Memristors for the Curious Outsiders

Caravelli, Francesco; Carbajal, Juan

doi:10.3390/technologies6040118

Title: Memristors for the Curious Outsiders

Journal Article · Sun Dec 09 00:00:00 EST 2018 · Technologies

DOI:https://doi.org/10.3390/technologies6040118· OSTI ID:1558048

^[1]; Carbajal, Juan ^[2]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Hochschule für Technik Rapperswil (HSR) (Switzerland); Swiss Federal Institute of Aquatic Science and Technology, Dübendorf (Switzerland)

We present both an overview and a perspective of recent experimental advances and new methods to performing computation using memristors. A memristor is a 2-terminal passive component with a dynamic resistance depending on an internal parameter. We provide an brief historical introduction, as well as an overview over the physical mechanism that lead to memristive behavior. This work is meant to guide nonpractitioners in the field of memristive circuits and their connection to machine learning and neural computation.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1558048

Report Number(s):: LA-UR-18-27766

Journal Information:: Technologies, Vol. 6, Issue 4; ISSN 2227-7080

Country of Publication:: United States

Language:: English

References (189)

Stateful characterization of resistive switching TiO2 with electron beam induced currents Hoskins, Brian D.; Adam, Gina C.; Strelcov, Evgheni Nature Communications, Vol. 8, Issue 1 https://doi.org/10.1038/s41467-017-02116-9	journal	December 2017
When does a physical system compute? Horsman, Clare; Stepney, Susan; Wagner, Rob C. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 470, Issue 2169 https://doi.org/10.1098/rspa.2014.0182	journal	September 2014
Solving mazes with memristors: A massively parallel approach Pershin, Yuriy V.; Di Ventra, Massimiliano Physical Review E, Vol. 84, Issue 4 https://doi.org/10.1103/PhysRevE.84.046703	journal	October 2011
Memristive devices and systems Chua, L. O. Proceedings of the IEEE, Vol. 64, Issue 2 https://doi.org/10.1109/PROC.1976.10092	journal	January 1976
An introduction to kernel-based learning algorithms Muller, K. -R.; Mika, S.; Ratsch, G. IEEE Transactions on Neural Networks, Vol. 12, Issue 2 https://doi.org/10.1109/72.914517	journal	March 2001
Memristive model of amoeba learning Pershin, Yuriy V.; La Fontaine, Steven; Di Ventra, Massimiliano Physical Review E, Vol. 80, Issue 2 https://doi.org/10.1103/PhysRevE.80.021926	journal	August 2009
Anderson transitions Evers, Ferdinand; Mirlin, Alexander D. Reviews of Modern Physics, Vol. 80, Issue 4 https://doi.org/10.1103/RevModPhys.80.1355	journal	October 2008
Quasi-Linear Vacancy Dynamics Modeling and Circuit Analysis of the Bipolar Memristor Abraham, Isaac PLoS ONE, Vol. 9, Issue 11 https://doi.org/10.1371/journal.pone.0111607	journal	November 2014
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks Li, Can; Belkin, Daniel; Li, Yunning Nature Communications, Vol. 9, Issue 1 https://doi.org/10.1038/s41467-018-04484-2	journal	June 2018
Nanobatteries in redox-based resistive switches require extension of memristor theory Valov, I.; Linn, E.; Tappertzhofen, S. Nature Communications, Vol. 4, Issue 1 https://doi.org/10.1038/ncomms2784	journal	April 2013
The benefits of noise in neural systems: bridging theory and experiment McDonnell, Mark D.; Ward, Lawrence M. Nature Reviews Neuroscience, Vol. 12, Issue 7 https://doi.org/10.1038/nrn3061	journal	June 2011
Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training Soudry, Daniel; Di Castro, Dotan; Gal, Asaf IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, Issue 10 https://doi.org/10.1109/TNNLS.2014.2383395	journal	October 2015
Optimization hardness as transient chaos in an analog approach to constraint satisfaction Ercsey-Ravasz, Mária; Toroczkai, Zoltán Nature Physics, Vol. 7, Issue 12 https://doi.org/10.1038/nphys2105	journal	October 2011
Changing the state of a memristive system with white noise Slipko, Valeriy A.; Pershin, Yuriy V.; Di Ventra, Massimiliano Physical Review E, Vol. 87, Issue 4 https://doi.org/10.1103/PhysRevE.87.042103	journal	April 2013
Current-controlled negative resistance in thin niobium oxide films Chopra, K. L. Proceedings of the IEEE, Vol. 51, Issue 6 https://doi.org/10.1109/PROC.1963.2339	journal	January 1963
Pattern classification by memristive crossbar circuits using ex situ and in situ training Alibart, Fabien; Zamanidoost, Elham; Strukov, Dmitri B. Nature Communications, Vol. 4, Issue 1 https://doi.org/10.1038/ncomms3072	journal	June 2013
‘Memristive’ switches enable ‘stateful’ logic operations via material implication Borghetti, Julien; Snider, Gregory S.; Kuekes, Philip J. Nature, Vol. 464, Issue 7290 https://doi.org/10.1038/nature08940	journal	April 2010
Shock Waves and Commutation Speed of Memristors Tang, Shao; Tesler, Federico; Marlasca, Fernando Gomez Physical Review X, Vol. 6, Issue 1 https://doi.org/10.1103/PhysRevX.6.011028	journal	March 2016
Molecular computation of solutions to combinatorial problems Adleman, L. Science, Vol. 266, Issue 5187 https://doi.org/10.1126/science.7973651	journal	November 1994
Perspective: Memcomputing: Leveraging memory and physics to compute efficiently Di Ventra, Massimiliano; Traversa, Fabio L. Journal of Applied Physics, Vol. 123, Issue 18 https://doi.org/10.1063/1.5026506	journal	May 2018
Die Lernmatrix Steinbuch, K. Kybernetik, Vol. 1, Issue 1 https://doi.org/10.1007/BF00293853	journal	January 1961
A memristive Hopfield network for associative memory Hu, Shaogang; Hu, S. G.; Liu, Y. Protocol Exchange https://doi.org/10.1038/protex.2015.070	journal	July 2015
