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
693.932 People People

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

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PeopleLocationsStatistics
Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2022Dust grain size evolution in local galaxies: a comparison between observations and simulations10citations
  • 2022Dust grain size evolution in local galaxies : a comparison between observations and simulations10citations
  • 2020JINGLE - IV. Dust, HI gas and metal scaling laws in the local Universe52citations
  • 2020JINGLE -- IV. Dust, HI gas and metal scaling laws in the local Universecitations
  • 2020JINGLE – IV. Dust, H I gas, and metal scaling laws in the local universe52citations

Places of action

Chart of shared publication
Relaño, M.
3 / 5 shared
Sargent, M.
5 / 5 shared
Chastenet, J.
2 / 2 shared
Lisenfeld, U.
2 / 3 shared
Hirashita, H.
2 / 5 shared
Smith, M. W. L.
3 / 6 shared
Aoyama, S.
2 / 4 shared
Nagamine, K.
2 / 5 shared
De Looze, I.
2 / 13 shared
Hou, K. -C.
1 / 2 shared
Gao, Y.
5 / 13 shared
Saintonge, A.
5 / 5 shared
Romano, L. E. C.
2 / 2 shared
Xiao, T.
5 / 12 shared
De Looze, Ilse
1 / 10 shared
Hou, K-C
1 / 1 shared
Chart of publication period
2022
2020

Co-Authors (by relevance)

  • Relaño, M.
  • Sargent, M.
  • Chastenet, J.
  • Lisenfeld, U.
  • Hirashita, H.
  • Smith, M. W. L.
  • Aoyama, S.
  • Nagamine, K.
  • De Looze, I.
  • Hou, K. -C.
  • Gao, Y.
  • Saintonge, A.
  • Romano, L. E. C.
  • Xiao, T.
  • De Looze, Ilse
  • Hou, K-C
OrganizationsLocationPeople

document

JINGLE - IV. Dust, HI gas and metal scaling laws in the local Universe

  • Lin, L.
  • Zhu, M.
  • Kennicutt, R. C.
  • Ho, L. C.
  • Li, C.
  • Sargent, M.
  • Jones, A. P.
  • Gear, W. K.
  • Michalowski, M. J.
  • Pan, H. -A.
  • Lamperti, I.
  • Williams, T.
  • Accurso, G.
  • Hwang, H. S.
  • Relano, M.
  • Gao, Y.
  • Liu, T.
  • Cigan, P.
  • Brinks, Elias
  • Decleir, M.
  • Clark, C. J. R.
  • Lee, J. C.
  • Smith, M. W. L.
  • Fanciullo, L.
  • Vis, P. De
  • Bureau, M.
  • Wilson, C. D.
  • Lomaeva, M.
  • Saintonge, A.
  • Xiao, T.
  • Clements, D. L.
  • Looze, I. De
Abstract

This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2020 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved. ; Scaling laws of dust, H i gas and metal mass with stellar mass, specific star formation rate and metallicity are crucial to our understanding of the buildup of galaxies through their enrichment with metals and dust. In this work, we analyse how the dust and metal content varies with specific gas mass (MHI/M⋆) across a diverse sample of 423 nearby galaxies. The observed trends are interpreted with a set of Dust and Element evolUtion modelS (DEUS) – including stellar dust production, grain growth, and dust destruction – within a Bayesian framework to enable a rigorous search of the multi-dimensional parameter space. We find that these scaling laws for galaxies with −1.0 ≲ log MHI/M⋆ ≲ 0 can be reproduced using closed-box models with high fractions (37-89%) of supernova dust surviving a reverse shock, relatively low grain growth efficiencies (ε=30-40), and long dust lifetimes (1-2 Gyr). The models have present-day dust masses with similar contributions from stellar sources (50-80%) and grain growth (20-50%). Over the entire lifetime of these galaxies, the contribution from stardust (>90 %) outweighs the fraction of dust grown in the interstellar medium (<10 %). Our results provide an alternative for the chemical evolution models that require extremely low supernova dust production efficiencies and short grain growth timescales to reproduce local scaling laws, and could help solving the conundrum on whether or not grains can grow efficiently in the interstellar medium. ; Peer reviewed

Topics
  • grain
  • grain growth