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

Sanin, A.

  • Google
  • 1
  • 7
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2009DAN instrument for NASA`s MSL mission: fast science data processing and instrument commanding for Mars surface operations and for field testscitations

Places of action

Chart of shared publication
Malakhov, Alexey
1 / 2 shared
Tretyakov, V.
1 / 1 shared
Kozyrev, A.
1 / 3 shared
Mokrousov, M.
1 / 1 shared
Mitrofanov, I.
1 / 1 shared
Litvak, M.
1 / 1 shared
Vostrukhin, A.
1 / 1 shared
Chart of publication period
2009

Co-Authors (by relevance)

  • Malakhov, Alexey
  • Tretyakov, V.
  • Kozyrev, A.
  • Mokrousov, M.
  • Mitrofanov, I.
  • Litvak, M.
  • Vostrukhin, A.
OrganizationsLocationPeople

document

DAN instrument for NASA`s MSL mission: fast science data processing and instrument commanding for Mars surface operations and for field tests

  • Malakhov, Alexey
  • Tretyakov, V.
  • Kozyrev, A.
  • Sanin, A.
  • Mokrousov, M.
  • Mitrofanov, I.
  • Litvak, M.
  • Vostrukhin, A.
Abstract

The Dynamic Albedo of Neutrons (DAN) instrument is contributed by Russian Space Agency to NASA for Mars Science Laboratory mission which was originally scheduled for 2009 and now is shifted to 2011. The design of DAN instrument is partially inherited from HEND instrument for NASA's Mars Odyssey, which now successfully operates providing global mapping of martian neutron albedo, searching the distribution of martian water and observing the martian seasonal cycles. DAN is specially designed as an active neutron instrument for surface operations onboard mobile platforms. It is able to focus science investigations on local surface area around rover with horizontal resolution about 1 meter and vertical penetration about 0.5 m. The primary goal of DAN is the exploration of the hydrogen content of the bulk Martian subsurface material. This data will be used to estimate the content of chemically bound water in the hydrated minerals. The concept of DAN operations is based on combination of neutron activation analysis and neutron well logging tequnique, which are commonly used in the Earth geological applications. DAN consists blocks of Detectors and Electronics (DE) and Pulse Neutron Generator (PNG). The last one is used to irradiate the martian subsurface by pulses of 14MeV neutrons with changeable frequency up to 10 Hz. The first one detects post-pulse afterglow of neutrons, as they were thermalized down to epithermal and thermal energies within the martian subsurface. The result of detections are so called die away curves of neutrons afterglow, which show flux and time profile of thermalized neutrons and bring to us the observational signature of layering structure of martian regolith in part of depth distribution of Hydrogen (most effective element for thermalization of neutrons). In this study we focus on the development, verification and validation of DAN fast data processing and commanding. It is necessary to perform deconvolution from counting statistic in DAN detectors (raw data) to the real science products such as estimated average content of Hydrgen content or its depth distribution along the rover trace. For the rover surface operations it is necessary to provide real time data analysis to combine DAN data with data from all another science instruments and to develop the best observation strategy for the future periods of operation activity. In our approach we use: 1) Onboard FPGA data processing for recording neutron die away curves for epthermal and thermal neutrons of post-pulse afterglow 2) Getting raw data of DAN at the Mission operation center 3) Validation of instrument parameters and operational performance 4) Fast first level science data processing (statistical analysis, background subtraction, normalization) 5) Fast deconvolution of detector counts into the Hydrogen content (including numerical simulation, comparison with the known standard models of regolith), 6) Comparison with known information obtained with another instruments 7) Development of the near-term and long-term strategy for next DAN operations onboard MSL. 8) Generation and testing commanding sequences for the next period of MSL autonomous operations All this activity shall be adjusted in the real time, so the steps 2-8 shall not exceed 2-3 hours. Before launch we plan to validate this approach trough the instrument calibrations, field tests and MSL science group activity. The first experience will be presented of fast data analysis and commanding for the field tests of DAN, which were performed in the testing facility of the Joint Institute of Nuclear Research (Russia). Also, we will discuss our plans of DAN operations for coming field tests in Antarctica....

Topics
  • impedance spectroscopy
  • mineral
  • surface
  • simulation
  • Hydrogen
  • activation
  • neutron activation analysis