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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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware38citations

Places of action

Chart of shared publication
Almutairi, Abdulaziz
1 / 2 shared
Cubukcu, Murat
1 / 3 shared
Kurebayashi, Hidekazu
1 / 3 shared
Mehonic, Adnan
1 / 4 shared
Lee, Oscar
1 / 1 shared
Kenyon, Anthony J.
1 / 4 shared
Lombardo, Antonio
1 / 3 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Almutairi, Abdulaziz
  • Cubukcu, Murat
  • Kurebayashi, Hidekazu
  • Mehonic, Adnan
  • Lee, Oscar
  • Kenyon, Anthony J.
  • Lombardo, Antonio
OrganizationsLocationPeople

article

Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware

  • Almutairi, Abdulaziz
  • Cubukcu, Murat
  • Kurebayashi, Hidekazu
  • Mehonic, Adnan
  • Lee, Oscar
  • Joksas, Dovydas
  • Kenyon, Anthony J.
  • Lombardo, Antonio
Abstract

<jats:sec><jats:label /><jats:p>In a data‐driven economy, virtually all industries benefit from advances in information technology—powerful computing systems are critically important for rapid technological progress. However, this progress might be at risk of slowing down if the discrepancy between the current computing power demands and what the existing technologies can offer is not addressed. Key limitations to improving energy efficiency are the excessive growth of data transfer costs associated with the von Neumann architecture and the fundamental limits of complementary metal–oxide–semiconductor (CMOS) technologies, such as transistors. Herein, three approaches that will likely play an essential role in future computing systems are discussed: memristive electronics, spintronics, and electronics based on 2D materials. The authors present how these technologies may transform conventional digital computers and contribute to the adoption of new paradigms, like neuromorphic computing.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • semiconductor
  • size-exclusion chromatography