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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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

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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

article

Dust grain size evolution in local galaxies: a comparison between observations and simulations

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

The evolution of the dust grain size distribution has been studied in recent years with great detail in cosmological hydrodynamical simulations taking into account all the channels under which dust evolves in the interstellar medium. We present a systematic analysis of the observed spectral energy distribution of a large sample of galaxies in the local universe in order to derive not only the total dust masses but also the relative mass fraction between small and large dust grains (DS/DL). Simulations reproduce fairly well the observations except for the high stellar mass regime where dust masses tend to be overestimated. We find that ∼45 per cent of galaxies exhibit DS/DL consistent with the expectations of simulations, while there is a sub-sample of massive galaxies presenting high DS/DL (log (DS/DL) ∼ −0.5), and deviating from the prediction in simulations. For these galaxies, which also have high molecular gas mass fractions and metallicities, coagulation is not an important mechanism affecting the dust evolution. Including diffusion, transporting large grains from dense regions to a more diffuse medium where they can be easily shattered, would explain the observed high DS/DL values in these galaxies. With this study we reinforce the use of the small-to-large grain mass ratio to study the relative importance of the different mechanisms in the dust life cycle. Multi-phase hydrodynamical simulations with detailed feedback prescriptions and more realistic subgrid models for the dense phase could help to reproduce the evolution of the dust grain size distribution traced by observations.

Topics
  • impedance spectroscopy
  • grain
  • grain size
  • phase
  • simulation