Statistical models of fracture Alava, Mikko J.; Nukala, Phani K. V. V.; Zapperi, Stefano Advances in Physics, Vol. 55, Issue 3-4 https://doi.org/10.1080/00018730300741518	journal	May 2006
Polynomial-time solution of prime factorization and NP-complete problems with digital memcomputing machines Traversa, Fabio L.; Di Ventra, Massimiliano Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 27, Issue 2 https://doi.org/10.1063/1.4975761	journal	February 2017
A cross-disciplinary introduction to quantum annealing-based algorithms Venegas-Andraca, Salvador E.; Cruz-Santos, William; McGeoch, Catherine Contemporary Physics, Vol. 59, Issue 2 https://doi.org/10.1080/00107514.2018.1450720	journal	March 2018
Experimental demonstration of associative memory with memristive neural networks Pershin, Yuriy V.; Di Ventra, Massimiliano Neural Networks, Vol. 23, Issue 7, p. 881-886 https://doi.org/10.1016/j.neunet.2010.05.001	journal	September 2010
Neuromorphic electronic systems Mead, C. Proceedings of the IEEE, Vol. 78, Issue 10 https://doi.org/10.1109/5.58356	journal	January 1990
Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks Ielmini, Daniele Microelectronic Engineering, Vol. 190 https://doi.org/10.1016/j.mee.2018.01.009	journal	April 2018
Self-directed channel memristor for high temperature operation Campbell, Kristy A. Microelectronics Journal, Vol. 59 https://doi.org/10.1016/j.mejo.2016.11.006	journal	January 2017
SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers Hindmarsh, Alan C.; Brown, Peter N.; Grant, Keith E. ACM Transactions on Mathematical Software, Vol. 31, Issue 3 https://doi.org/10.1145/1089014.1089020	journal	September 2005
Locality of interactions for planar memristive circuits Caravelli, F. Physical Review E, Vol. 96, Issue 5 https://doi.org/10.1103/PhysRevE.96.052206	journal	November 2017
Neural networks and physical systems with emergent collective computational abilities. Hopfield, J. J. Proceedings of the National Academy of Sciences, Vol. 79, Issue 8 https://doi.org/10.1073/pnas.79.8.2554	journal	April 1982
Electrical characteristics and threshold switching in amorphous semiconductors Buckley, W. D.; Holmberg, S. H. Solid-State Electronics, Vol. 18, Issue 2 https://doi.org/10.1016/0038-1101(75)90096-9	journal	February 1975
Nanoionics-based resistive switching memories Waser, Rainer; Aono, Masakazu Nature Materials, Vol. 6, Issue 11, p. 833-840 https://doi.org/10.1038/nmat2023	journal	November 2007
Universal Memcomputing Machines Traversa, Fabio Lorenzo; Di Ventra, Massimiliano IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, Issue 11 https://doi.org/10.1109/TNNLS.2015.2391182	journal	November 2015
A scalable neuristor built with Mott memristors Pickett, Matthew D.; Medeiros-Ribeiro, Gilberto; Williams, R. Stanley Nature Materials, Vol. 12, Issue 2 https://doi.org/10.1038/nmat3510	journal	December 2012
Forming and switching mechanisms of a cation-migration-based oxide resistive memory Tsuruoka, T.; Terabe, K.; Hasegawa, T. Nanotechnology, Vol. 21, Issue 42 https://doi.org/10.1088/0957-4484/21/42/425205	journal	September 2010
Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo Hodgkin, A. L.; Huxley, A. F. The Journal of Physiology, Vol. 116, Issue 4 https://doi.org/10.1113/jphysiol.1952.sp004717	journal	April 1952
Computing with biological switches and clocks Dalchau, Neil; Szép, Gregory; Hernansaiz-Ballesteros, Rosa Natural Computing, Vol. 17, Issue 4 https://doi.org/10.1007/s11047-018-9686-x	journal	June 2018
Nonlinear electrical conductivity in a 1D granular medium Falcon, E.; Castaing, B.; Creyssels, M. The European Physical Journal B, Vol. 38, Issue 3 https://doi.org/10.1140/epjb/e2004-00142-9	journal	April 2004
Voltage-Controlled Cycling Endurance of HfO<sub><italic>x</italic></sub>-Based Resistive-Switching Memory Balatti, Simone; Ambrogio, Stefano; Wang, Zhongqiang IEEE Transactions on Electron Devices, Vol. 62, Issue 10 https://doi.org/10.1109/TED.2015.2463104	journal	October 2015
Emulating short-term synaptic dynamics with memristive devices Berdan, Radu; Vasilaki, Eleni; Khiat, Ali Scientific Reports, Vol. 6, Issue 1 https://doi.org/10.1038/srep18639	journal	January 2016
Self-organized criticality as a fundamental property of neural systems Hesse, Janina; Gross, Thilo Frontiers in Systems Neuroscience, Vol. 8 https://doi.org/10.3389/fnsys.2014.00166	journal	September 2014
Memristors in plants Volkov, Alexander G.; Tucket, Clayton; Reedus, Jada Plant Signaling & Behavior, Vol. 9, Issue 3 https://doi.org/10.4161/psb.28152	journal	February 2014
Stochastic memory: Memory enhancement due to noise Stotland, Alexander; Di Ventra, Massimiliano Physical Review E, Vol. 85, Issue 1 https://doi.org/10.1103/PhysRevE.85.011116	journal	January 2012
Trajectories Entropy in Dynamical Graphs with Memory Caravelli, Francesco Frontiers in Robotics and AI, Vol. 3 https://doi.org/10.3389/frobt.2016.00018	journal	April 2016
Associative memory realized by a reconfigurable memristive Hopfield neural network Hu, S. G.; Liu, Y.; Liu, Z. Nature Communications, Vol. 6, Issue 1 https://doi.org/10.1038/ncomms8522	journal	June 2015
Algorithmic Self-Assembly of DNA Sierpinski Triangles Rothemund, Paul W. K.; Papadakis, Nick; Winfree, Erik PLoS Biology, Vol. 2, Issue 12 https://doi.org/10.1371/journal.pbio.0020424	journal	December 2004
If it’s pinched it’s a memristor Chua, Leon Semiconductor Science and Technology, Vol. 29, Issue 10 https://doi.org/10.1088/0268-1242/29/10/104001	journal	September 2014
