circuit variables. Out of the six possible combinations of these our variables, five have led to well-known relationships. Three other relationships are given, respectively, by the axiomatic definition of the three classical circuit elements, namely, the resistor, the inductor and the capacitor as stated in Table 1. Only one relationship remains undefined, the relationship between φ and q. It is nothing but the memristance. Table 1. Fundamental Variables of Electrical Circuits Sl. No. Definition Equation 1 Voltage (v) dφ = vdt 2 Current (i) dq = idt 3 Resistance (R) dv = Rdi 4 Capacitance (C) dq = Cdv 5 Inductance (L) dφ = Ldi 6 Memristance (M) dφ = Mdq ABSTRACT In evolution of memory technology the invention of memristor has colossal impact. It is the memory with resistor as its name indicates its function. The development of memristor as the non-volatile memory device replaces the flash memory and for this reason it is compared to flash memory for the better understanding of the memristor. The demand for high scalability, speed and endurance, the CMOS technology has limitation for the current lithography technology. As the result it is hard to supply the increasing demand for the non-volatile memory with high density. The only hope for the semiconductor industry is memristor by easier way to increase storage density. These larger storage density The increasing demand for high capacity ,high speed and lower priced acts as the force for the research in this field. The performance and the proposing innovation towards the development of the memristor is simulated using the LTspice for new technology. Keywords: Memristor and LTspice.
  • 2. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 31-35, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 32 3. ORIGIN OF MEMRISTORS Leon Chua noted that there are six different mathematical relations connecting pairs of the four fundamental circuit variables current i, voltage v, charge q and flux φ. The relation between these variable is deduced from Faradays law of Induction. A resistor is defined by the relationship between voltage v and current I (do = Rid), the capacitor is defined by the relationship between charge q and voltage v (dq = Cdv) and the inductor is defined by the relationship between flux φ and current i dφ = Ldi. In addition, the current i is defined as the time derivative of the charge q and according to Faradays law, the voltage v is defined as the time derivative of the flux φ. This relation is shown in the figure 2 [2]. According to this theory all matter consists of earth, water, air and fire. Each of these elements exhibits two of the four fundamental properties moistness, dryness, coldness and hotness. So depending on the above theory he saw a striking resemblance and predicted the existence of the fourth kind of element and called it memristor. The physical memristor device is essentially an a.c device, or else the d.c electromagnetic fields would give rise to non-negligible zero-order fields. Fig.2.The Relation between the Circuit Elements 4. DEFINITION OF MEMRISTOR Memristor is a contraction of memory resistor because its main function is to remember its history. The memristor is a two-terminal device whose resistance depends on the magnitude and polarity of the voltage applied to it and the length of the time that voltage has been applied. When this voltage is turned off the memristor remembers its most recent resistance until the next time you turn it on. The simple model of this is as shown in figure3 [3]. Fig.3. Simple Model of Memristor Memristor is either said to be a charge controlled or a flux controlled depending upon the relation between the flux φ and the charge q as a function of the other. For a charge controlled memristor the relation between flux and charge is expressed as a function of electric charge q [2], ) (1) By differentiating (1) we get, (2) (3) (4) (5) For a flux controlled memristor the relation between flux and charge is expressed as a function of