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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Prodromakis, Themistoklis
University of Edinburgh
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (23/23 displayed)
- 2024Solid polymer electrolytes with enhanced electrochemical stability for high-capacity aluminum batteriescitations
- 2024Forming-free and non-linear resistive switching in bilayer HfOx/TaOx memory devices by interface-induced internal resistancecitations
- 2024Forming-free and non-linear resistive switching in bilayer HfO x /TaO x memory devices by interface-induced internal resistancecitations
- 2022Low-power supralinear photocurrent generation via excited state fusion in single-component nanostructured organic photodetectorscitations
- 2022Nanocellulose-based flexible electrodes for safe and sustainable energy storage
- 2020Poly(N-isopropylacrylamide) based thin microgel films for use in cell culture applicationscitations
- 2019An electrical characterisation methodology for identifying the switching mechanism in TiO2 memristive stackscitations
- 2019A digital in-analogue out logic gate based on metal-oxide memristor devices
- 2018Processing big-data with memristive technologiescitations
- 2018A comprehensive technology agnostic RRAM characterisation protocol
- 2018Interface barriers at Metal – TiO2 contacts
- 2018Electrothermal deterioration factors in gold planar inductors designed for microscale bio-applicationscitations
- 2017Impact of ultra-thin Al2O3–y layers on TiO2–x ReRAM switching characteristicscitations
- 2017Impact of ultra-thin Al 2 O 3–y layers on TiO 2–x ReRAM switching characteristicscitations
- 2016Spatially resolved TiOx phases in switched RRAM devices using soft X-ray spectromicroscopycitations
- 2016X-ray spectromicroscopy investigation of soft and hard breakdown in RRAM devicescitations
- 2016An amorphous titanium dioxide metal insulator metal selector device for resistive random access memory crossbar arrays with tunable voltage margincitations
- 2016Engineering the switching dynamics of TiOx-based RRAM with Al dopingcitations
- 2016Al-doping engineered electroforming and switching dynamics of TiOx ReRAM devices
- 2016Role and optimization of the active oxide layer in TiO2-based RRAMcitations
- 2016Engineering PDMS topography on microgrooved Parylene C
- 2009Engineering the Maxwell-Wagner polarization effectcitations
- 2009Application of gold nanodots for Maxwell-Wagner loss reduction
Places of action
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conferencepaper
A comprehensive technology agnostic RRAM characterisation protocol
Abstract
Resistive switching memories, also known as memristors, have exhibited an immense potential for a wide array of applications, ranging from non-volatile memories to neuromorphic computing and reconfigurable circuits. As the scope of these applications expands there is an increasing need for a comprehensive characterisation methodology.<br/><br/>Towards that goal we present a characterisation routine that covers a broad range of device aspects. Our testing routine employs our in-house developed memristor characterisation tool. The proposed workflow starts with a pre-electroforming I–V in order to deduce the dominant transport mechanisms. This is followed by the electroforming process which can be carried out using either current-compliant I–V curves or pulsed voltage ramps for a compliance-free approach. After establishing a base resistance we reevaluate the transport mechanism since both the core material and the interfaces have been altered with respect to their pristine state.<br/><br/>Switching performance of the device is benchmarked with endurance and retention testing either in room or elevated temperatures to extrapolate the lifetime of the memory window. We then proceed to evaluate the switching dynamics of the devices by applying a biasing scheme optimiser. This allows us to determine the switching behaviour under external bias, as well as the switching polarity and operating range of the device. After these parameteres have been established we evaluate the maximum number of operationally relevant states using a bespoke routine. Finally, an analytical model8 of the response of the device can be readily extracted.