Publications
124 results found
Raeis-Hosseini N, Georgiadou DG, Papavassiliou C, 2023, Addition to “High On/Off Ratio Carbon Quantum Dot–Chitosan Biomemristors with Coplanar Nanogap Electrodes”, ACS Applied Electronic Materials, Vol: 5, Pages: 1313-1313, ISSN: 2637-6113
Raeis-Hosseini N, Georgiadou DG, Papavassiliou C, 2022, High on/off ratio carbon quantum dot–chitosan biomemristors with coplanar nanogap electrodes, ACS Applied Electronic Materials, ISSN: 2637-6113
A carbon-based natural nanocomposite material comprising carbon quantum dots (CQDs) is dispersed in a chitosan matrix. The CQD–chitosan nanocomposite serves as a solid polymer electrolyte layer of a biomemristor with a Au/CQD–chitosan/Al structure. The active layer of the CQD–chitosan nanocomposite is deposited from its solution on top of coplanar asymmetric nanogap (∼15 nm) Al–Au electrodes, patterned via adhesion lithography. The CQD–chitosan biomemristor presents a high on/off ratio (>106) and reproducible and reliable bipolar resistive switching behavior. An endurance of 160 cycles was recorded, while the high and low resistance states remained stable for more than 104 s. This study highlights the potential of both the CQD–chitosan material and nanogap electrode structures for application in nanoscale biocompatible memory devices.
Alshaya A, Han Q, Papavassiliou C, 2022, Passive Selectorless Memristive Structure with One Capacitor-One Memristor, 2022 International Conference on Microelectronics (ICM), Publisher: IEEE
Alshaya A, Han Q, Papavassiliou C, 2022, RRAM, Device, Model and Memory, 2022 International Conference on Microelectronics (ICM), Publisher: IEEE
Wang C, Si Z, Jiang X, et al., 2022, Multi-State Memristors and Their Applications: An Overview, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol: 12, Pages: 723-734, ISSN: 2156-3357
Xie L, Shen J, Mifsud A, et al., 2022, A wide dynamic range read-out system for resistive switching technology, 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 2003-2007
The memristor, because of its controllability over a wide dynamic range of resistance, has emerged as a promising device for data storage and analog computation. A major challenge is the accurate measurement of memristance over a wide dynamic range. In this paper, a novel read-out circuit with feedback adjustment is proposed to measure and digitise input current in the range between 20nA and 2mA. The magnitude of the input currents is estimated by a 5-stage logarithmic current-to-voltage amplifier which scales a linear analog-to-digital converter. This way the least significant bit tracks the absolute input magnitude. This circuit is applicable to reading single memristor conductance, and is also preferable in analog computing where read-out accuracy is particularly critical. The circuits have been realized in Bipolar-CMOS-DMOS (BCD) Gen2 technology.
Shen J, Mifsud A, Xie L, et al., 2022, A high-voltage characterisation platform for emerging resistive switching technologies, 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 3537-3541
Emerging memristor-based array architectures have been effectively employed in non-volatile memories and neuro-morphic computing systems due to their density, scalability and capability of storing information. Nonetheless, to demonstrate a practical on-chip memristor-based system, it is essential to have the ability to apply large programming voltage ranges during the characterisation procedures for various memristor technologies. This work presents a 16x16 high voltage memristor characterisation array employing high voltage CMOS circuitry. The proposed system has a maximum programming range of ±22V to allow on-chip electroforming and I-V sweep. In addition, a Kelvin voltage sensing system is implemented to improve the readout accuracy for low memristance measurements. This work addresses the limitation of conventional CMOS-memristor platforms which can only operate at low voltages, thus limiting the characterisation range and integration options of memristor technologies.
Mifsud A, Shen J, Feng P, et al., 2022, A CMOS-based characterisation platform for emerging RRAM technologies, 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 75-79
Mass characterisation of emerging memory devices is an essential step in modelling their behaviour for integration within a standard design flow for existing integrated circuit designers. This work develops a novel characterisation platform for emerging resistive devices with a capacity of up to 1 million devices on-chip. Split into four independent sub-arrays, it contains on-chip column-parallel DACs for fast voltage programming of the DUT. On-chip readout circuits with ADCs are also available for fast read operations covering 5-decades of input current (20nA to 2mA). This allows a device’s resistance range to be between 1kΩ and 10MΩ with a minimum voltage range of ±1.5V on the device.
