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On the physical properties of memristive, memcapacitive and meminductive systems
Open accessAbstract
We discuss the physical properties of realistic memristive, memcapacitive and meminductive systems. In particular, by employing the well-known theory of response functions and microscopic derivations, we show that resistors, capacitors and inductors with memory emerge naturally in the response of systems-especially those of nanoscale dimensions-subjected to external perturbations. As a consequence, since memristances, memcapacitances and meminductances are simply response functions, they are not necessarily finite. This means that, unlike what has always been argued in some literature, diverging and non-crossing input-output curves of all these memory elements are physically possible in both quantum and classical regimes. For similar reasons, it is not surprising to find memcapacitances and meminductances that acquire negative values at certain times during dynamics, while the passivity criterion of memristive systems imposes always a non-negative value on the resistance at any given time. We finally show that ideal memristors, namely those whose state depends only on the charge that flows through them (or on the history of the voltage), are subject to very strict physical conditions and are unable to protect their memory state against the unavoidable fluctuations, and therefore are susceptible to a stochastic catastrophe. Similar considerations apply to ideal memcapacitors and meminductors.
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““memristors” understood merely as nonlinear resistors with memory have been described by Kubo theory in the 1950s14.”
From The Missing Memristor has Not been Found (2015) · cites this paper as [14]
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“Our perspective rests on the fact that memristive, memcapacitive, and meminductive devices and systems are simply generalizations of the traditional resistors, capacitors, and inductors to the case of memory response [6].”
From Comment on 'If it's pinched it's a memristor' (2019) · cites this paper as [6]
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Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,828
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268 · cited 5×
“By ideal memristors we mean those whose resistance depends only on the charge that flows in the system (or on the history of the voltage) [1, 3].”
BackgroundMethodInfluentialKubo, R. (1957) · Journal of the Physical Society of Japan · doi:10.1143/jpsj.12.570 · Cited by 9,441 · cited 10×
“function [19] (whether treating the electron problem quantum-”
BackgroundMethodInfluentialIrreversibility and heat generation in the computing process
Landauer, R. (1961) · IBM Journal of Research and Development · doi:10.1147/rd.53.0183 · Cited by 4,980
Nanoionics-based resistive switching memories
Waser, R., & Aono, M. (2007) · Nature Materials · doi:10.1038/nmat2023 · Cited by 4,923 · cited 1×
“From experiments, however, we know that the switching actually occurs as soon as the applied voltage or current exceeds its threshold value [31, 32, 23].”
BackgroundHandbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences
Gardiner, C. W. (1985) · Springer series in synergetics · doi:10.1007/978-3-662-02452-2 · Cited by 3,748
Thermal Agitation of Electric Charge in Conductors
Nyquist, H. (1928) · Physical Review · doi:10.1103/physrev.32.110 · Cited by 3,264 · cited 1×
“In particular, the (intrinsic) thermal agitation of electrons inside any voltage-controlled memristor is responsible for the well-known Johnson–Nyquist noise [28, 29] (voltage fluctuations).”
BackgroundCan programming be liberated from the von Neumann style?
Backus, J. (1978) · Communications of the ACM · doi:10.1145/359576.359579 · Cited by 2,607 · cited 1×
“Non-traditional computing represents an important research direction with the aim of solving the ‘von Neumann bottleneck’ that plagues our computer architectures [11].”
BackgroundMemristive devices and systems
Chua, L. O., & Kang, S. M. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10092 · Cited by 2,604
‘Memristive’ switches enable ‘stateful’ logic operations via material implication
Borghetti, J., Snider, G. S., Kuekes, P. J., Yang, J. J., Stewart, D. R., & Williams, R. S. (2010) · Nature · doi:10.1038/nature08940 · Cited by 1,929
Research works printed but not linked: 3
- Ashcroft N W, 1976, Solid State Physics
- Gilbert T L, 1955, Phys. Rev., 100, 1243
- Bigi I I, 1999, CP Violation
Cited by
Sorted by citations
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Dittmann, R., Menzel, S., & Waser, R. M. (2021) · Advances In Physics · doi:10.1080/00018732.2022.2084006 · Cited by 208
Universal Memcomputing Machines
Traversa, F. L., & Ventra, M. D. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2391182 · Cited by 150
“The whole concept of memcomputing can be realized in practice by utilizing physical properties of many materials and systems which show a certain degree of time non-locality (memory) in their response functions at particular frequencies and strengths of the inputs [14]–[16].”
