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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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024Glassy Synaptic Time Dynamics in Molecular La0.7Sr0.3MnO/Gaq3/AlOx/Co Spintronic Crossbar Devices3citations
  • 2018Oxygen impurities link bistability and magnetoresistance in organic spin valves25citations
  • 2008Spin polarised electrodes and interfaces in organic spintronic devicescitations
  • 2008Direct deposition of magnetite thin films on organic semiconductors12citations
  • 2008Magnetoresistance and energy model of Alq3-based spintronic devicescitations

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Graziosi, Patrizio
3 / 10 shared
Cecchini, Raimondo
2 / 9 shared
Rakshit, Rajib
1 / 2 shared
Shumilin, Andrei
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Prezioso, Mirko
1 / 1 shared
Singh, Manju
1 / 3 shared
Gnoli, Luca
1 / 1 shared
Dediu, Valentin
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Neha, Prakriti
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Calbucci, Marco
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Maclaren, Donald A.
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Solzi, Massimo
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Ghidini, Massimo
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Cavallini, Massimiliano
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Pernechele, C.
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Ruani, Giampiero
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Arisi, Emilia
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De Jong, M. P.
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Taliani, Carlo
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2018
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Co-Authors (by relevance)

  • Graziosi, Patrizio
  • Cecchini, Raimondo
  • Rakshit, Rajib
  • Shumilin, Andrei
  • Prezioso, Mirko
  • Singh, Manju
  • Gnoli, Luca
  • Dediu, Valentin
  • Neha, Prakriti
  • Calbucci, Marco
  • Maclaren, Donald A.
  • Rueff, Jean Pascal
  • Borgatti, Francesco
  • Giglia, Angelo
  • Pasquali, Luca
  • Céolin, Denis
  • Riminucci, Alberto
  • Zhan, Y.
  • Casoli, Francesca
  • Hueso, Luis H.
  • Pernechele, Chiara
  • Solzi, Massimo
  • Ghidini, Massimo
  • Cavallini, Massimiliano
  • Pernechele, C.
  • Ruani, Giampiero
  • Arisi, Emilia
  • De Jong, M. P.
  • Hueso, Luis E.
  • Taliani, Carlo
OrganizationsLocationPeople

article

Glassy Synaptic Time Dynamics in Molecular La0.7Sr0.3MnO/Gaq3/AlOx/Co Spintronic Crossbar Devices

  • Graziosi, Patrizio
  • Cecchini, Raimondo
  • Bergenti, Ilaria
  • Rakshit, Rajib
  • Shumilin, Andrei
  • Prezioso, Mirko
  • Singh, Manju
  • Gnoli, Luca
  • Dediu, Valentin
  • Neha, Prakriti
Abstract

The development of neuromorphic devices is a pivotal step in the pursuit of low‐power artificial intelligence. A synaptic analog is one of the building blocks of this vision. The synaptic behavior of molecular La0.7/Sr0.3/MnO3/tris(8‐hydroxyquinolinato)gallium/AlOx/Co spintronic devices is studied, where the conductance plays the role of the synaptic weight. These devices are arranged in a crossbar configuration, the most effective architecture for the purpose. The conductance of each cross point is controlled separately by the application of voltage pulses: when set in the high conductance potentiated state, the devices show a spin‐valve magnetoresistance, while in the low conductance depressed state, no magnetoresistance is observed. The time dependence of the resistive switching behavior is an important parameter of the synaptic behavior and is very revealing of the underlying physical mechanisms. To study the time dynamics of the resistive switching after the voltage pulses, the response of the device to trains of potentiation and depression pulses, and the time‐resolved conductivity relaxation after the pulses are measured. The results are described with the conductivity model based on impurity energy levels in the organic semiconductor's gap. A flat distribution of the activation energies necessary to move these impurities is hypothesized, which can explain the observed glassy behavior.

Topics
  • impedance spectroscopy
  • semiconductor
  • activation
  • Gallium