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

Holm, Alexander

  • Google
  • 4
  • 5
  • 2

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2022Exploring Coupled Martensitic and Order–Disorder Phase Transitions in Fe<sub>7</sub>Pd<sub>3</sub> Shape Memory Alloys Equilibrated Along the Bain Path: An Embedded Atom Method and Ab Initio Based Monte Carlo Study1citations
  • 2022Exploring Coupled Martensitic and Order–Disorder Phase Transitions in Fe7Pd3 Shape Memory Alloys Equilibrated Along the Bain Path: An Embedded Atom Method and Ab Initio Based Monte Carlo Study1citations
  • 2021Compositional Patterning in Carbon Implanted Titania Nanotubescitations
  • 2019Thermal and structural properties of the martensitic transformations in Fe7Pd3 shape memory alloys: An ab initio-based molecular dynamics studycitations

Places of action

Chart of shared publication
Schmalfuß, Jonathan
2 / 2 shared
Mayr, Stefan G.
4 / 11 shared
Mändl, Stephan
1 / 7 shared
Lotnyk, Andriy
1 / 20 shared
Kupferer, Astrid
1 / 2 shared
Chart of publication period
2022
2021
2019

Co-Authors (by relevance)

  • Schmalfuß, Jonathan
  • Mayr, Stefan G.
  • Mändl, Stephan
  • Lotnyk, Andriy
  • Kupferer, Astrid
OrganizationsLocationPeople

article

Exploring Coupled Martensitic and Order–Disorder Phase Transitions in Fe<sub>7</sub>Pd<sub>3</sub> Shape Memory Alloys Equilibrated Along the Bain Path: An Embedded Atom Method and Ab Initio Based Monte Carlo Study

  • Schmalfuß, Jonathan
  • Mayr, Stefan G.
  • Holm, Alexander
Abstract

<jats:title>Abstract</jats:title><jats:p>The ferromagnetic shape memory alloy, Fe<jats:sub>7</jats:sub>Pd<jats:sub>3</jats:sub>, not only offers promising applications, but also reveals a number of unresolved scientific questions, including coupling between a series of martensite and order–disorder transitions, which are in the focus of the present study. To address and understand these aspects, which are of particular importance for controlling phase stability in , an ab initio based Monte Carlo simulation code is developed, whose results demonstrate that equilibrated ordered or disordered phases show distinct dependencies coupled to temperature and lattice structure. Moreover, in equiatomic domains emerging from initially randomized disorder, an intermediate, entropy stabilized phase is identified with significantly higher magnetic anisotropy energy, being advantageous for miniaturized applications. This phase, among other observed configurations, is comprehensively characterized by free energy landscapes and magneto‐structural coupling derived from vibrational analysis of molecular dynamics trajectories and full relativistic spin polarized density functional theory ground state calculations, respectively.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • theory
  • simulation
  • molecular dynamics
  • phase transition
  • density functional theory
  • phase stability
  • disordered phase