Nassibi A, Papavassiliou C, Atashzar SF, 2022, Depression diagnosis using machine intelligence based on spatiospectrotemporal analysis of multi-channel EEG, MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, Vol: 60, Pages: 3187-3202, ISSN: 0140-0118
Maheshwari S, Serb A, Papavassiliou C, et al., 2022, An Adiabatic Capacitive Artificial Neuron With RRAM-Based Threshold Detection for Energy-Efficient Neuromorphic Computing, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, Vol: 69, Pages: 3512-3525, ISSN: 1549-8328
Foster P, Huang J, Serb A, et al., 2022, An FPGA-based system for generalised electron devices testing, Scientific Reports, Vol: 12, ISSN: 2045-2322
Electronic systems are becoming more and more ubiquitous as our world digitises. Simultaneously, even basic components are experiencing a wave of improvements with new transistors, memristors, voltage/current references, data converters, etc, being designed every year by hundreds of R &D groups world-wide. To date, the workhorse for testing all these designs has been a suite of lab instruments including oscilloscopes and signal generators, to mention the most popular. However, as components become more complex and pin numbers soar, the need for more parallel and versatile testing tools also becomes more pressing. In this work, we describe and benchmark an FPGA system developed that addresses this need. This general purpose testing system features a 64-channel source-meter unit, and [Formula: see text] banks of 32 digital pins for digital I/O. We demonstrate that this bench-top system can obtain [Formula: see text] current noise floor, [Formula: see text] pulse delivery at [Formula: see text] and [Formula: see text] maximum current drive/channel. We then showcase the instrument's use in performing a selection of three characteristic measurement tasks: (a) current-voltage characterisation of a diode and a transistor, (b) fully parallel read-out of a memristor crossbar array and (c) an integral non-linearity test on a DAC. This work introduces a down-scaled electronics laboratory packaged in a single instrument which provides a shift towards more affordable, reliable, compact and multi-functional instrumentation for emerging electronic technologies.
Raeis-Hosseini N, Chen S, Papavassiliou C, et al., 2022, Impact of Zr top electrode on tantalum oxide-based electrochemical metallization resistive switching memory: towards synaptic functionalities, RSC Advances: an international journal to further the chemical sciences, Vol: 12, Pages: 14235-14245, ISSN: 2046-2069
Electrochemical metallization memory (ECM) devices have been made by sub-stoichiometric deposition of a tantalum oxide switching film (Ta2O5−x) using sputtering. We investigated the influence of zirconium as the active top electrode material in the lithographically fabricated ECM devices. A simple capacitor like (Pt/Zr/Ta2O5−x/Pt) structure represented the resistive switching memory. A cyclic voltammetry measurement demonstrated the electrochemical process of the memory device. The I–V characteristics of ECMs show stable bipolar resistive switching properties with reliable endurance and retention. The resistive switching mechanism results from the formation and rupture of a conductive filament characteristic of ECM. Our results suggest that Zr can be considered a potential active electrode in the ECMs for the next generation of nonvolatile nanoelectronics. We successfully showed that the ECM device can work under AC pulses to emulate the essential characteristics of an artificial synapse by further improvements.
Wang D, Wang S, Prodromakis T, et al., 2022, Delta-Sigma Modulator Design Using a Memristive FIR DAC, 29th IEEE International Conference on Electronics, Circuits and Systems (IEEE ICECS), Publisher: IEEE
Malik A, Papavassiliou C, Stathopoulos S, 2022, An Absorbing Markov Chain Model for Stochastic Memristive Devices, 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), Publisher: IEEE
Si Z, Wang C, Malik A, et al., 2022, Memristor-assisted Background Calibration for Analog-to-Digital Converter, 20th IEEE Interregional NEWCAS Conference (IEEE NEWCAS), Publisher: IEEE, Pages: 470-474
Maheshwari S, Stathopoulos S, Wang J, et al., 2021, Design flow for hybrid CMOS/memristor systems--Part II: circuit schematics and layout, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol: 68, Pages: 4876-4888, ISSN: 1549-8328
\normalsize The capability of in-memory computation, reconfigurability, low power operation as well as multistate operation of the memristive device deems them a suitable candidate for designing electronic circuits with a broad range of applications. Besides, the integrability of memristor with CMOS enables it to use in logic circuits too. In this work, we demonstrate with examples the design flow for memristor-based electronics, after the custom memristor model already being integrated and validated into our chosen Computer-Aided Design (CAD) tool to performing layout-versus-schematic and post-layout checks including the memristive device. We envisage that this step-by-step guide to introducing memristor into the standard integrated circuit design flow will be a useful reference document for both device developers who wish to benchmark their technologies and circuit designers who wish to experiment with memristive-enhanced systems.
Maheshwari S, Stathopoulos S, Wang J, et al., 2021, Design flow for hybrid CMOS/memristor systems--Part I: modeling and verification steps, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol: 68, Pages: 4862-4875, ISSN: 1549-8328
Memristive technology has experienced explosive growth in the last decade, with multiple device structures being developed for a wide range of applications. However, transitioning the technology from the lab into the marketplace requires the development of an accessible and user-friendly design flow, supported by an industry-grade toolchain. In this work, we demonstrate the behaviour of our in-house fabricated custom memristor model and its integration into the Cadence Electronic Design Automation (EDA) tools for verification. Various input stimuli were given to record the memristive device characteristics both at the device level as well as the schematic level for verification of the memristor model. This design flow from device to industrial level EDA tools is the first step before the model can be used and integrated with Complementary Metal-Oxide Semiconductor (CMOS) in applications for hybrid memristor/CMOS system design.