Sparse Coding via Thresholding and Local Competition in Neural Circuits Rozell, Christopher J.; Johnson, Don H.; Baraniuk, Richard G. Neural Computation, Vol. 20, Issue 10 https://doi.org/10.1162/neco.2008.03-07-486	journal	October 2008
Non-linear memristor switching model Chernov, A. A.; Islamov, D. R.; Pik'nik, A. A. Journal of Physics: Conference Series, Vol. 754, Issue 10 https://doi.org/10.1088/1742-6596/754/10/102001	journal	October 2016
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations Maass, Wolfgang; Natschläger, Thomas; Markram, Henry Neural Computation, Vol. 14, Issue 11 https://doi.org/10.1162/089976602760407955	journal	November 2002
A mean-field model of memristive circuit interaction Caravelli, F.; Barucca, P. EPL (Europhysics Letters), Vol. 122, Issue 4 https://doi.org/10.1209/0295-5075/122/40008	journal	May 2018
Data Clustering using Memristor Networks Choi, Shinhyun; Sheridan, Patrick; Lu, Wei D. Scientific Reports, Vol. 5, Issue 1 https://doi.org/10.1038/srep10492	journal	May 2015
Mathematical Theory of the Differential Analyzer Shannon, Claude E. Journal of Mathematics and Physics, Vol. 20, Issue 1-4 https://doi.org/10.1002/sapm1941201337	journal	April 1941
Kernel methods in machine learning Hofmann, Thomas; Schölkopf, Bernhard; Smola, Alexander J. The Annals of Statistics, Vol. 36, Issue 3 https://doi.org/10.1214/009053607000000677	journal	June 2008
Nanoscale resistive switching in SrTiO3 thin films Szot, K.; Dittmann, R.; Speier, W. physica status solidi (RRL) – Rapid Research Letters, Vol. 1, Issue 2 https://doi.org/10.1002/pssr.200701003	journal	March 2007
Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication Xia, Lixue; Gu, Peng; Li, Boxun Journal of Computer Science and Technology, Vol. 31, Issue 1 https://doi.org/10.1007/s11390-016-1608-8	journal	January 2016
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation Payvand, Melika; Nair, Manu V.; Müller, Lorenz K. Faraday Discussions, Vol. 213 https://doi.org/10.1039/C8FD00114F	journal	January 2019
Memristor Models for Machine Learning Carbajal, Juan Pablo; Dambre, Joni; Hermans, Michiel Neural Computation, Vol. 27, Issue 3 https://doi.org/10.1162/NECO_a_00694	journal	March 2015
Volatility Characterization for RRAM Devices Gupta, Isha; Serb, Alexantrou; Berdan, Radu IEEE Electron Device Letters, Vol. 38, Issue 1 https://doi.org/10.1109/LED.2016.2631631	journal	January 2017
Guided self-organization Prokopenko, Mikhail HFSP Journal, Vol. 3, Issue 5 https://doi.org/10.2976/1.3233933	journal	January 2009
A hybrid nanomemristor/transistor logic circuit capable of self-programming Borghetti, Julien; Li, Zhiyong; Straznicky, Joseph Proceedings of the National Academy of Sciences, Vol. 106, Issue 6 https://doi.org/10.1073/pnas.0806642106	journal	January 2009
Conducting-insulating transition in adiabatic memristive networks Sheldon, Forrest C.; Di Ventra, Massimiliano Physical Review E, Vol. 95, Issue 1 https://doi.org/10.1103/PhysRevE.95.012305	journal	January 2017
Thermodynamic-RAM technology stack Nugent, M. Alexander; Molter, Timothy W. International Journal of Parallel, Emergent and Distributed Systems, Vol. 33, Issue 4 https://doi.org/10.1080/17445760.2017.1314472	journal	February 2017
Computational Complexity and New Computing Approaches DeBenedictis, Erik P. Computer, Vol. 49, Issue 12 https://doi.org/10.1109/MC.2016.353	journal	December 2016
Computing with neural circuits: a model Hopfield, J.; Tank, D. Science, Vol. 233, Issue 4764 https://doi.org/10.1126/science.3755256	journal	August 1986
Computation of shortest path in cellular automata Adamatzky, A. I. Mathematical and Computer Modelling, Vol. 23, Issue 4 https://doi.org/10.1016/0895-7177(96)00006-4	journal	February 1996
The elusive memristor: properties of basic electrical circuits Joglekar, Yogesh N.; Wolf, Stephen J. European Journal of Physics, Vol. 30, Issue 4 https://doi.org/10.1088/0143-0807/30/4/001	journal	May 2009
Conditions and Emulation of Double Pinch-off Points in Fractional-order Memristor Hamed, Esraa M.; Fouda, Mohammed E.; Radwan, Ahmed G. 2018 IEEE International Symposium on Circuits and Systems (ISCAS) https://doi.org/10.1109/ISCAS.2018.8351761	conference	May 2018
Phase change materials in non-volatile storage Ielmini, Daniele; Lacaita, Andrea L. Materials Today, Vol. 14, Issue 12 https://doi.org/10.1016/S1369-7021(11)70301-7	journal	December 2011
Spintronic Memristor Through Spin-Torque-Induced Magnetization Motion IEEE Electron Device Letters, Vol. 30, Issue 3 https://doi.org/10.1109/LED.2008.2012270	journal	March 2009
K -means Data Clustering with Memristor Networks Jeong, YeonJoo; Lee, Jihang; Moon, John Nano Letters, Vol. 18, Issue 7 https://doi.org/10.1021/acs.nanolett.8b01526	journal	June 2018
Vertex coloring of graphs via phase dynamics of coupled oscillatory networks Parihar, Abhinav; Shukla, Nikhil; Jerry, Matthew Scientific Reports, Vol. 7, Issue 1 https://doi.org/10.1038/s41598-017-00825-1	journal	April 2017
Sensory and short-term memory formations observed in a Ag ₂ S gap-type atomic switch Ohno, Takeo; Hasegawa, Tsuyoshi; Nayak, Alpana Applied Physics Letters, Vol. 99, Issue 20 https://doi.org/10.1063/1.3662390	journal	November 2011
Editor's Introduction: Stigmergy Bonabeau, Eric Artificial Life, Vol. 5, Issue 2 https://doi.org/10.1162/106454699568692	journal	April 1999
Amoebae Anticipate Periodic Events Saigusa, Tetsu; Tero, Atsushi; Nakagaki, Toshiyuki Physical Review Letters, Vol. 100, Issue 1 https://doi.org/10.1103/PhysRevLett.100.018101	journal	January 2008