flux linkage φ [2], (6) (7) (8) 5. CHARACTERISTICS OF MEMRISTORS 5.1 I-V characteristics An important characteristic of a memristor is the pinched hysteresis loop current- voltage characteristics [2]. For a memristor excited by a periodic signal, when the voltage v(t) is 0, the current i(t) is zero and vice versa. If any device has the above characteristics, then the device is either a memristor or a memristive device. The characteristics are as shown in figure 4[7]. Fig.4. The Pinched Hysteresis Loop 5.2 φ-q Characteristics of Memristor One of the main characteristics of φ-q of a memristor is it is monotonically increasing. The memristance M(q) is the slope of the φ-q curve. Prof. Leon Chua postulated a passivity criterion, according to which a memristor is passive if and only if the memristance M (q) is non-negative [5]. If M(q) 0, then the instantaneous power dissipated by the memristor, p(i) = M(q):[i(t)] 2, is always positive and so the memristor is a passive device [6].The typical curves are as shown in figure 5. Fig.5. The φ-q curve of Memristor
  • 3. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 31-35, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 33 6. LTSPICE MODEL OF MEMRISTOR Biolek provided the Spice model of the memristor. Though PSpice and LTSpice are similar in the nature of their analysis, but even though there wasn’t any analysis done in LTSpice. So I tried using LTSpice to be the basis of my simulation. The listing for the LTSpice model is included in the appendix. The model generated by me in LTSpice is as shown in figure 6. The passing current from memristor in one way will increase the resistance while changing the direction of the applied current will decrease its memristance. Fig.6. Symbol of the Memristor Model in LTSpice The total resistance of the doped and undoped regions of a HP memrister is given by, (9) (10) Where x = w/D ε(0,1) is the thickness of the doped region, referenced to the total length D of the TiO2 layer, and Roff and Ron are the limit values of the memristor resistance for w=0 and w=D. The ratio of the two resistances is given. The speed of the movement of the boundary between the doped and undoped regions depend on the resistance of the doped area, on the passing current, and on other factors according to the equation given by, … (11) … (12) Where is the dopant mobility. As mentioned in [9], in nanoscale devices, small voltages can yield enormous electric fields, which can secondarily produce significant nonlinearities in ionic transport. These non linearities manifest themselves particularly at the thin film edges, where the speed of boundary between the doped and undoped regions gradually reduces to zero. This phenomenon, called nonlinear dopant drift, can be modeled by the so-called window function f(x). 6.1 Different Types of Window Function 1) Jogelkar window 2) Biolek window 3) Strukov window 4) Prodromakis window 5) Kvatinsky window 7. SIMULATION RESULTS-USING LTSPICE MODEL For the simulation of the memristor for its desired characteristics, the width D of the TiO2 film is considered to be 10nm and the dopant mobility. The values assumed for Ron = 100Ω, Roff = 16k Ω and the initial resistance Rinit = 11k ΩD=10N, uv=10F, p=10. The circuit symmetry is shown in figure. The simulation results are shown in figure 10 and figure 11 Parameter details for Transient Non-Linear Domain Analysis Ron=100Ω, Roff=16KΩ, Rinit=11KΩ, D=10N, uv=10F, p=10, Stop time = 3 seconds, Maximum time step = 3m. Fig.7. Memristor Model Circuit Fig.8. Input Voltage Applied to the Memristor Input source voltage parameter details: Ron=100Ω, Roff=16KΩ , Rinit=11KΩ, D=10N, uv=10F, p=10, Sine wave with Amplitude = 1V, Frequency = 1Hz, Time delay = 1 sec. (a) (b) Fig.9.(a) The Current through Memristor and (b) Current-Verses-Voltage Fig.10.Transient Non-Liner Time Domain Analysis Result of a Memrister Model Using LT Spice
