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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2012Optoelectronic reservoir computing715citations

Places of action

Chart of shared publication
Schrauwen, Benjamin
1 / 1 shared
Massar, Serge
1 / 2 shared
Smerieri, Antoneo
1 / 1 shared
Paquot, Yvan
1 / 1 shared
Haelterman, Marc
1 / 2 shared
Dambre, Joni
1 / 2 shared
Chart of publication period
2012

Co-Authors (by relevance)

  • Schrauwen, Benjamin
  • Massar, Serge
  • Smerieri, Antoneo
  • Paquot, Yvan
  • Haelterman, Marc
  • Dambre, Joni
OrganizationsLocationPeople

article

Optoelectronic reservoir computing

  • Schrauwen, Benjamin
  • Massar, Serge
  • Smerieri, Antoneo
  • Paquot, Yvan
  • Duport, Francois
  • Haelterman, Marc
  • Dambre, Joni
Abstract

Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a single output layer. Within these constraints manyimplementations are possible. Here we report an optoelectronic implementation of reservoir computing based on a recently proposed architecture consisting of a single non linear node and a delay line. Our implementation is sufficiently fast for real time information processing. We illustrate its performance on tasks of practical importance such as nonlinear channel equalization and speech recognition, and obtain results comparable to state of the art digital implementations.

Topics
  • impedance spectroscopy