Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

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.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Shimizu, Ikkoh

  • Google
  • 6
  • 7
  • 344

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2019Dust scaling relations in a cosmological simulation65citations
  • 2019Dust scaling relations in a cosmological simulationcitations
  • 2018Cosmological simulation with dust formation and destruction91citations
  • 2018Populating H<SUB>2</SUB> and CO in galaxy simulation with dust evolution28citations
  • 2017Evolution of dust extinction curves in galaxy simulation49citations
  • 2017Galaxy simulation with dust formation and destruction111citations

Places of action

Chart of shared publication
Nagamine, Kentaro
6 / 9 shared
Hou, Kuan-Chou
5 / 7 shared
Aoyama, Shohei
6 / 7 shared
Hirashita, Hiroyuki
1 / 5 shared
Chen, Li-Hsin
1 / 1 shared
Choi, Jun-Hwan
1 / 1 shared
Todoroki, Keita
1 / 1 shared
Chart of publication period
2019
2018
2017

Co-Authors (by relevance)

  • Nagamine, Kentaro
  • Hou, Kuan-Chou
  • Aoyama, Shohei
  • Hirashita, Hiroyuki
  • Chen, Li-Hsin
  • Choi, Jun-Hwan
  • Todoroki, Keita
OrganizationsLocationPeople

article

Cosmological simulation with dust formation and destruction

  • Nagamine, Kentaro
  • Hou, Kuan-Chou
  • Shimizu, Ikkoh
  • Aoyama, Shohei
Abstract

To investigate the evolution of dust in a cosmological volume, we perform hydrodynamic simulations, in which the enrichment of metals and dust is treated self-consistently with star formation and stellar feedback. We consider dust evolution driven by dust production in stellar ejecta, dust destruction by sputtering, grain growth by accretion and coagulation, and grain disruption by shattering, and treat small and large grains separately to trace the grain size distribution. After confirming that our model nicely reproduces the observed relation between dust-to-gas ratio and metallicity for nearby galaxies, we concentrate on the dust abundance over the cosmological volume in this paper. The comoving dust mass density has a peak at redshift z ∼ 1-2, coincident with the observationally suggested dustiest epoch in the Universe. In the local Universe, roughly 10 per cent of the dust is contained in the intergalactic medium (IGM), where only 1/3-1/4 of the dust survives against dust destruction by sputtering. We also show that the dust mass function is roughly reproduced at ≲ 10<SUP>8</SUP> M<SUB>☉</SUB>, while the massive end still has a discrepancy, which indicates the necessity of stronger feedback in massive galaxies. In addition, our model broadly reproduces the observed radial profile of dust surface density in the circum-galactic medium (CGM). While our model satisfies the observational constraints for the dust extinction on cosmological scales, it predicts that the dust in the CGM and IGM is dominated by large (&gt;0.03 μm) grains, which is in tension with the steep reddening curves observed in the CGM....

Topics
  • density
  • impedance spectroscopy
  • surface
  • grain
  • grain size
  • simulation
  • grain growth