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

693.932 People

Show results for 693.932 people that are selected by your search filters.

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PeopleLocationsStatistics
Naji, M.
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Narita, Fumio

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2022Electromechanical characterization and kinetic energy harvesting of piezoelectric nanocomposites reinforced with glass fibers25citations
  • 2022Inverse magnetostrictive properties of twisted Fe–Co alloy wirecitations
  • 2022Additive manufacturing and energy-harvesting performance of honeycomb-structured magnetostrictive Fe 52 -Co 48 alloys26citations
  • 2022Application of deep neural network learning in composites design29citations
  • 2021Tensile Properties of Mechanically-Defibrated Cellulose Nanofiber-Reinforced Polylactic Acid Matrix Composites Fabricated by Fused Deposition Modelingcitations
  • 2021Tensile Properties of Mechanically-Defibrated Cellulose Nanofiber-Reinforced Polylactic Acid Matrix Composites Fabricated by Fused Deposition Modelingcitations

Places of action

Chart of shared publication
Jia, Yu
1 / 4 shared
Mori, Kotaro
1 / 1 shared
Kawakami, Yoshihiro
1 / 1 shared
Maruyama, Kohei
1 / 1 shared
Kurita, Hiroki
4 / 13 shared
Shi, Yu
1 / 6 shared
Wang, Zhenjin
1 / 1 shared
Laheurte, Pascal
1 / 42 shared
Lohmuller, Paul
1 / 8 shared
Nakajima, Kenya
1 / 1 shared
Ando, Daisuke
1 / 5 shared
Soutis, Costas
1 / 356 shared
Wang, Yinli
1 / 2 shared
Sutou, Yuji
1 / 5 shared
Bernard, Chrystelle
1 / 3 shared
Lavrovsky, Agathe
2 / 2 shared
Chart of publication period
2022
2021

Co-Authors (by relevance)

  • Jia, Yu
  • Mori, Kotaro
  • Kawakami, Yoshihiro
  • Maruyama, Kohei
  • Kurita, Hiroki
  • Shi, Yu
  • Wang, Zhenjin
  • Laheurte, Pascal
  • Lohmuller, Paul
  • Nakajima, Kenya
  • Ando, Daisuke
  • Soutis, Costas
  • Wang, Yinli
  • Sutou, Yuji
  • Bernard, Chrystelle
  • Lavrovsky, Agathe
OrganizationsLocationPeople

article

Application of deep neural network learning in composites design

  • Ando, Daisuke
  • Soutis, Costas
  • Narita, Fumio
  • Wang, Yinli
  • Sutou, Yuji
Topics
  • composite