BackgroundExperimental photonic quantum memristor
Spagnolo, M., Morris, J., Piacentini, S., Antesberger, M., Massa, F., Crespi, A., Ceccarelli, F., Osellame, R., & Walther, P. J. (2022) · Nature Photonics · doi:10.1038/s41566-022-00973-5 · Cited by 141
The Missing Memristor has Not been Found
Vongehr, S., & Meng, X. (2015) · Scientific Reports · doi:10.1038/srep11657 · Cited by 131
A Novel Window Function for Memristor Model With Application in Programming Analog Circuits
Zha, J., Huang, H., & Liu, Y. (2015) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2015.2505959 · Cited by 124
“On the other hand, in [17]–[19], some significant limitations of ideal memristor models were discussed.”
BackgroundTraversa, F. L., & Ventra, M. D. (2017) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4975761 · Cited by 115
“does not add any extra content to our discussion and all models and results can be similarly derived for the voltage-driven case. The coefficient > 0 can be linked to the physics of the memristors [23]. The conductance g(x) is given by (26) and it has been discussed in Sec. VI-B. The nonlinear function h(x;v M) can…”
BackgroundCho, S., Yun, C., Tappertzhofen, S., Kuršumović, A., Lee, S., Lu, P., Jia, Q. X., Fan, M., Jian, J., Wang, H., et al. (2016) · Nature Communications · doi:10.1038/ncomms12373 · Cited by 102
What are Memristor, Memcapacitor, and Meminductor?
Yin, Z., Tian, H., Chen, G.-H., & Chua, L. (2015) · IEEE Transactions on Circuits and Systems - II - Express Briefs · doi:10.1109/tcsii.2014.2387653 · Cited by 94
Perspective: Memcomputing: Leveraging memory and physics to compute efficiently
Ventra, M. D., & Traversa, F. L. (2018) · Journal of Applied Physics · doi:10.1063/1.5026506 · Cited by 99
“(1) and (2), starting from its microscopic dynamics [33].”
BackgroundThe case for rejecting the memristor as a fundamental circuit element
Abraham, I. (2018) · Scientific Reports · doi:10.1038/s41598-018-29394-7 · Cited by 95
“{?̇?C1, ?̇?C2} = {− j ω nb ′ (t), j ω nb ′ (t)} (13)”
Lessons from hafnium dioxide-based ferroelectrics
Noheda, B., Nukala, P., & Acuautla, M. (2023) · Nature Materials · doi:10.1038/s41563-023-01507-2 · Cited by 87
Pfeiffer, P. E., Egusquiza, I. L., Ventra, M. D., Sanz, M., & Solano, E. (2016) · Scientific Reports · doi:10.1038/srep29507 · Cited by 84
Quantum Memristors with Superconducting Circuits
Salmilehto, J., Deppe, F., Ventra, M. D., Sanz, M., & Solano, E. (2017) · Scientific Reports · doi:10.1038/srep42044 · Cited by 77
“In other words, a proper choice of the sinusoidal drive allows for tunable finite-area pinched loops [3].”
Pu, Y., Xiao, Y., & Bo, Y. (2018) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2018.2789907 · Cited by 73
“2789907 property [5]–[8] cannot enable such a memristor system to erratically change its state just under the influence of white current noise [12], [13], whose dynamic state equations allow the violation of Landauer’s principle of the minimum amount of energy [12], [14].”