  • 4. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 31-35, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 34 Fig.11.Transient Non-Liner Analysis Result(a): F(1 Hz), Td(0), A(1V) Ron=100Ω, Roff=16KΩ , Rinit=11KΩ, D=10N, uv=10F, p=10, Stop time = 3 seconds, maximum time step = 3m, Sine wave with Amplitude = 1V, Frequency = 1Hz, with out any time delay. 8. CONCLUSION The impact that the memristor can have on the existing technology is vast. This report presents the detail study of memristors and also shows some worked out applications. The memristor is modeled in LTSpice using the existing model is proposed and plotted by the use of LTSpice. Memristors has certainly showed a lot of promise and also has the potential to be another milestone in the lane of evolution of technology for superior. It was rightly said by Prof. Leon Chua that all the engineering text books have to be re-written. The future design of NV RAM design is implemented and analyzed using LTSpice software. Spice Model of a Non Linear Memristor Using LTspice .SUBCKT memristor plus minus PARAMS + Ron=100 Roff=16K Rinit=11K D=10N uv=10F p=10 Differential Equation Modeling Gx 0 x value={I(Emem)*uv*Ron/D**2*f(V(x),p)} Cx x 0 1 IC={(Roff-Rinit)/(Roff-Ron)} Raux x 0 1T Resistive Port of The Memristor Emem plus aux value={-I(Emem)*V(x)*(Roff-Ron)} Roff aux minus {Roff} Flux Computation Eflux flux 0 value={SDT(V(plus,minus))} Charge Computation Echarge charge 0 value={SDT(I(Emem))} For Non-Linear Drift Modeling .func f(x,p)={1-(2*x-1)**(2*p)} Proposed Jogelkar Window Function .func f(x,i,p)={x(1-(2*x/(D-1))**(2*p))} .ENDS memristor //Another Reference Spice Model of a Mon Linear Memrister with Various values of Ron, Roff and Window Function codes using LTSpice *Modified HP Memristor SPICE Model ************************** * Ron, Roff - Resistance in ON / OFF States * Rinit - Resistance at T=0 * D - Width of the thin film * uv - Migration coefficient * p - Parameter of the WINDOW-function * for modeling nonlinear boundary conditions REFERENCES [1] Yasmin Halawani, Baker Mohammad, Dirar Homouz,Mahmoud Al-Qutayri and Hani Saleh, “Modeling and Optimization of Memristor and STT-RAM-Based Memory for Low-Power Applications” June 2015 IEEE, 1063-8210. [2] A.Kavehei.S. O, Kim.Y.S and Abbott.D, “The fourth element: Characteristics, modelling, and electromagnetic theory of the memristor”, in http:// arxiv.org/abs /1002.3210. [3] Benderli.S and Wey.T.A, “On SPICE macromodelling of TiO2 memristors”, in IET Electronics Lett., vol. 45, pp. 377-379, 2009. [4] Biolek.D. B. Z and BiolkovaV, “Spice model of memristor with nonlinear dopant drift”, in Radio engineering J., vol. 18, 2009, pp. 210-214. [5] Biolek.Z, Biolek.Dand Biolkova.V, “SPICE Model of Memristor withNon-linear Dopant Drift”, in Radio engineering, vol. 18, pp. 210-214, June 2009. [6] Chua.L, “Memristor- the missing circiut element”, in IEEE Trans. Circuit Theory, vol. CT-18, 1971, pp. 507519. [7] Fano.L.C.R.M. (1960) and Adler.R, “Electromagnetic fields, energy and forces”, in Proceedings of IEEE Congress on Evolutionary Computation (CEC-2002), New York, USA., [8] Joglekar.Y and Wolf.S, “The elusive memristor: properties of basic electrical circuits”, in arXiv:0807.3994, vol. 2, 2009, pp. 1-24. [9] Joglekar.Y.Nand Wolf.S.J, “The Elusive Memristor: Properties of Basic Electrical Circuits”, in European Journal of Physics, vol. 30, pp. 661-675, 2009. [10] Kvatinsky.A.K.S, Friedman.E.G and Weiser.U, “Memristor and related application”. [11] Mahuash.A.C.P.M, “A memristor spice model for designing memristor circuits”. [12] http://nature.berkeley.edu/Memristor.pdf.
  • 5. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 31-35, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 35 [13] Strukov.D.B, Snider.G.S, Stewart.D.R and Williams.R.S, “The Missing Memristor Found”, in Nature, vol. 453, pp. 83-86, May 2008. [14] Strukov.D.S.D.B, SniderG.Sand Williams.R, “The missing memristor found”, in Nature, vol. 453, 2008, pp. 80-83. [15] Williams.R, (2008), “How we found the missing memristor”, in IEEE Spectrum, vol. 45, pp. 2835.