Electrical conduction and Joule effect in one-dimensional chains of metallic beads: hysteresis under cycling DC currents and influence of electromagnetic pulses Béquin, P.; Tournat, V. Granular Matter, Vol. 12, Issue 4 https://doi.org/10.1007/s10035-010-0185-8	journal	April 2010
Are our senses critical? Chialvo, Dante R. Nature Physics, Vol. 2, Issue 5 https://doi.org/10.1038/nphys300	journal	May 2006
An introduction to the memristor – a valuable circuit element in bioelectricity and bioimpedance Johnsen, Gorm K. Journal of Electrical Bioimpedance, Vol. 3, Issue 1 https://doi.org/10.5617/jeb.305	journal	July 2019
Emergent Criticality in Complex Turing B-Type Atomic Switch Networks Stieg, Adam Z.; Avizienis, Audrius V.; Sillin, Henry O. Advanced Materials, Vol. 24, Issue 2 https://doi.org/10.1002/adma.201103053	journal	October 2011
Slime Mould Memristors Gale, Ella; Adamatzky, Andrew; de Lacy Costello, Ben BioNanoScience, Vol. 5, Issue 1 https://doi.org/10.1007/s12668-014-0156-3	journal	November 2014
Spin transfer torques Ralph, D. C.; Stiles, M. D. Journal of Magnetism and Magnetic Materials, Vol. 320, Issue 7 https://doi.org/10.1016/j.jmmm.2007.12.019	journal	April 2008
Optimal unsupervised learning in a single-layer linear feedforward neural network Sanger, Terence D. Neural Networks, Vol. 2, Issue 6 https://doi.org/10.1016/0893-6080(89)90044-0	journal	January 1989
Neural network computation with DNA strand displacement cascades Qian, Lulu; Winfree, Erik; Bruck, Jehoshua Nature, Vol. 475, Issue 7356 https://doi.org/10.1038/nature10262	journal	July 2011
Switching dynamics in titanium dioxide memristive devices Pickett, Matthew D.; Strukov, Dmitri B.; Borghetti, Julien L. Journal of Applied Physics, Vol. 106, Issue 7 https://doi.org/10.1063/1.3236506	journal	October 2009
Stochastic resonance and sensory information processing: a tutorial and review of application Moss, F. Clinical Neurophysiology, Vol. 115, Issue 2 https://doi.org/10.1016/j.clinph.2003.09.014	journal	February 2004
Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors Li, Can; Han, Lili; Jiang, Hao Nature Communications, Vol. 8, Issue 1 https://doi.org/10.1038/ncomms15666	journal	June 2017
Self-organization and solution of shortest-path optimization problems with memristive networks Pershin, Yuriy V.; Di Ventra, Massimiliano Physical Review E, Vol. 88, Issue 1 https://doi.org/10.1103/PhysRevE.88.013305	journal	July 2013
Superconducting Memristors Peotta, Sebastiano; Di Ventra, Massimiliano Physical Review Applied, Vol. 2, Issue 3 https://doi.org/10.1103/PhysRevApplied.2.034011	journal	September 2014
Atomic switch networks as complex adaptive systems Scharnhorst, Kelsey S.; Carbajal, Juan P.; Aguilera, Renato C. Japanese Journal of Applied Physics, Vol. 57, Issue 3S2 https://doi.org/10.7567/JJAP.57.03ED02	journal	February 2018
Ant colonies for the travelling salesman problem Dorigo, Marco; Gambardella, Luca Maria Biosystems, Vol. 43, Issue 2 https://doi.org/10.1016/S0303-2647(97)01708-5	journal	July 1997
A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing Sillin, Henry O.; Aguilera, Renato; Shieh, Hsien-Hang Nanotechnology, Vol. 24, Issue 38 https://doi.org/10.1088/0957-4484/24/38/384004	journal	September 2013
Reliable Modeling of Ideal Generic Memristors via State-Space Transformation Biolek, Z.; Biolek, D.; Biolkova, V. Radioengineering, Vol. 24, Issue 2 https://doi.org/10.13164/re.2015.0393	journal	June 2015
Four-dimensional address topology for circuits with stacked multilayer crossbar arrays Strukov, D. B.; Williams, R. S. Proceedings of the National Academy of Sciences, Vol. 106, Issue 48 https://doi.org/10.1073/pnas.0906949106	journal	November 2009
Spin-current interaction with a monodomain magnetic body: A model study Sun, J. Z. Physical Review B, Vol. 62, Issue 1 https://doi.org/10.1103/PhysRevB.62.570	journal	July 2000
Decoding the ancient Greek astronomical calculator known as the Antikythera Mechanism Freeth, T.; Bitsakis, Y.; Moussas, X. Nature, Vol. 444, Issue 7119 https://doi.org/10.1038/nature05357	journal	November 2006
A Taxonomy of General Purpose Approximate Computing Techniques Moreau, Thierry; San Miguel, Joshua; Wyse, Mark IEEE Embedded Systems Letters, Vol. 10, Issue 1 https://doi.org/10.1109/LES.2017.2758679	journal	March 2018
SPICE modeling of memristors Abdalla, Hisham; Pickett, Matthew D. 2011 IEEE International Symposium on Circuits and Systems (ISCAS), 2011 IEEE International Symposium of Circuits and Systems (ISCAS) https://doi.org/10.1109/ISCAS.2011.5937942	conference	May 2011
Reservoir computing using dynamic memristors for temporal information processing Du, Chao; Cai, Fuxi; Zidan, Mohammed A. Nature Communications, Vol. 8, Issue 1 https://doi.org/10.1038/s41467-017-02337-y	journal	December 2017
Memristor-The missing circuit element Chua, L. IEEE Transactions on Circuit Theory, Vol. 18, Issue 5 https://doi.org/10.1109/TCT.1971.1083337	journal	January 1971
Memory materials: a unifying description Di Ventra, Massimiliano; Pershin, Yuriy V. Materials Today, Vol. 14, Issue 12 https://doi.org/10.1016/S1369-7021(11)70299-1	journal	December 2011
Erratum to: Slime Mould Memristors Gale, Ella; Adamatzky, Andrew; de Lacy Costello, Ben BioNanoScience, Vol. 5, Issue 1 https://doi.org/10.1007/s12668-014-0160-7	journal	December 2014
Evidence of Exponential Speed-Up in the Solution of Hard Optimization Problems Traversa, Fabio L.; Cicotti, Pietro; Sheldon, Forrest Complexity, Vol. 2018 https://doi.org/10.1155/2018/7982851	journal	July 2018