BackgroundPeotta, S., & Ventra, M. D. (2014) · Physical Review Applied · doi:10.1103/physrevapplied.2.034011 · Cited by 72
Fracmemristor: Fractional-Order Memristor
Pu, Y., & Xiao, Y. (2016) · IEEE Access · doi:10.1109/access.2016.2557818 · Cited by 69
Memristors for the Curious Outsiders
Carbajal, J. P., & Caravelli, F. (2018) · Technologies · doi:10.3390/technologies6040118 · Cited by 70
“ing, as shown in an example taken from macroscopic granular materials [5]. In addition, hysteresis is a phenomenon that is common in nanoscale devices and it can be derived using Kubo response theory [6]. Kubo response theory is used to calculate the correction to the resistance induced by a time dependent perturbatio…”
MethodBrown, T. D., Kumar, S., & Williams, R. S. (2022) · Applied Physics Reviews · doi:10.1063/5.0070558 · Cited by 63
An Experimental Proof that Resistance‐Switching Memory Cells are not Memristors
Kim, J., Pershin, Y. V., Yin, M., Datta, T., & Ventra, M. D. (2020) · Advanced Electronic Materials · doi:10.1002/aelm.202000010 · Cited by 63
Self-citationInvited Article: Quantum memristors in quantum photonics
Sanz, M., Lamata, L., & Solano, E. (2018) · APL Photonics · doi:10.1063/1.5036596 · Cited by 56
Life and Understanding: The Origins of “Understanding” in Self-Organizing Nervous Systems
Yufik, Y. M., & Friston, K. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00098 · Cited by 53
“Our framework is systemtheoretic, focusing on the general principles of operation in the nervous system.”
BackgroundKuncic, Z., & Nakayama, T. (2021) · Advances in Physics X · doi:10.1080/23746149.2021.1894234 · Cited by 61
“The resistance change can be attributed to nanoscale geometric confinement of the material, in some cases modifying its band structure and associated tunnel barrier, but in general, the large surface-area-to-volume ratio dramatically enhances bias-catalysed redox reactions that couple electronic and ionic transport [4…”
BackgroundOn the validity of memristor modeling in the neural network literature
Pershin, Y. V., & Di Ventra, M. (2020) · Neural Networks · doi:10.1016/j.neunet.2019.08.026 · Cited by 49
“is physically necessary for any system with memory [65].”
BackgroundSelf-citationThe effect of changing electrode metal on solution-processed flexible titanium dioxide memristors
Gale, E., Pearson, D., Kitson, S., Adamatzky, A., & Costello, B. D. L. (2015) · Materials Chemistry and Physics · doi:10.1016/j.matchemphys.2015.03.037 · Cited by 53
Pawar, P. S., Tikke, R. S., Patil, V. B., Mullani, N. B., Waifalkar, P. P., Khot, K. V., Teli, A. M., Sheikh, A. D., & Dongale, T. D. (2017) · Materials Science in Semiconductor Processing · doi:10.1016/j.mssp.2017.07.009 · Cited by 47
Gonzales, C., Bou, A., Guerrero, A., & Bisquert, J. (2024) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.4c00945 · Cited by 43
Coexistence of memory resistance and memory capacitance in TiO2 solid-state devices
Salaoru, I., Li, Q., Khiat, A., & Prodromakis, T. (2014) · Nanoscale Research Letters · doi:10.1186/1556-276x-9-552 · Cited by 43
“We have then evaluated our devices' capacity to act as memcapacitors [40], via C-V tests using multi-frequency CVU.”
MethodUnderstanding memristors and memcapacitors in engineering mechanics applications
Pei, J., Wright, J. P., Todd, M. D., Masri, S. F., & Gay–Balmaz, F. (2015) · Nonlinear Dynamics · doi:10.1007/s11071-014-1882-3 · Cited by 42
“(For example in the case of Fig.25(2a), the weaker conditionM(x) ≥ −c is sufficient for passivity of the combined system; see Appendix A.) Nonetheless, the passivity condition will be adopted in this paper, despite contrary considerations in Di Ventra and Pershin(2013).”
