Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Khiat, Ali

  • Google
  • 12
  • 19
  • 130

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2019An electrical characterisation methodology for identifying the switching mechanism in TiO2 memristive stacks7citations
  • 2019A digital in-analogue out logic gate based on metal-oxide memristor devicescitations
  • 2019An electrical characterisation methodology for identifying the switching mechanism in TiO 2 memristive stacks7citations
  • 2018Processing big-data with memristive technologies2citations
  • 2018A comprehensive technology agnostic RRAM characterisation protocolcitations
  • 2018Interface barriers at Metal – TiO2 contactscitations
  • 2017Impact of ultra-thin Al2O3–y layers on TiO2–x ReRAM switching characteristics25citations
  • 2017Impact of ultra-thin Al 2 O 3–y layers on TiO 2–x ReRAM switching characteristics25citations
  • 2016X-ray spectromicroscopy investigation of soft and hard breakdown in RRAM devices12citations
  • 2016An amorphous titanium dioxide metal insulator metal selector device for resistive random access memory crossbar arrays with tunable voltage margin22citations
  • 2016Engineering the switching dynamics of TiOx-based RRAM with Al doping30citations
  • 2016Al-doping engineered electroforming and switching dynamics of TiOx ReRAM devicescitations

Places of action

Chart of shared publication
Prodromakis, Themistoklis
11 / 23 shared
Michalas, Loukas
5 / 5 shared
Stathopoulos, Spyros
4 / 7 shared
Serb, Alexantrou
5 / 5 shared
Papandroulidakis, Georgios
2 / 2 shared
Merrett, Geoff
1 / 2 shared
Prodromakis, Themis
1 / 6 shared
Cortese, Simone
4 / 4 shared
Trapatseli, Maria
4 / 5 shared
Kenyon, Anthony
1 / 1 shared
Serb, Alexander
3 / 3 shared
Buckwell, Mark
1 / 1 shared
Carta, Daniela
4 / 18 shared
Guttmann, Peter
1 / 5 shared
Mehonic, Adnan
1 / 4 shared
Regoutz, Anna
1 / 17 shared
Hudziak, Steven
1 / 1 shared
Gupta, Isha
1 / 1 shared
Light, Me
1 / 23 shared
Chart of publication period
2019
2018
2017
2016

Co-Authors (by relevance)

  • Prodromakis, Themistoklis
  • Michalas, Loukas
  • Stathopoulos, Spyros
  • Serb, Alexantrou
  • Papandroulidakis, Georgios
  • Merrett, Geoff
  • Prodromakis, Themis
  • Cortese, Simone
  • Trapatseli, Maria
  • Kenyon, Anthony
  • Serb, Alexander
  • Buckwell, Mark
  • Carta, Daniela
  • Guttmann, Peter
  • Mehonic, Adnan
  • Regoutz, Anna
  • Hudziak, Steven
  • Gupta, Isha
  • Light, Me
OrganizationsLocationPeople

conferencepaper

A comprehensive technology agnostic RRAM characterisation protocol

  • Serb, Alexantrou
  • Prodromakis, Themistoklis
  • Khiat, Ali
  • Michalas, Loukas
  • Stathopoulos, Spyros
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.

Topics
  • impedance spectroscopy