Wang J, Serb A, Papavassiliou C, et al., 2021, Analysing and measuring the performance of memristive integrating amplifiers, INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, Vol: 49, Pages: 3507-3525, ISSN: 0098-9886
Maheshwari S, Serb A, Papavassiliou C, et al., 2021, An Adiabatic Regenerative Capacitive Artificial Neuron, 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE
Wang J, Serb A, Papavassiliou C, et al., 2021, Accounting for Memristor I-V Non-Linearity in Low Power Memristive Amplifiers, 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE
Shen J, Stathopoulos S, Prodromakis T, et al., 2021, A reconfigurable CMOS-memristor active inductor, ISCAS 2020, ISSN: 0271-4310
A methodology is introduced here to exploit the programmability of the memristors in order to realize reconfigurable monolithic analogue circuit elements. Classical network synthesis methods are used to synthesize adjustable active inductors with inductance values exceeding those of on-chip passives by several orders of magnitude. In this paper, a wide range of active inductance values are obtained by employing memristor to control the biasing current of operational transconductance amplifiers used to implement gyrators. The gyration constant of the proposed gyrator will be linearly controlled by memristance state. The implementation of the designed circuit is realized in 0.18µm commercially available complementary metal-oxide-semiconductor (CMOS) technology from TSMC. Circuit performance is simulated using Cadence Virtuoso. The utilized off-chip memristor is a metal-oxide bi-layer memristor which exhibits a non-volatile memristance range of 4.7kΩ to 170kΩ. The active inductance range achieved is from approximately 95µH to 1.55mH with an inductive bandwidth of 69MHz and 18MHz respectively. The total power consumption is between 0.21mW to 1.95mW depending on the memristance and equivalent inductance.
Malik A, Papavassiliou C, Stathopoulos S, 2021, A Stochastic Compact Model Describing Memristor Plasticity and Volatility, 28th IEEE International Conference on Electronics, Circuits, and Systems (IEEE ICECS), Publisher: IEEE
Wang C, Xie L, Jiang X, et al., 2021, Design of a Multi-State Memristive Memory, 28th IEEE International Conference on Electronics, Circuits, and Systems (IEEE ICECS), Publisher: IEEE
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Szypicyn J, Papavassiliou C, Papandroulidakis G, et al., 2020, Memristor-Enabled Reconfigurable Integrated Circuits, 19th International Conference on Electronics, Information, and Communication (ICEIC), Publisher: IEEE
Foster P, Huang J, Serb A, et al., 2020, Live Demonstration: Electroforming of TiO2-x memristor devices using high speed pulses, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, ISSN: 0271-4302
Foster P, Huang J, Serb A, et al., 2020, An FPGA based system for interfacing with crossbar arrays, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, ISSN: 0271-4302
Fobelets K, Thielemans K, Mathivanan A, et al., 2019, Characterization of nnitted coils for e-textiles, IEEE Sensors Journal, Vol: 19, Pages: 7835-7840, ISSN: 1530-437X
Inductor coils are integrated in many wearable garments for EM wave screening, heating and health monitoring. This paper presents a critical evaluation of the inductor characteristics of circular weft knitted coils for applications in e-textiles. Inductors are knitted using circular needles with thin insulated metal wire and yarn knitted together. The resulting helical coils are characterized as a function of number of turns, coil diameter, needle size, and insulated metal wire material. The results are compared to wound coils. Simulations of the knitted and wound coils show close agreement with the experimental results and confirm a higher inductance for the knits compared to the wound coils with the same pitch between turns. The parasitic coil capacitance is higher in the knit due to the vertical legs of the stitches, absent in wound coils. Knits with thin Cu and Litz wires result in flexible and wearable textile coils.
Zhang L, Zhang L, Liu S, et al., 2019, Low-level control technology of micro autonomous underwater vehicle based on intelligent computing, CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, Vol: 22, Pages: S8569-S8580, ISSN: 1386-7857
Zhang L, Zhang L, Papavassiliou C, et al., 2018, Intelligent Computing for Extended Kalman Filtering SOC Algorithm of Lithium-Ion Battery, WIRELESS PERSONAL COMMUNICATIONS, Vol: 102, Pages: 2063-2076, ISSN: 0929-6212
Zhang L, Liu Z, Papavassiliou C, et al., 2018, Formation path control method for group coordination based on fuzzy logic control method, CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, Vol: 21, Pages: 855-868, ISSN: 1386-7857
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