BackgroundInfluentialInstantons in Self-Organizing Logic Gates
Bearden, S. R. B., Manukian, H., Traversa, F. L., & Ventra, M. D. (2018) · Physical Review Applied · doi:10.1103/physrevapplied.9.034029 · Cited by 39
Kamble, G. U., Shetake, N. P., Yadav, S., Teli, A. M., Patil, D. S., Pawar, S. A., Karanjkar, M. M., Patil, P. S., Shin, J. C., Orlowski, M., et al. (2018) · International nano letters. · doi:10.1007/s40089-018-0249-z · Cited by 38
Low voltage resistive switching devices based on chemically produced silicon oxide
Li, C., Jiang, H., & Xia, Q. (2013) · Applied Physics Letters · doi:10.1063/1.4817970 · Cited by 36
Dongale, T. D., Bagade, A. A., Mohite, S. V., Rananavare, A. D., Orlowski, M., Kamat, R. K., & Rajpure, K. Y. (2017) · Journal of Materials Science Materials in Electronics · doi:10.1007/s10854-017-8258-7 · Cited by 35
Control the stability in chaotic circuit coupled by memristor in different branch circuits
Guo, Y., Yao, Z., Xu, Y., & Ma, J. (2021) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2021.154074 · Cited by 35
Solitonic Josephson-based meminductive systems
Guarcello, C., Solinas, P., Ventra, M. D., & Giazotto, F. (2017) · Scientific Reports · doi:10.1038/srep46736 · Cited by 36
Kim, J.-D., Baek, Y.-J., Choi, Y. J., Kang, C. J., Lee, H. H., Kim, H.-M., Kim, K. B., & Yoon, T. (2013) · Journal of Applied Physics · doi:10.1063/1.4846759 · Cited by 32
Ventra, M. D. (2022) · doi:10.1093/oso/9780192845320.001.0001 · Cited by 31
Two-Dimensional Brain Microtubule Structures Behave as Memristive Devices
Cantero, M. D. R., Perez, P. L., Scarinci, N., & Cantiello, H. F. (2019) · Scientific Reports · doi:10.1038/s41598-019-48677-1 · Cited by 32
Kamble, G. U., Takaloo, A. V., Teli, A. M., Kim, Y. J., Sonar, P. M., Dongale, T. D., Kim, D., & Kim, T. W. (2021) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2021.159653 · Cited by 30
Bou, A., Gonzales, C., Boix, P. P., Vaynzof, Y., Guerrero, A., & Bisquert, J. (2024) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.4c03132 · Cited by 26
Design and development of memristor‐based RRAM
Pal, S., Gupta, V., Ki, W., & Islam, A. (2019) · IET Circuits Devices & Systems · doi:10.1049/iet-cds.2018.5388 · Cited by 26
“Although simple in structure, these models suffer from the innate issue that in the presence of large electric fields across the memristor, these models cannot capture the non-linear effects [11].”
BackgroundNon-volatile low-power crossbar memcapacitor-based memory
Emara, A. A. M., Aboudina, M. M., & Fahmy, H. A. H. (2017) · Microelectronics Journal · doi:10.1016/j.mejo.2017.04.005 · Cited by 24
Hardware Security For and Beyond CMOS Technology
Knechtel, J. (2020) · International Symposium on Physical Design · doi:10.1145/3372780.3378175 · Cited by 23
Quantum Memristors in Frequency-Entangled Optical Fields
Gonzalez-Raya, T., Lukens, J. M., Céleri, L. C., & Sanz, M. (2020) · Materials · doi:10.3390/ma13040864 · Cited by 22
“Since we are assuming high-precision control of the internal variable in our system, the effect of the memristor stochastic catastrophe is negligible [30].”
BackgroundNoh, Y., & Smolyanitsky, A. (2024) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.3c03156 · Cited by 22
“…delays built into the dynamic response of essentially any realistic system, as predicted by the Kubo response theory [17] and conceptually detailed by Di Ventra and Per-shin specifically for memory-featuring versions of the basic circuit elements such as resistors, capacitors, and inductors [18].”
