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

Kwon, Hyunchul

  • Google
  • 4
  • 7
  • 3

ETH Zurich

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Design and multiphysical modeling of SMA-driven bi-stable structures with efficient energy consumption3citations
  • 20233D Printing and Shape Memory Alloyscitations
  • 2020Large-scale 3D printing for functionally-graded facadecitations
  • 2019Optimized internal structures for 3D-printed sandwich elementscitations

Places of action

Chart of shared publication
Shahverdi, Moslem
2 / 43 shared
Soni, Priyank
2 / 2 shared
Saeedi, Ali
2 / 8 shared
Dillenburger, Benjamin
4 / 8 shared
Eftekhar, Nik
1 / 1 shared
Taseva, Yoana
1 / 1 shared
Leschok, Matthias
1 / 1 shared
Chart of publication period
2024
2023
2020
2019

Co-Authors (by relevance)

  • Shahverdi, Moslem
  • Soni, Priyank
  • Saeedi, Ali
  • Dillenburger, Benjamin
  • Eftekhar, Nik
  • Taseva, Yoana
  • Leschok, Matthias
OrganizationsLocationPeople

document

3D Printing and Shape Memory Alloys

  • Kwon, Hyunchul
  • Shahverdi, Moslem
  • Soni, Priyank
  • Saeedi, Ali
  • Dillenburger, Benjamin
Abstract

<p>This paper presents a novel method combining the use of 3D printing (3DP) and shape memory alloys (SMAs) to compose kinetic architectural elements that are energy- and material-efficient within compact-integrated composites. Kinetic systems for architectural use have been explored since the late twentieth century using motor mechanics. However, the primary challenges of this method include maintenance of mechanical units, their high energy demand, and noise during actuation. To address these shortcomings, this research explores a hybrid of 3DP motion-optimized parts with embedded SMAs as a muscle that changes shape with temperature stimulus. This combination leverages 3DP to geometrically control shape-morphing behavior for material-efficient, compact-integrated parts, and SMA to allow for low maintenance and soundless actuation. However, current SMA applications permanently require energy to stabilize one geometric state. To reduce required energy to a minimum, we present a novel method that combines embedded SMA with 3DP bi-stable mechanism. This approach only requires energy for switching between states, dramatically reducing energy consumption. This could be the key to efficient architectural applications. As part of the evaluation, factors such as controllability of shape morphing behavior, repeatability, materials, and energy efficiency are investigated. An experimental program is developed with different SMA-embedded, 3D-printed specimens. The program then explores a possible approach to scaling up with two prototypes. The presented synthesis of smart materials with additive manufacturing of bi-stable geometries could contribute to the field of composites in kinetic architecture by reducing the operational energy, thus opening a path towards more sustainable real-world applications.</p>

Topics
  • impedance spectroscopy
  • composite
  • additive manufacturing