Realistic Hodgkin–Huxley Axons Using Stochastic Behavior of Memristors Feali, Mohammad Saeed; Ahmadi, Arash Neural Processing Letters, Vol. 45, Issue 1 https://doi.org/10.1007/s11063-016-9502-5	journal	January 2016
Quantum Theory, the Church-Turing Principle and the Universal Quantum Computer Deutsch, D. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 400, Issue 1818 https://doi.org/10.1098/rspa.1985.0070	journal	July 1985
Electrical conductivity in granular media and Branly’s coherer: A simple experiment Falcon, Eric; Castaing, Bernard American Journal of Physics, Vol. 73, Issue 4 https://doi.org/10.1119/1.1848114	journal	April 2005
Memcomputing NP -complete problems in polynomial time using polynomial resources and collective states Traversa, Fabio Lorenzo; Ramella, Chiara; Bonani, Fabrizio Science Advances, Vol. 1, Issue 6 https://doi.org/10.1126/sciadv.1500031	journal	July 2015
Memristive devices for computing Yang, J. Joshua; Strukov, Dmitri B.; Stewart, Duncan R. Nature Nanotechnology, Vol. 8, Issue 1, p. 13-24 https://doi.org/10.1038/nnano.2012.240	journal	January 2013
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology McDonnell, Mark D.; Abbott, Derek PLoS Computational Biology, Vol. 5, Issue 5 https://doi.org/10.1371/journal.pcbi.1000348	journal	May 2009
Memristive switching mechanism for metal/oxide/metal nanodevices Yang, J. Joshua; Pickett, Matthew D.; Li, Xuema Nature Nanotechnology, Vol. 3, Issue 7 https://doi.org/10.1038/nnano.2008.160	journal	June 2008
Sparse coding with memristor networks Sheridan, Patrick M.; Cai, Fuxi; Du, Chao Nature Nanotechnology, Vol. 12, Issue 8 https://doi.org/10.1038/nnano.2017.83	journal	May 2017
Brains Are Made of Memristors Sah, Maheshwar Pd; Chua, Leon O. IEEE Circuits and Systems Magazine, Vol. 14, Issue 1 https://doi.org/10.1109/MCAS.2013.2296414	journal	April 2014
The missing memristor found Strukov, Dmitri B.; Snider, Gregory S.; Stewart, Duncan R. Nature, Vol. 453, Issue 7191 https://doi.org/10.1038/nature06932	journal	May 2008
Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation Corradi, Federico; Eliasmith, Chris; Indiveri, Giacomo 2014 IEEE International Symposium on Circuits and Systems (ISCAS) https://doi.org/10.1109/ISCAS.2014.6865117	conference	June 2014
The promise of analog computation MacLennan, B. J. International Journal of General Systems, Vol. 43, Issue 7 https://doi.org/10.1080/03081079.2014.920997	journal	May 2014
Synaptic behaviors and modeling of a metal oxide memristive device Chang, Ting; Jo, Sung-Hyun; Kim, Kuk-Hwan Applied Physics A, Vol. 102, Issue 4 https://doi.org/10.1007/s00339-011-6296-1	journal	February 2011
Peierls Phase Transition Kagoshima, Seiichi Japanese Journal of Applied Physics, Vol. 20, Issue 9 https://doi.org/10.1143/JJAP.20.1617	journal	September 1981
Temporal correlation detection using computational phase-change memory Sebastian, Abu; Tuma, Tomas; Papandreou, Nikolaos Nature Communications, Vol. 8, Issue 1 https://doi.org/10.1038/s41467-017-01481-9	journal	October 2017
AHaH Computing–From Metastable Switches to Attractors to Machine Learning Nugent, Michael Alexander; Molter, Timothy Wesley PLoS ONE, Vol. 9, Issue 2 https://doi.org/10.1371/journal.pone.0085175	journal	February 2014
Complex dynamics of memristive circuits: Analytical results and universal slow relaxation Caravelli, F.; Traversa, F. L.; Di Ventra, M. Physical Review E, Vol. 95, Issue 2 https://doi.org/10.1103/PhysRevE.95.022140	journal	February 2017
Power laws and self-organized criticality in theory and nature Marković, Dimitrije; Gros, Claudius Physics Reports, Vol. 536, Issue 2 https://doi.org/10.1016/j.physrep.2013.11.002	journal	March 2014
Self-Organized Criticality Jensen, Henrik Jeldtoft Cambridge University Press https://doi.org/10.1017/CBO9780511622717	book	January 2012
Subcritical Hopf Bifurcation and Stochastic Resonance of Electrical Activities in Neuron under Electromagnetic Induction Fu, Yu-Xuan; Kang, Yan-Mei; Xie, Yong Frontiers in Computational Neuroscience, Vol. 12 https://doi.org/10.3389/fncom.2018.00006	journal	February 2018
Pavlovian conditioning demonstrated with neuromorphic memristive devices Tan, Zheng-Hua; Yin, Xue-Bing; Yang, Rui Scientific Reports, Vol. 7, Issue 1 https://doi.org/10.1038/s41598-017-00849-7	journal	April 2017
An Advection-Diffusion Model for the Vacancy Migration Memristor Abraham, Isaac IEEE Access, Vol. 4 https://doi.org/10.1109/ACCESS.2016.2621721	journal	January 2016
Field- and irradiation-induced phenomena in memristive nanomaterials Mikhaylov, A. N.; Gryaznov, E. G.; Belov, A. I. physica status solidi (c), Vol. 13, Issue 10-12 https://doi.org/10.1002/pssc.201600083	journal	October 2016
The mise en scéne of memristive networks: effective memory, dynamics and learning Caravelli, Francesco International Journal of Parallel, Emergent and Distributed Systems, Vol. 33, Issue 4 https://doi.org/10.1080/17445760.2017.1320796	journal	February 2017
Local search heuristics for Quadratic Unconstrained Binary Optimization (QUBO) Boros, Endre; Hammer, Peter L.; Tavares, Gabriel Journal of Heuristics, Vol. 13, Issue 2 https://doi.org/10.1007/s10732-007-9009-3	journal	February 2007
Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing Kumar, Suhas; Strachan, John Paul; Williams, R. Stanley Nature, Vol. 548, Issue 7667 https://doi.org/10.1038/nature23307	journal	August 2017
Dendritic Nanostructures of Silver: Facile Synthesis, Structural Characterizations, and Sensing Applications Wen, Xiaogang; Xie, Yu-Tao; Mak, Wing Cheung Langmuir, Vol. 22, Issue 10 https://doi.org/10.1021/la060267x	journal	May 2006