MethodHard and soft excitation of oscillations in memristor-based oscillators with a line of equilibria
Александрович, К. И., Вадивасова, Т. Е., & Семенов, В. В. (2017) · Nonlinear Dynamics · doi:10.1007/s11071-017-3628-5 · Cited by 22
“It has been shown in [34,99] that memristor would erratically”
BackgroundPark, S., Klett, S., Ivanov, T., Knauer, A., Döll, J., & Ziegler, M. (2021) · Frontiers in Nanotechnology · doi:10.3389/fnano.2021.670762 · Cited by 20
“For this application, they enable the realization of extremely energy-efficient hardware (Massimiliano and Yuriy, 2013; Ignatov et al., 2017) and have the potential of a high integration capability due to their simple two-terminal device structure (Lin et al., 2020).”
BackgroundConducting-insulating transition in adiabatic memristive networks
Sheldon, F. C., & Ventra, M. D. (2017) · Physical review. E · doi:10.1103/physreve.95.012305 · Cited by 19
Revisiting the memristor concept within basic circuit theory
Tellini, B., Bologna, M., Chandía, K., & Macucci, M. (2021) · International journal of circuit theory and applications · doi:10.1002/cta.3111 · Cited by 16
“The dissipative nature of the memristor was realized also by Di Ventra and Pershin,27 who point out that, as a result of such dissipative behavior, the memristor violates the time-reversal invariance.”
BackgroundMethodInfluentialPhoto-Electrosensitive Memristor Using Oxygen Doping in HgTe Nanocrystal Films
Cryer, M. E., Fiedler, H., & Halpert, J. E. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b05429 · Cited by 17
Window function for fractional-order HP Ti O 2 non-linear memristor model
Shi, M., Yu, Y., & Xu, Q. (2018) · IET Circuits Devices Syst. · doi:10.1049/iet-cds.2017.0414 · Cited by 13
Duality in Resistance Switching Behavior of TiO2-Cu2ZnSnS4Device
Sarswat, P. K., Smith, Y. R., Free, M. L., & Misra, M. (2015) · ECS Journal of Solid State Science and Technology · doi:10.1149/2.0071508jss · Cited by 17
Memcomputing Implementation of Ant Colony Optimization
Pershin, Y. V., & Ventra, M. D. (2016) · Neural Processing Letters · doi:10.1007/s11063-016-9497-y · Cited by 16
“Indeed, for physical reasons [22] this is the type of elements that can mainly be realized experimentally.”
BackgroundSelf-citationSolution-based manufacturing of 2D materials for memristive device applications
Nam, K., Kim, G. Y., Rhee, D., Park, H., Jariwala, D., & Kang, J. (2025) · International Journal of Extreme Manufacturing · doi:10.1088/2631-7990/add634 · Cited by 15
“…by the HP group in 2008, along with those reported by other groups, is not an ideal mem-ristor but rather a memristive device defined by Chua and Kang in 1976 [67] because its memristance depends on both charge and additional state variables, rather than solely on charge [66, 70, 90 − 92] .”
A double–membrane neuron and circuit containing a memcapacitor
Lei, Z., Zhang, Z., Guo, Q., & Zhu, Z. (2025) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2025.117436 · Cited by 14
The fourth fundamental circuit element: principle and applications
Sun, Y. (2022) · Journal of Physics D Applied Physics · doi:10.1088/1361-6463/ac4a98 · Cited by 15
Robust Memristor Networks for Neuromorphic Computation Applications
Hajtó, D., Rák, Á., & Cserey, G. (2019) · Materials · doi:10.3390/ma12213573 · Cited by 13
“APMs, which have practically an infinitely many numbers of states, are yet to be introduced and might even be impossible to produce due to physical limitations [12]; or it requires new quantum mechanical solutions, which are also under development [13].”
BackgroundComparison of Off-Chip Training Methods for Neuromemristive Systems
Merkel, C. E., & Kudithipudi, D. (2015) · International Conference on VLSI Design · doi:10.1109/vlsid.2015.22 · Cited by 12
Trajectories Entropy in Dynamical Graphs with Memory
Caravelli, F. (2016) · Frontiers in Robotics and AI · doi:10.3389/frobt.2016.00018 · Cited by 12
“One of the interesting features of memristors is that these can be used both in analog or digital mode, and in combination with CMOS components [15].”
