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

Lee, Sangmin

  • Google
  • 3
  • 23
  • 31

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023De novo design of modular protein hydrogels with programmable intra- and extracellular viscoelasticity1citations
  • 2022Ultrasoft and Ultrastretchable Wearable Strain Sensors with Anisotropic Conductivity Enabled by Liquid Metal Fillers11citations
  • 2020Effects of the Heterointerface on the Growth Characteristics of a Brownmillerite SrFeO2.5 Thin Film Grown on SrRuO3 and SrTiO3 Perovskites19citations

Places of action

Chart of shared publication
Bretherton, Ross
1 / 1 shared
Baker, David
1 / 1 shared
Hsia, Yang
1 / 1 shared
Decarreau, Justin
1 / 1 shared
Sharma, Alee
1 / 1 shared
Sahtoe, Danny
1 / 2 shared
Ueda, George
1 / 1 shared
Mout, Rubul
1 / 1 shared
Schulman, Rebecca
1 / 1 shared
Sin, Dongho
1 / 1 shared
Bhuyan, Priyanuj
1 / 2 shared
Jeon, Hongchan
1 / 2 shared
Choe, Minjae
1 / 1 shared
Han, Seungwu
1 / 4 shared
Jung, Chang Uk
1 / 3 shared
Nallagatlla, Venkata Raveendra
1 / 1 shared
Jo, Janghyun
1 / 3 shared
Acharya, Susant Kumar
1 / 2 shared
Baik, Hionsuck
1 / 4 shared
Yoon, Sangmoon
1 / 1 shared
Kang, Youngho
1 / 1 shared
Kim, Yoonkoo
1 / 1 shared
Kim, Miyoung
1 / 3 shared
Chart of publication period
2023
2022
2020

Co-Authors (by relevance)

  • Bretherton, Ross
  • Baker, David
  • Hsia, Yang
  • Decarreau, Justin
  • Sharma, Alee
  • Sahtoe, Danny
  • Ueda, George
  • Mout, Rubul
  • Schulman, Rebecca
  • Sin, Dongho
  • Bhuyan, Priyanuj
  • Jeon, Hongchan
  • Choe, Minjae
  • Han, Seungwu
  • Jung, Chang Uk
  • Nallagatlla, Venkata Raveendra
  • Jo, Janghyun
  • Acharya, Susant Kumar
  • Baik, Hionsuck
  • Yoon, Sangmoon
  • Kang, Youngho
  • Kim, Yoonkoo
  • Kim, Miyoung
OrganizationsLocationPeople

document

De novo design of modular protein hydrogels with programmable intra- and extracellular viscoelasticity

  • Bretherton, Ross
  • Baker, David
  • Hsia, Yang
  • Decarreau, Justin
  • Sharma, Alee
  • Sahtoe, Danny
  • Lee, Sangmin
  • Ueda, George
  • Mout, Rubul
  • Schulman, Rebecca
Abstract

<jats:title>Abstract</jats:title><jats:p>Relating the macroscopic properties of protein-based materials to their underlying component microstructure is an outstanding challenge. Here, we exploit computational design to specify the size, flexibility, and valency of<jats:italic>de novo</jats:italic>protein building blocks, as well as the interaction dynamics between them, to investigate how molecular parameters govern the macroscopic viscoelasticity of the resultant protein hydrogels. We construct gel systems from pairs of symmetric protein homo-oligomers, each comprising 2, 5, 24, or 120 individual protein components, that are crosslinked either physically or covalently into idealized step-growth biopolymer networks. Through rheological assessment and molecular dynamics (MD) simulation, we find that the covalent linkage of multifunctional precursors yields hydrogels whose viscoelasticity depends on the crosslink length between the constituent building blocks. In contrast, reversibly crosslinking the homo-oligomeric components with a computationally designed heterodimer results in non-Newtonian biomaterials exhibiting fluid-like properties under rest and low shear, but shear-stiffening solid-like behavior at higher frequencies. Exploiting the unique genetic encodability of these materials, we demonstrate the assembly of protein networks within living mammalian cells and show<jats:italic>via</jats:italic>fluorescence recovery after photobleaching (FRAP) that mechanical properties can be tuned intracellularly, in correlation with matching formulations formed extracellularly. We anticipate that the ability to modularly construct and systematically program the viscoelastic properties of designer protein-based materials could have broad utility in biomedicine, with applications in tissue engineering, therapeutic delivery, and synthetic biology.</jats:p><jats:sec><jats:title>Significance</jats:title><jats:p>Protein-based hydrogels have many applications in cellular engineering and medicine. Most genetically encodable protein hydrogels are made from naturally harvested proteins or protein-polymer hybrid constructs. Here we describe<jats:italic>de novo</jats:italic>protein hydrogels and systematically investigate the impact of microscopic properties of the building blocks (e.g., supramolecular interaction, valencies, geometries, flexibility) on the resultant macroscopic gel mechanics, both intra-and extracellularly. These<jats:italic>de novo</jats:italic>supramolecular protein assemblies, whose properties can be tuned from solid gels to non-Newtonian fluids, provide expanded opportunities for applications in synthetic biology and medicine.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • microstructure
  • polymer
  • simulation
  • molecular dynamics
  • viscoelasticity
  • size-exclusion chromatography
  • biomaterials