Abstract
Modeling of memristor devices is essential for memristor based circuit and system design. This chapter presents a review of existing memristor modeling techniques and provides simulations that compare several existing models to published memristor characterization data. A discussion of existing models is presented that explains how the equations of each relate to physical device behaviors.
The simulations were completed in LTspice and compare the output of the different models to current–voltage relationships of physical devices. Sinusoidal and triangular pulse inputs were used throughout the simulations to test the capabilities of each model. The chapter is concluded by recommending a more generalized memristor model that can be accurately matched to several different published device characterizations. This generalized model provides the potential for more accurate circuit simulation for a wide range of device structures and voltage inputs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chua LO, Leon O (1971) Memristor—The missing circuit element. IEEE Trans Circuit Theory 18(5):507–519
Strukov DB, Snider GS, Stewart DR, Williams RS (2008) The missing memristor found. Nature 453:80–83
Williams R (2008) How we found the missing memristor. IEEE Spectrum 45(12):28–35
Raja T, Mourad S (2009) Digital logic implementation in memristor-based crossbars. International conference on communications, circuits, and systems, pp 939–943
Lehtonen E, Laiho M (2009) Stateful implication logic with memristors. IEEE/ACM international symposium on nanoscale architectures, pp 33–36
Wald S, Baker J, Mitkova M, Rafla N (2011) A non-volatile memory array based on nano-ionic conductive bridge memristors. IEEE workshop on microelectronics and electron devices, pp 1–4
Snider GS (2008) Cortical computing with memristive nanodevices. SciDAC Rev 10:58–65
Jo SH, Chang T, Ebong I, Bhadviya BB, Mazumder P, Lu W (2010) Nanoscale memristor device as synapse in neuromorphic systems. Nano Lett 10(4):1297–1301
Oblea AS, Timilsina A, Moore D, Campbell KA (2010) Silver chalcogenide based memristor devices. IJCNN, pp 1–3
Yang JJ, Pickett MD, Li X, Ohlberg DAA, Stewart DR, Williams RS (2008) Memristive switching mechanism for metal/oxide/metal nanodevices. Nat Nanotechnol 3:429–433
Miller K, Nalwa KS, Bergerud A, Neihart NM, Chaudhary S (2010) Memristive behavior in thin anodic titania. IEEE Electron Dev Lett 31(7):737–739
Miller K (2010) Fabrication and modeling of thin-film anodic titania memristors. Master’s Thesis, Iowa State University, Electrical and Computer Engineering (VLSI), Ames
Yakopcic C, Taha TM, Subramanyam G, Pino RE, Rogers S (2011) A memristor device model. IEEE Electron Dev Lett 32(10):1436–1438 (Accepted for publication)
Joglekar YN, Wolf SJ (2009) The elusive memristor: properties of basic electrical circuits. Eur J Phys 30(661)
Laiho M, Lehtonen E, Russel A, Dudek P (2010) Memristive synapses are becoming reality, institute of neuromorphic engineering, the neuromorphic engineer, a publication of INE-WEB.org, 10.2417/1201011.003396. http://www.ine-news.org/view.php?source=003396-2010-11-26
Pino RE, Bohl JW, McDonald N, Wysocki B, Rozwood P, Campbell KA, Oblea A, Timilsina A (2010) Compact method for modeling and simulation of memristor devices: ion conductor chalcogenide-based memristor devices. IEEE/ACM international symposium on nanoscale architectures, pp 1–4
Biolek Z, Biolek D, Biolková V (2009) Spice model of memristor with nonlinear dopant drift. Radioengineering 18(2):210–214
Lehtonen E, Laiho M (2010, February) CNN using memristors for neighborhood connections, pp 1–4
Batas D, Fiedler H (2011) A memristor spice implementation and a new approach for magnetic flux-controlled memristor modeling. IEEE Trans Nanotechnol 10(2):250–225
Rak A, Cserey G (2010, April) Macromodeling of the memristor in spice. Comput Aided Des Integr Circ Syst IEEE Trans 29(4):632–636
Benderli S, Wey T (2009) On SPICE macromodelling of TiO2 memristors. Electron Lett 45(7):377–379
Mahvash M, Parker AC (2010, August) A memristor SPICE model for designing memristor circuits. (MWSCAS), pp 989–992
Chang T, Jo SH, Kim KH, Sheridan P, Gaba S, Lu W (2011) Synaptic behaviors and modeling of a metal oxide memristor device. Appl Phys A 102:857–863
Abdalla H, Pickett MD (2011) SPICE Modeling of Memristors. ISCAS, pp 1832–1835
Shin S, Kim K, Kang S-M (2010, April) Compact models for memristors based on charge-flux constitutive relationships. IEEE Trans Comput Aided Des Integr Circ Syst 29(4):590–598
Simmons JG (1963) Generalized formula for the electric tunnel effect between similar electrodes separated by a thin insulating film. J Appl Phys 34(6):1793–1803
Pickett MD, Strukov DB, Borghetti JL, Yang JJ, Snider GS, Stewart DR, Williams RS (2009) Switching dynamics in titanium dioxide memristive devices. J Appl Phys 106(7):074508
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Yakopcic, C., Taha, T.M., Subramanyam, G., Pino, R.E. (2012). Memristor SPICE Modeling. In: Kozma, R., Pino, R., Pazienza, G. (eds) Advances in Neuromorphic Memristor Science and Applications. Springer Series in Cognitive and Neural Systems, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4491-2_12
Download citation
DOI: https://doi.org/10.1007/978-94-007-4491-2_12
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-4490-5
Online ISBN: 978-94-007-4491-2
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)