BackgroundElectromechanical Emulator of Memristive Systems and Devices
Asapu, S., & Pershin, Y. V. (2015) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2015.2478864 · Cited by 12
“These theoretical foundations provide a unified device modeling approach that is (to a certain extent) compatible with the fundamental physics theories [5], such as the Kubo response theory [6].”
ResultSelf-citationCorrected and accurate Verilog-A for linear dopant drift model of memristors
Emara, A. A. M., Aboudina, M. M., & Fahmy, H. A. H. (2014) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2014.6908461 · Cited by 12
The mise en scéne of memristive networks: effective memory, dynamics and learning
Caravelli, F. (2017) · International Journal of Parallel Emergent and Distributed Systems · doi:10.1080/17445760.2017.1320796 · Cited by 12
“he boundaries). These are Current-Controlled memristors: d dt w= a~i; (10) and Voltage-Controlled memristors: d dt w= b~v; (11) which are two dierent types of memristors considered in the literature [31, 32], and aand bare simply constants. In both eqns. (10) and (11) one can uses the network constraints in order to o…”
BackgroundMemcapacitors in neuromorphic architectures: the mechanisms, challenges, and applications
Chen, K., Shih, L., Chen, Y.-C., Lin, K., & Chen, J. (2025) · Journal of Materials Chemistry C · doi:10.1039/d5tc00993f · Cited by 11
Analysis and implementation of a meminductor-based colpitts sinusoidal oscillator
Setoudeh, F., & Dousti, M. (2022) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2022.111814 · Cited by 11
The Potential of SoC FPAAs for Emerging Ultra-Low-Power Machine Learning
Hasler, J. (2022) · Journal of Low Power Electronics and Applications · doi:10.3390/jlpea12020033 · Cited by 11
Architecture of resistive RAM with write driver
Dubey, S. K., Reddy, A., Patel, R., Abz, M., Srinivasulu, A., & Islam, A. (2020) · Solid State Electronics Letters · doi:10.1016/j.ssel.2020.01.001 · Cited by 11
Comment on 'If it's pinched it's a memristor'
Pershin, Y. V., & Ventra, M. D. (2019) · Semiconductor Science and Technology · doi:10.1088/1361-6641/ab3584 · Cited by 10
“At the same time, the “ideal memristor” (in the sense of its original definition [3]) still remains an elusive/idealized concept, leading many researchers to raise serious concerns about its actual existence as a physically-realizable device [4, 5, 6, 7, 8].”
BackgroundSelf-citationPershin, Y. V., Castelano, L. K., Hartmann, F., Lopez‐Richard, V., & Ventra, M. D. (2016) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2016.2530378 · Cited by 10
“The threshold is a fundamental feature of realistic devices [23], and it is necessary for the type of operations that we want to”
Self-citationSibatov, R. T., Savitskiy, A. I., Львов, П. Е., Vasilevskaya, Y. O., & Kitsyuk, E. P. (2023) · Nanomaterials · doi:10.3390/nano13142039 · Cited by 10
Localized modes in a variety of driven long Josephson junctions with phase shifts
Gul, Z., & Ali, A. (2018) · Nonlinear Dynamics · doi:10.1007/s11071-018-4355-2 · Cited by 10
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Nikolaidou, A. E., Mougkogiannis, P., & Adamatzky, A. (2025) · ACS Omega · doi:10.1021/acsomega.4c09743 · Cited by 10
Smirnova, E. Y., & Аносов, А. А. (2023) · Membranes · doi:10.3390/membranes13010097 · Cited by 9
Chandrashekar, G., Rekha, S. M., Bhat, S. V., & Thamankar, R. (2025) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.5c00341 · Cited by 8
Shi, F., Cao, Y., Xu, X., Banerjee, S., & Mou, J. (2025) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2025.117435 · Cited by 9
