Materials Map

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

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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.

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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.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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Technical University of Darmstadt

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Structure-Property-Correlations in HfO₂ based Memristive Devicescitations
  • 2023Operando two-terminal devices inside a transmission electron microscope11citations
  • 2020Tailoring the Switching Dynamics in Yttrium Oxide‐Based RRAM Devices by Oxygen Engineering: From Digital to Multi‐Level Quantization toward Analog Switching29citations

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Chart of shared publication
Van Omme, Johannes Tijn
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Regan, B. C.
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Adabifiroozjaei, Esmaeil
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Jiang, Tianshu
1 / 5 shared
Arzumanov, Alexey
1 / 3 shared
Ruan, Yating
1 / 1 shared
Perez Garza, Hector Hugo
1 / 1 shared
Alff, Lambert
2 / 11 shared
Komissinskiy, Philipp
2 / 9 shared
Pivak, Yevheniy
1 / 2 shared
Hubbard, William A.
1 / 1 shared
Zintler, Alexander
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Recalde-Benitez, Oscar
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Molina-Luna, Leopoldo
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Nolot, Emmanuel
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Charpinnicolle, Christelle
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Miranda, Enrique
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Wenger, Christian
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Jalaguier, Eric
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Radetinac, Aldin
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Kaiser, Nico
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Piros, Eszter
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Vogel, Tobias
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Petzold, Stefan
1 / 2 shared
Chart of publication period
2024
2023
2020

Co-Authors (by relevance)

  • Van Omme, Johannes Tijn
  • Regan, B. C.
  • Adabifiroozjaei, Esmaeil
  • Jiang, Tianshu
  • Arzumanov, Alexey
  • Ruan, Yating
  • Perez Garza, Hector Hugo
  • Alff, Lambert
  • Komissinskiy, Philipp
  • Pivak, Yevheniy
  • Hubbard, William A.
  • Zintler, Alexander
  • Recalde-Benitez, Oscar
  • Molina-Luna, Leopoldo
  • Nolot, Emmanuel
  • Charpinnicolle, Christelle
  • Miranda, Enrique
  • Wenger, Christian
  • Jalaguier, Eric
  • Radetinac, Aldin
  • Kaiser, Nico
  • Piros, Eszter
  • Vogel, Tobias
  • Petzold, Stefan
OrganizationsLocationPeople

article

Tailoring the Switching Dynamics in Yttrium Oxide‐Based RRAM Devices by Oxygen Engineering: From Digital to Multi‐Level Quantization toward Analog Switching

  • Nolot, Emmanuel
  • Charpinnicolle, Christelle
  • Miranda, Enrique
  • Wenger, Christian
  • Jalaguier, Eric
  • Radetinac, Aldin
  • Kaiser, Nico
  • Alff, Lambert
  • Piros, Eszter
  • Komissinskiy, Philipp
  • Vogel, Tobias
  • Zintler, Alexander
  • Petzold, Stefan
  • Winkler, Robert
  • Molina-Luna, Leopoldo
Abstract

<jats:title>Abstract</jats:title><jats:p>This work investigates the transition from digital to gradual or analog resistive switching in yttrium oxide‐based resistive random‐access memory devices. It is shown that this transition is determined by the amount of oxygen in the functional layer. A homogeneous reduction of the oxygen content not only reduces the electroforming voltage, allowing for forming‐free devices, but also decreases the voltage operation window of switching, thereby reducing intra‐device variability. The most important effect as the dielectric becomes substoichiometric by oxygen engineering is that more intermediate (quantized) conduction states are accessible. A key factor for this reproducibly controllable behavior is the reduced local heat dissipation in the filament region due to the increased thermal conductivity of the oxygen depleted layer. The improved accessibility of quantized resistance states results in a semi‐gradual switching both for the set and reset processes, as strongly desired for multi‐bit storage and for an accurate definition of the synaptic weights in neuromorphic systems. A theoretical model based on the physics of mesoscopic structures describing current transport through a nano‐constriction including asymmetric potential drops at the electrodes and non‐linear conductance quantization is provided. The results contribute to a deeper understanding on how to tailor materials properties for novel memristive functionalities.</jats:p>

Topics
  • impedance spectroscopy
  • Oxygen
  • forming
  • Yttrium
  • random
  • thermal conductivity
  • oxygen content
  • yttrium oxide