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

Švec, Jiří

  • Google
  • 2
  • 9
  • 29

Brno University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022The thermal analysis of zinc oxide‑contaminated Portland cement blended with thiocyanates and determination of their effect on hydration and properties2citations
  • 2021Modelling of packing density for particle composites design27citations

Places of action

Chart of shared publication
Novotný, Radoslav
1 / 11 shared
Šiler, Pavel
1 / 2 shared
Koplík, Jan
1 / 6 shared
Soukal, Frantisek
1 / 2 shared
Másilko, Jiří
1 / 10 shared
Matějka, Lukáš
1 / 1 shared
Kratochvíl, Jiří
1 / 1 shared
Bednárek, Jan
1 / 1 shared
Koutný, Ondřej
1 / 2 shared
Chart of publication period
2022
2021

Co-Authors (by relevance)

  • Novotný, Radoslav
  • Šiler, Pavel
  • Koplík, Jan
  • Soukal, Frantisek
  • Másilko, Jiří
  • Matějka, Lukáš
  • Kratochvíl, Jiří
  • Bednárek, Jan
  • Koutný, Ondřej
OrganizationsLocationPeople

article

Modelling of packing density for particle composites design

  • Kratochvíl, Jiří
  • Bednárek, Jan
  • Švec, Jiří
  • Koutný, Ondřej
Abstract

Effective packing of solid particles is one of the main topics in the field of ceramics, powder metallurgy and concrete technology. In these material sectors it is necessary to maximise or optimise the packing density of particles. Therefore, it is necessary to obtain the ability not even to measure the packing density effectively but especially to predict it and affect it with sufficient accuracy. Despite of large experiences in field of metallurgy and ceramics technology, it is still relatively difficult to predict packing density in the concrete technology. Prediction is based on de Larrard linear packing theory expanded by third parameterincluding wedging effect of particles to the form of 3-parameter packing model. In this paper the model is calibrated for fillers using in Particle composites technology with respect to their granulometry, mainly aimed on UHPC technology. Calibration is based on correlation with experimentally determined values of packing density of model particles mixtures. Successful optimization of particular system composition in concrete technology then could lead not even to decrease of final price but it has also a beneficial influence mainly on mechanical properties and durability of final product.

Topics
  • density
  • impedance spectroscopy
  • theory
  • composite
  • ceramic
  • durability