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Hartmann, F., Maier, P. J., Dias, M. R. S., Göpfert, S., Castelano, L. K., Emmerling, M., Schneider, C., Höfling, S., Kamp, M., Pershin, Y. V., et al. (2017) · Nano Letters · doi:10.1021/acs.nanolett.6b04911 · Cited by 8
Self-citationPinched Hysteresis Loop Characteristics of a Fractional-Order HP TiO2 memristor
Shi, M., & Hu, S.-L. (2017) · LSMS/ICSEE · doi:10.1007/978-981-10-6373-2_70 · Cited by 8
GNOSTRON: a framework for human-like machine understanding
Yufik, Y. M. (2018) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci.2018.8628650 · Cited by 8
Ideal memcapacitors and meminductors are overunity devices
Jeltsema, D., & van der Schaft, A. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-73833-3 · Cited by 8
Microwave quantum memcapacitor effect
Qiu, X., Kumar, S., Cárdenas-López, F. A., Barrios, G. A., Solano, E., & Albarrán-Arriagada, F. (2024) · Communications Materials · doi:10.1038/s43246-024-00505-4 · Cited by 7
“It is important to mention that our proposal differs from the ideal memory device, where the input-output relation gives perfect close loops, nevertheless, as Kubo’s response theory, these results can be linked with memory properties of the proposed device [48].”
ResultScalable oxide-based memcapacitive crossbar arrays for 1 Kb neuromorphic memory
Paul, A., Yadav, S. K., Rokade, K. A., Shembade, U. V., Hindoliya, L. K., Dubey, M., Dongale, T. D., Chueh, Y., & Mukherjee, S. (2025) · Journal of Physics D Applied Physics · doi:10.1088/1361-6463/add8a0 · Cited by 6
“V curve in capacitive-dominated systems [22].”
An experimental demonstration of the memristor test
Pershin, Y. V., Kim, J., Datta, T., & Ventra, M. D. (2022) · Physica E Low-dimensional Systems and Nanostructures · doi:10.1016/j.physe.2022.115290 · Cited by 6
“The question of whether or not the resistance switching cells are memristors [1, 2] has intrigued the scientific community since the early days of the modern ‘memristor era’ [3, 4, 5, 6, 7, 8].”
BackgroundSelf-citationGale, E., Costello, B. D. L., Erokhin, V. V., & Adamatzky, A. (2014) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2014.6865758 · Cited by 6
“The requirement that the memristor cross at the origin (as opposed to being merely pinched at the origin) was relaxed [5], [6] with suggestions that it might not be necessary condition to define a memristor [7] and that real devices can posses a ‘nanobattery’ [8].”
BackgroundMapping electric fields in real nanodevices by operando electron holography
Brodovoi, M., Gruel, K., Massebœuf, A., Chapuis, L., Hÿtch, M., Lorut, F., & Gatel, C. (2022) · Applied Physics Letters · doi:10.1063/5.0092019 · Cited by 6
ReRAM Cells in the Framework of Two‐Terminal Devices
Linn, E., Ventra, M. D., & Pershin, Y. V. (2016) · doi:10.1002/9783527680870.ch2 · Cited by 6
Self-citationNeuromorphic system using capacitor synapses
Oshio, R., Kuwahara, T., Aoki, T., Kimura, M., & Nakashima, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-87924-6 · Cited by 5
Abbasi, A., Setoudeh, F., Tavakoli, M. B., & Horri, A. (2021) · Semiconductor Science and Technology · doi:10.1088/1361-6641/abf7d4 · Cited by 5
“The memcapacitance can therefore be obtained as follows [43, 44, 47]:”
BackgroundShin, S. J., & Chung, T. D. (2021) · Chemistry - An Asian Journal · doi:10.1002/asia.202100798 · Cited by 5
Memristor, Memcapacitor, Meminductor : Models and Experimental Circuit Emulators
Kebbati, Y., Allaume, P. S., & Bennani, Y. (2022) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.4882 · Cited by 4
Memristive and Memcapacitive Models of Physarum Learning
Pershin, Y. V., & Ventra, M. D. (2016) · Emergence, complexity and computation · doi:10.1007/978-3-319-26662-6_21 · Cited by 3
