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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Polypropylene for material extrusion: Evidence that flow-enhanced crystallization restricts welding6citations
  • 2024Polypropylene for material extrusion:Evidence that flow-enhanced crystallization restricts welding6citations
  • 2023Inter-layer adhesion in material extrusion 3D printing: effect of processing and molecular variablescitations
  • 2022Effect of time-delayed interactions on milling2citations
  • 2022The Role of Molar Mass in Achieving Isotropy and Inter-Layer Strength in Mat-Ex Printed Polylactic Acid5citations
  • 2020Residual alignment and its effect on weld strength in material-extrusion 3D-printing of polylactic acid64citations
  • 2020Fused Deposition Modeling of Polyamides: Crystallization and Weld Formation19citations

Places of action

Chart of shared publication
Lanfranchi, Andrea
2 / 2 shared
Mcilroy, Claire
3 / 3 shared
Vezzoli, Riccardo
2 / 2 shared
Cavallo, Dario
4 / 44 shared
Baouch, Zakarya
2 / 2 shared
Koster, Jessy
2 / 2 shared
Eric Haeringen, Van
1 / 1 shared
Hemelrijk, Charlotte
1 / 1 shared
Poggi, Alice
1 / 1 shared
Puskar, Ljiljana
1 / 5 shared
Mcllroy, Claire
1 / 1 shared
Venkatraman, Deepak
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Looijmans, Stan F. S. P.
1 / 16 shared
Sawyer, Dan
1 / 1 shared
Graham, Richard S.
1 / 2 shared
Mller, Alejandro J.
1 / 1 shared
Candal, Mara Virginia
1 / 1 shared
Spotorno, Roberto
1 / 10 shared
Fernndez, Mara Mercedes
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Lanfranchi, Andrea
  • Mcilroy, Claire
  • Vezzoli, Riccardo
  • Cavallo, Dario
  • Baouch, Zakarya
  • Koster, Jessy
  • Eric Haeringen, Van
  • Hemelrijk, Charlotte
  • Poggi, Alice
  • Puskar, Ljiljana
  • Mcllroy, Claire
  • Venkatraman, Deepak
  • Looijmans, Stan F. S. P.
  • Sawyer, Dan
  • Graham, Richard S.
  • Mller, Alejandro J.
  • Candal, Mara Virginia
  • Spotorno, Roberto
  • Fernndez, Mara Mercedes
OrganizationsLocationPeople

article

Effect of time-delayed interactions on milling

  • Costanzo, Andrea
  • Eric Haeringen, Van
  • Hemelrijk, Charlotte
Abstract

Models of collective motion show a rich variety of patterns. One of these is milling, in which the individuals of a group are circling around a common center. Milling has been generated in a Vicsek-like model of collective motion, i.e., a minimal model where individuals coordinate their headings only via alignment with close neighbors, without being attracted to each other and without avoidingcollisions. However, in this Vicsek-like model information propagates instantaneously among neighbors, whereas in nature transfer and processing of information need time. How this delay affects patterns of collective motion, particularly milling, is unknown. Here we investigate the effect of time-delayed interactions on the emergence of milling in a Vicsek-like model. We show that delays may either destroy milling or induce it, depending on the parameters of the system. The range of speeds and fields of view of individuals at which milling occurs is shifted to smaller values if there are time delays in the model. Our findings may help to understand what causes milling in nature.

Topics
  • impedance spectroscopy
  • grinding
  • milling