Adaptive networks using learning matrices Steinbuch, Karl Kybernetik, Vol. 2, Issue 4 https://doi.org/10.1007/BF00272311	journal	February 1965
The parallel approach Di Ventra, Massimiliano; Pershin, Yuriy V. Nature Physics, Vol. 9, Issue 4 https://doi.org/10.1038/nphys2566	journal	April 2013
Reversible Electrical Switching Phenomena in Disordered Structures Ovshinsky, Stanford R. Physical Review Letters, Vol. 21, Issue 20 https://doi.org/10.1103/PhysRevLett.21.1450	journal	November 1968
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation Widrow, B.; Lehr, M. A. Proceedings of the IEEE, Vol. 78, Issue 9 https://doi.org/10.1109/5.58323	journal	January 1990
A Memristor SPICE Model Accounting for Synaptic Activity Dependence Li, Qingjiang; Serb, Alexander; Prodromakis, Themistoklis PLOS ONE, Vol. 10, Issue 3 https://doi.org/10.1371/journal.pone.0120506	journal	March 2015
Synaptic electronics: materials, devices and applications Kuzum, Duygu; Yu, Shimeng; Philip Wong, H-S Nanotechnology, Vol. 24, Issue 38 https://doi.org/10.1088/0957-4484/24/38/382001	journal	September 2013
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing Wang, Zhongrui; Joshi, Saumil; Savel’ev, Sergey E. Nature Materials, Vol. 16, Issue 1 https://doi.org/10.1038/nmat4756	journal	September 2016
Implementation of a spike-based perceptron learning rule using TiO2−x memristors Mostafa, Hesham; Khiat, Ali; Serb, Alexander Frontiers in Neuroscience, Vol. 9 https://doi.org/10.3389/fnins.2015.00357	journal	October 2015
The complexity of analog computation Vergis, Anastasios; Steiglitz, Kenneth; Dickinson, Bradley Mathematics and Computers in Simulation, Vol. 28, Issue 2 https://doi.org/10.1016/0378-4754(86)90105-9	journal	April 1986
Overview of emerging nonvolatile memory technologies Meena, Jagan; Sze, Simon; Chand, Umesh Nanoscale Research Letters, Vol. 9, Issue 1 https://doi.org/10.1186/1556-276X-9-526	journal	January 2014
Everything You Wish to Know About Memristors But Are Afraid to Ask Chua, L. Radioengineering, Vol. 24, Issue 2 https://doi.org/10.13164/re.2015.0319	journal	June 2015
The case for rejecting the memristor as a fundamental circuit element Abraham, Isaac Scientific Reports, Vol. 8, Issue 1 https://doi.org/10.1038/s41598-018-29394-7	journal	July 2018
An analytical model of memristors in plants Markin, Vladislav S.; Volkov, Alexander G.; Chua, Leon Plant Signaling & Behavior, Vol. 9, Issue 10 https://doi.org/10.4161/15592316.2014.972887	journal	October 2014
The Missing Memristor has Not been Found Vongehr, Sascha; Meng, Xiangkang Scientific Reports, Vol. 5, Issue 1 https://doi.org/10.1038/srep11657	journal	June 2015
On the physical properties of memristive, memcapacitive and meminductive systems Di Ventra, Massimiliano; Pershin, Yuriy V. Nanotechnology, Vol. 24, Issue 25 https://doi.org/10.1088/0957-4484/24/25/255201	journal	May 2013
Computational principles of synaptic memory consolidation Benna, Marcus K.; Fusi, Stefano Nature Neuroscience, Vol. 19, Issue 12 https://doi.org/10.1038/nn.4401	journal	October 2016
Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition Patil, Aakash; Shen, Shanlan; Yao, Enyi Neurocomputing, Vol. 261 https://doi.org/10.1016/j.neucom.2016.09.118	journal	October 2017
Scale-free networks as an epiphenomenon of memory Caravelli, F.; Hamma, A.; Di Ventra, M. EPL (Europhysics Letters), Vol. 109, Issue 2 https://doi.org/10.1209/0295-5075/109/28006	journal	January 2015
Equivalent-accuracy accelerated neural-network training using analogue memory Ambrogio, Stefano; Narayanan, Pritish; Tsai, Hsinyu Nature, Vol. 558, Issue 7708 https://doi.org/10.1038/s41586-018-0180-5	journal	June 2018
Electric currents in networks of interconnected memristors Nedaaee Oskoee, Ehsan; Sahimi, Muhammad Physical Review E, Vol. 83, Issue 3 https://doi.org/10.1103/PhysRevE.83.031105	journal	March 2011
Neuromorphic Atomic Switch Networks Avizienis, Audrius V.; Sillin, Henry O.; Martin-Olmos, Cristina PLoS ONE, Vol. 7, Issue 8 https://doi.org/10.1371/journal.pone.0042772	journal	August 2012
Why Are Memristor and Memistor Different Devices? Adhikari, Shyam Prasad; Kim, Hyongsuk IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 59, Issue 11 https://doi.org/10.1109/TCSI.2012.2189057	journal	November 2012
Self-organized criticality Turcotte, Donald L. Reports on Progress in Physics, Vol. 62, Issue 10 https://doi.org/10.1088/0034-4885/62/10/201	journal	September 1999
Implementation of a spike-based perceptron learning rule using TiO2− x memristors Mostafa, Hesham; Khiat, Ali; Serb, Alexander ETH Zurich https://doi.org/10.3929/ethz-b-000112393	text	January 2015
Emulating short-term synaptic dynamics with memristive devices Berdan, Radu; Vasilaki, Eleni; Khiat, Ali ETH Zurich https://doi.org/10.3929/ethz-b-000127183	text	January 2016
Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation Corradi, F.; Eliasmith, C.; Indiveri, G. Proceedings of the 2014 IEEE International Symposium on Circuits and Systems (ISCAS) https://doi.org/10.5167/uzh-107760	text	January 2014
Self-organized criticality Bak, Per Physica A: Statistical Mechanics and its Applications, Vol. 163, Issue 1 https://doi.org/10.1016/0378-4371(90)90348-v	journal	February 1990
Implementation of a spike-based perceptron learning rule using TiO2-x memristors Mostafa, Hesham; Khiat, Ali; Serb, Alexander Frontiers Research Foundation https://doi.org/10.5167/uzh-121756	text	January 2015
Anderson transitions Evers, Ferdinand; Mirlin, Alexander D. Universität Regensburg https://doi.org/10.5283/epub.46205	text	January 2008
