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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Naji, M.
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Mitchell, Daniel

  • Google
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MRC Cognition and Brain Sciences Unit

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (24/24 displayed)

  • 2021A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials82citations
  • 2020The Functional Convergence and Heterogeneity of Social, Episodic, and Self-Referential Thought in the Default Mode Network77citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.22.0citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.3citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.22.2citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.1citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.0citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.2citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.19.6citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.1citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.0citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.3citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.21.0citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.2citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.2citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.0citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.2citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.0citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.5citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.3citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.17.0citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.1citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.3citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.4citations

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Chart of shared publication
Bucknall, David
1 / 4 shared
Blanche, Jamie
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Harper, Sam
1 / 1 shared
Baines, Lee
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Tang, Wenshuo
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Flynn, David
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Gupta, Ranjeetkumar
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Pancholi, Ketan
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Bastholm, Eric
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Ord, Stephen
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Lenc, Emil
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Van Diepen, Ger
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Whiting, Matthew
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Khoo, Jonathan
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Collins, Daniel
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Wu, Xinyu
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Marquarding, Malte
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Bannister, Keith
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Lahur, Paulus
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Maher, Tony
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Voronkov, Max
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Guzman, Juan
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Chart of publication period
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Co-Authors (by relevance)

  • Bucknall, David
  • Blanche, Jamie
  • Harper, Sam
  • Baines, Lee
  • Tang, Wenshuo
  • Flynn, David
  • Gupta, Ranjeetkumar
  • Pancholi, Ketan
  • Bastholm, Eric
  • Ord, Stephen
  • Lenc, Emil
  • Van Diepen, Ger
  • Whiting, Matthew
  • Khoo, Jonathan
  • Collins, Daniel
  • Wu, Xinyu
  • Marquarding, Malte
  • Bannister, Keith
  • Lahur, Paulus
  • Maher, Tony
  • Voronkov, Max
  • Guzman, Juan
OrganizationsLocationPeople

article

The Functional Convergence and Heterogeneity of Social, Episodic, and Self-Referential Thought in the Default Mode Network

  • Mitchell, Daniel
Abstract

<jats:title>Abstract</jats:title><jats:p>The default mode network (DMN) is engaged in a variety of cognitive settings, including social, semantic, temporal, spatial, and self-related tasks. Andrews-Hanna et al. (2010; Andrews-Hanna 2012) proposed that the DMN consists of three distinct functional–anatomical subsystems—a dorsal medial prefrontal cortex (dMPFC) subsystem that supports social cognition; a medial temporal lobe (MTL) subsystem that contributes to memory-based scene construction; and a set of midline core hubs that are especially involved in processing self-referential information. We examined activity in the DMN subsystems during six different tasks: 1) theory of mind, 2) moral dilemmas, 3) autobiographical memory, 4) spatial navigation, 5) self/other adjective judgment, and 6) a rest condition. At a broad level, we observed similar whole-brain activity maps for the six contrasts, and some response to every contrast in each of the three subsystems. In more detail, both univariate analysis and multivariate activity patterns showed partial functional separation, especially between dMPFC and MTL subsystems, though with less support for common activity across the midline core. Integrating social, spatial, self-related, and other aspects of a cognitive situation or episode, multiple components of the DMN may work closely together to provide the broad context for current mental activity.</jats:p>

Topics
  • impedance spectroscopy
  • theory
  • laser emission spectroscopy