Self-citationHigh-Speed, Low-Power, and Area-Efficient 5T4M Memristor-Based Ternary Content Addressable Memory
Maruf, M. H., & Ali, S. I. (2023) · IETE Technical Review · doi:10.1080/02564602.2023.2279155 · Cited by 3
Low-Power Switching of Memristors Exhibiting Fractional-Order Dynamics
Astin, N., & Pershin, Y. V. (2025) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine66377.2025.11340470 · Cited by 2
Self-citationAn Overview of Sinusoidal Oscillators Based on Memristive Devices
Setoudeh, F., & Dezhdar, M. M. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.111807 · Cited by 2
Switching synchronization in one-dimensional memristive networks: An exact solution
Slipko, V. A., & Pershin, Y. V. (2017) · Physical review. E · doi:10.1103/physreve.96.062213 · Cited by 2
Self-citationTernary Device using Graphene Memcapacitor for Post Binary Era
Patel, J. A., Sandhie, Z. T., & Chowdhury, M. H. (2018) · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · doi:10.1109/mwscas.2018.8624098 · Cited by 2
Mahmoodpoor, A., Marunchenko, A., & Makarov, S. (2024) · Advanced Electronic Materials · doi:10.1002/aelm.202400396 · Cited by 1
Ventra, M. D., & Pershin, Y. V. (2023) · SpringerBriefs in physics · doi:10.1007/978-3-031-25625-7_2 · Cited by 1
Self-citationMulti-Level Capacitive Memory Effect in Metal/Oxide/Floating-Schottky Junction
Choi, G., Yoon, H. H., Park, K., Kim, J., Jung, S., & Chong, Y. (2019) · Journal of the Korean Physical Society · doi:10.3938/jkps.74.979 · Cited by 1
Ernoult, M. (2020) · theses.fr (ABES) · doi:10.70675/1ec5c554z9a7fz4244zaf72z8a780cac9faa · Cited by 1
Similarity between the response of memristive and memcapacitive circuits subjected to ramped voltage
Kanygin, M., Katkov, M. V., & Pershin, Y. (2017) · Journal of Nanophotonics · doi:10.1117/1.jnp.11.032507
“Energy barriers are required for nonvolatile information storage.(14,15) In the presence of barriers, the applied signal must exceed a threshold value to change the device state.”
BackgroundSelf-citationRacetrack memory based logic design for in-memory computing
Luo, T. (2018) · doi:10.32657/10356/73359
“However, the theory and related technology of the memristors are far from mature [47, 48].”
BackgroundNanostructure Biomimetic Sensing and Energy Storage: Organic Memristor/Memcapacitors
Chen, E. T. (2014) · CRC Press eBooks · doi:10.1081/e-enn3-120054061
Metadata
- Authors
- Di Ventra, M., & Pershin, Y. V.
- Affiliations
- University of South Carolina (US)
- Venue
- Nanotechnology
- Publisher
- IOP Publishing
- Published
- 2013-05-24
- Volume
- 24
- Issue
- 25
- Pages
- 255201
- ISSN
- 0957-4484 (ISSN-L)
- 1361-6528
- OpenAlex
- W2135517727
- Semantic Scholar
- c36f81401d2c03a40a32c218b3d5f1e048af075d
- Cited by
- 130
- References
- 29
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 7 · 2023: 8 · 2022: 26 · 2021: 8 · 2020: 7 · 2019: 7 · 2018: 13 · 2017: 13 · 2016: 9 · 2015: 9 · 2014: 5 · 2013: 2
- FWCI
- 5.00
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nanotechnology (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (0802830, 1202383)
- University of California, San Diego
- Division of Materials Research
- Division of Electrical, Communications and Cyber Systems (ECCS-1202383)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Advanced Thermodynamics and Statistical Mechanics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Ferroelectric and Negative Capacitance Devices
- Keywords
- memristors, memcapacitor, meminductor, memory elements, response functions, nanosystems, input-output curves
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