Solving mazes with memristors: a massively-parallel approach Pershin, Yuriy; Di Ventra, Massimiliano Nature Precedings https://doi.org/10.1038/npre.2011.5748.1	journal	February 2011
Memristor Cellular Automata and Memristor Discrete-Time Cellular Neural Networks Itoh, Makoto; Chua, Leon O. International Journal of Bifurcation and Chaos, Vol. 19, Issue 11 https://doi.org/10.1142/s0218127409025031	journal	November 2009
Emulating short-term synaptic dynamics with memristive devices Berdan, Radu; Vasilaki, Eleni; Khiat, Ali Nature Publishing Group https://doi.org/10.5167/uzh-132668	text	January 2016
Anderson Transitions Evers, F.; Mirlin, A. D. arXiv https://doi.org/10.48550/arxiv.0707.4378	text	January 2007
Power laws and Self-Organized Criticality in Theory and Nature Markovic, Dimitrije; Gros, Claudius arXiv https://doi.org/10.48550/arxiv.1310.5527	text	January 2013
Universal Memcomputing Machines Traversa, Fabio L.; Di Ventra, Massimiliano arXiv https://doi.org/10.48550/arxiv.1405.0931	text	January 2014
Memristor models for machine learning Carbajal, Juan Pablo; Dambre, Joni; Hermans, Michiel arXiv https://doi.org/10.48550/arxiv.1406.2210	text	January 2014
Memcomputing NP-complete problems in polynomial time using polynomial resources and collective states Traversa, Fabio L.; Ramella, Chiara; Bonani, Fabrizio arXiv https://doi.org/10.48550/arxiv.1411.4798	text	January 2014
Stateful characterization of resistive switching TiO2 with electron beam induced currents Hoskins, Brian D.; Adam, Gina C.; Strelcov, Evgheni arXiv https://doi.org/10.48550/arxiv.1704.01475	text	January 2017
Locality of interactions for planar memristive circuits Caravelli, Francesco arXiv https://doi.org/10.48550/arxiv.1705.00244	text	January 2017
A mean-field model of memristive circuit interaction Caravelli, Francesco; Barucca, Paolo arXiv https://doi.org/10.48550/arxiv.1706.03001	text	January 2017
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation Payvand, Melika; Nair, Manu V.; Muller, Lorenz K. arXiv https://doi.org/10.48550/arxiv.1807.05128	text	January 2018
Nonlinear electrical conductivity in a 1D granular medium Falcon, Eric; Castaing, Bernard; Creyssels, Mathieu arXiv https://doi.org/10.48550/arxiv.cond-mat/0311453	text	January 2003
Electrical conductivity in granular media and Branly's coherer: A simple experiment Falcon, Eric; Castaing, Bernard arXiv https://doi.org/10.48550/arxiv.cond-mat/0407773	text	January 2004
Publisher’s Note: Superconducting Memristors [Phys. Rev. Applied2, 034011 (2014)] Peotta, Sebastiano; Di Ventra, Massimiliano Physical Review Applied, Vol. 2, Issue 4 https://doi.org/10.1103/physrevapplied.2.049901	journal	October 2014
Metal Oxide-enabled Reconfigurable Memristive Threshold Logic Gates Papandroulidakis, G.; Khiat, A.; Serb, A. 2018 IEEE International Symposium on Circuits and Systems (ISCAS) https://doi.org/10.1109/iscas.2018.8351192	conference	January 2018
K-means clustering in a memristive logic array Tissari, Jari; Poikonen, Jussi H.; Lehtonen, Eero 2015 IEEE 15th International Conference on Nanotechnology (IEEE-NANO) https://doi.org/10.1109/nano.2015.7388684	conference	July 2015
Memristor Circuits: Flux—Charge Analysis Method Corinto, Fernando; Forti, Mauro IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 63, Issue 11 https://doi.org/10.1109/tcsi.2016.2590948	journal	November 2016
Hierarchical Temporal Memory Using Memristor Networks: A Survey Krestinskaya, Olga; Dolzhikova, Irina; James, Alex Pappachen IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 2, Issue 5 https://doi.org/10.1109/tetci.2018.2838124	journal	October 2018
David Draper and E. I. George, and a rejoinder by the authors Volinsky, Chris T.; Raftery, Adrian E.; Madigan, David Statistical Science, Vol. 14, Issue 4 https://doi.org/10.1214/ss/1009212519	journal	November 1999
Hebbian and Anti-Hebbian Spike-Timing-Dependent Plasticity of Human Cortico-Cortical Connections Koch, G.; Ponzo, V.; Di Lorenzo, F. Journal of Neuroscience, Vol. 33, Issue 23 https://doi.org/10.1523/jneurosci.4988-12.2013	journal	June 2013
Asymptotic Behavior of Memristive Circuits Caravelli, Francesco Entropy, Vol. 21, Issue 8 https://doi.org/10.3390/e21080789	journal	August 2019
Having Fun with Lambert W(x) Function Veberic, Darko arXiv https://doi.org/10.48550/arxiv.1003.1628	preprint	January 2010
Reliable SPICE Simulations of Memristors, Memcapacitors and Meminductors Biolek, D.; Di Ventra, M.; Pershin, Y. V. arXiv https://doi.org/10.48550/arxiv.1307.2717	text	January 2013
Scale-free networks as an epiphenomenon of memory Caravelli, Francesco; Hamma, Alioscia; Di Ventra, Massimiliano arXiv https://doi.org/10.48550/arxiv.1312.2289	text	January 2013
Purely Mechanical Memristors: Perfect Massless Memory Resistors, the Missing Perfect Mass-Involving Memristor, and Massive Memristive Systems Vongehr, Sascha arXiv https://doi.org/10.48550/arxiv.1504.00300	preprint	January 2015
Emulating short-term synaptic dynamics with memristive devices Berdan, Radu; Vasilaki, Eleni; Khiat, Ali arXiv https://doi.org/10.48550/arxiv.1507.02066	preprint	January 2015
A cross-disciplinary introduction to quantum annealing-based algorithms Venegas-Andraca, Salvador E.; Cruz-Santos, William; McGeoch, Catherine arXiv https://doi.org/10.48550/arxiv.1803.03372	text	January 2018
Emulating short-term synaptic dynamics with memristive devices. Berdan, Radu; Vasilaki, Eleni; Khiat, Ali University of Southampton https://doi.org/10.5258/soton/384816	dataset	January 2015

