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 (9/9 displayed)

  • 2022Visible and near-InfraRed (VNIR) reflectance of silicate glasses: Characterization of a featureless spectrum and implications for planetary geology16citations
  • 2021Mineralogical implications for the 1-micron feature in the refined average spectrum of Cerescitations
  • 2020An orbital water-ice cycle on comet 67P from colour changes28citations
  • 2020A probabilistic approach to determination of Ceres' average surface composition from Dawn VIR and GRaND datacitations
  • 2019NIR and mid-IR spectroscopy on silicate glasses for the characterization of magmatic bodies on terrestrial planets.citations
  • 2018Spectroscopy on silicate glasses from two magmatic series: implications for planetary studies.citations
  • 2017Heavy Metal - Exploring a magnetised metallic asteroidcitations
  • 2017Heavy Metal - Exploring a magnetised metallic asteroidcitations
  • 2017Laboratory experiments on ammoniated clay minerals with relevance for asteroid (1) Cerescitations

Places of action

Chart of shared publication
Perugini, Diego
3 / 4 shared
Behrens, Harald
1 / 13 shared
Pisello, Alessandro
3 / 4 shared
Vetere, Francesco Pasqualino
1 / 1 shared
Porreca, Massimiliano
1 / 3 shared
De Angelis, Simone
4 / 6 shared
Ferrari, Marco
4 / 20 shared
Ciarniello, Mauro
2 / 11 shared
Raponi, Andrea
2 / 4 shared
Rousseau, Batiste
1 / 2 shared
Frigeri, Alessandro
1 / 7 shared
Russell, Christopher T.
1 / 1 shared
Ammannito, Eleonora
2 / 2 shared
Carrozzo, Filippo G.
1 / 1 shared
Castillo-Rogez, Julie C.
1 / 2 shared
Raymond, Carol A.
1 / 1 shared
Filacchione, Gianrico
1 / 20 shared
Mottola, Stefano
1 / 1 shared
Formisano, Michelangelo
1 / 1 shared
Mennella, Vito
1 / 3 shared
Erard, Stèphane
1 / 1 shared
Arnold, Gabriele
1 / 1 shared
Capaccioni, Fabrizio
1 / 8 shared
Bockelèe-Morvan, Dominique
1 / 1 shared
Longobardo, Andrea
1 / 3 shared
Rinaldi, Giovanna
1 / 1 shared
Kurokawa, H.
1 / 1 shared
Ehlmann, B. L.
1 / 2 shared
Usui, T.
1 / 1 shared
Lapôtre, M. G. A.
1 / 1 shared
Prettyman, T. H.
1 / 1 shared
Stein, N. T.
1 / 1 shared
Ciarniello, M.
1 / 5 shared
Raponi, A.
1 / 2 shared
Maturilli, Alessandro
2 / 5 shared
Vetere, Francesco
2 / 10 shared
Pauselli, Cristina
2 / 2 shared
Andrews, David
2 / 3 shared
Futaana, Yoshifumi
2 / 2 shared
Ivchenko, Nickolay
2 / 2 shared
Wahlund, Jan-Erik
2 / 2 shared
Masters, Adam
2 / 3 shared
Trigo-Rodriguez, Joseph
2 / 2 shared
Thomas, Nicolas
2 / 6 shared
Retherford, Kurt
1 / 2 shared
Simon, Sven
2 / 4 shared
Tortora, Paolo
2 / 2 shared
Herique, Alain
2 / 17 shared
Piccioni, Giuseppe
1 / 1 shared
Stefani, Stefania
1 / 3 shared
Chart of publication period
2022
2021
2020
2019
2018
2017

Co-Authors (by relevance)

  • Perugini, Diego
  • Behrens, Harald
  • Pisello, Alessandro
  • Vetere, Francesco Pasqualino
  • Porreca, Massimiliano
  • De Angelis, Simone
  • Ferrari, Marco
  • Ciarniello, Mauro
  • Raponi, Andrea
  • Rousseau, Batiste
  • Frigeri, Alessandro
  • Russell, Christopher T.
  • Ammannito, Eleonora
  • Carrozzo, Filippo G.
  • Castillo-Rogez, Julie C.
  • Raymond, Carol A.
  • Filacchione, Gianrico
  • Mottola, Stefano
  • Formisano, Michelangelo
  • Mennella, Vito
  • Erard, Stèphane
  • Arnold, Gabriele
  • Capaccioni, Fabrizio
  • Bockelèe-Morvan, Dominique
  • Longobardo, Andrea
  • Rinaldi, Giovanna
  • Kurokawa, H.
  • Ehlmann, B. L.
  • Usui, T.
  • Lapôtre, M. G. A.
  • Prettyman, T. H.
  • Stein, N. T.
  • Ciarniello, M.
  • Raponi, A.
  • Maturilli, Alessandro
  • Vetere, Francesco
  • Pauselli, Cristina
  • Andrews, David
  • Futaana, Yoshifumi
  • Ivchenko, Nickolay
  • Wahlund, Jan-Erik
  • Masters, Adam
  • Trigo-Rodriguez, Joseph
  • Thomas, Nicolas
  • Retherford, Kurt
  • Simon, Sven
  • Tortora, Paolo
  • Herique, Alain
  • Piccioni, Giuseppe
  • Stefani, Stefania
OrganizationsLocationPeople

document

A probabilistic approach to determination of Ceres' average surface composition from Dawn VIR and GRaND data

  • Kurokawa, H.
  • Ehlmann, B. L.
  • Usui, T.
  • Lapôtre, M. G. A.
  • Prettyman, T. H.
  • Stein, N. T.
  • Ciarniello, M.
  • Raponi, A.
  • De Sanctis, Maria Cristina
Abstract

The Visible-Infrared Mapping Spectrometer (VIR) on board the Dawn spacecraft revealed that aqueous secondary minerals -- Mg-phyllosilicates, NH4-bearing phases, and Mg/Ca carbonates -- are ubiquitous on Ceres. Ceres' low reflectance requires dark phases, which were assumed to be amorphous carbon and/or magnetite (~80 wt.%). In contrast, the Gamma Ray and Neutron Detector (GRaND) constrained the abundances of C (8-14 wt.%) and Fe (15-17 wt.%). Here, we reconcile the VIR-derived mineral composition with the GRaND-derived elemental composition. First, we model mineral abundances from VIR data, including either meteorite-derived insoluble organic matter, amorphous carbon, magnetite, or combination as the darkening agent and provide statistically rigorous error bars from a Bayesian algorithm combined with a radiative-transfer model. Elemental abundances of C and Fe are much higher than is suggested by the GRaND observations for all models satisfying VIR data. We then show that radiative transfer modeling predicts higher reflectance from a carbonaceous chondrite of known composition than its measured reflectance. Consequently, our second models use multiple carbonaceous chondrite endmembers, allowing for the possibility that their specific textures or minerals other than carbon or magnetite act as darkening agents, including sulfides and tochilinite. Unmixing models with carbonaceous chondrites eliminate the discrepancy in elemental abundances of C and Fe. Ceres' average reflectance spectrum and elemental abundances are best reproduced by carbonaceous-chondrite-like materials (40-70 wt.%), IOM or amorphous carbon (10 wt.%), magnetite (3-8 wt.%), serpentine (10-25 wt.%), carbonates (4-12 wt.%), and NH4-bearing phyllosilicates (1-11 wt.%)....

Topics
  • impedance spectroscopy
  • mineral
  • surface
  • amorphous
  • Carbon
  • phase
  • texture