Cited By (10)

Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain Pérez‐Tomás, Amador Advanced Materials Interfaces, Vol. 6, Issue 15 https://doi.org/10.1002/admi.201900471	journal	June 2019
Electrical Properties of Magnetoactive Boron‐Organo‐Silicon Oxide Polymers Monkman, Gareth J.; Striegl, Birgit; Prem, Nina Macromolecular Chemistry and Physics, Vol. 221, Issue 4 https://doi.org/10.1002/macp.201900342	journal	January 2020
Measurement of the activation energies of oxygen ion diffusion in yttria stabilized zirconia by flicker noise spectroscopy Yakimov, Arkady V.; Filatov, Dmitry O.; Gorshkov, Oleg N. Applied Physics Letters, Vol. 114, Issue 25 https://doi.org/10.1063/1.5098066	journal	June 2019
Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches Romero-Zaliz, Rocío; Pérez, Eduardo; Jiménez-Molinos, Francisco Electronics, Vol. 10, Issue 3 https://doi.org/10.3390/electronics10030346	journal	February 2021
Compensating Circuit to Reduce the Impact of Wire Resistance in a Memristor Crossbar-Based Perceptron Neural Network Micromachines, Vol. 10, Issue 10 https://doi.org/10.3390/mi10100671	journal	October 2019
Quantum Memristors in Frequency-Entangled Optical Fields Gonzalez-Raya, Tasio; Lukens, Joseph M.; Céleri, Lucas C. arXiv https://doi.org/10.48550/arxiv.1912.10019	text	January 2019
Fully analog memristive circuits for optimization tasks: a comparison Sheldon, Forrest C.; Caravelli, Francesco; Coffrin, Carleton arXiv https://doi.org/10.48550/arxiv.2009.00758	text	January 2020
Learning by mistakes in memristor networks Carbajal, Juan Pablo; Martin, Daniel Alejandro; Chialvo, Dante Renato arXiv https://doi.org/10.48550/arxiv.2011.07201	text	January 2020
Reservoir Computing with Thin-film Ferromagnetic Devices Dale, Matthew; Evans, Richard F. L.; Jenkins, Sarah arXiv https://doi.org/10.48550/arxiv.2101.12700	preprint	January 2021
Global minimization via classical tunneling assisted by collective force field formation Caravelli, Francesco; Sheldon, Forrest C.; Traversa, Fabio L. arXiv https://doi.org/10.48550/arxiv.2102.03385	text	January 2021

Similar Records

Heterosynaptic plasticity in biomembrane memristors controlled by pH

Journal Article · Mon Aug 29 00:00:00 EDT 2022 · MRS Bulletin · OSTI ID:1558048

McClintic, William T.; Scott, Haden L.; Moore, Nick; +7 more

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Journal Article · Tue Jan 01 00:00:00 EST 2019 · Journal of Visualized Experiments · OSTI ID:1558048

Najem, Joseph S.; Taylor, Graham J.; Armendarez, Nick; +7 more

Energy efficient photonic memory based on electrically programmable embedded III-V/Si memristors: switches and filters

Journal Article · Mon Mar 18 00:00:00 EDT 2024 · Communications Engineering · OSTI ID:1558048

Cheung, Stanley; Tossoun, Bassem; Yuan, Yuan; +6 more

Related Subjects

97 MATHEMATICS AND COMPUTING
memristors
review
machine learning

Title: Memristors for the Curious Outsiders

Citation Formats

References (189)

Cited By (10)

Similar Records

Related Subjects