Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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.

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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.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2019Deciphering the Rules for Amino Acid Co-Assembly Based on Interlayer Distances31citations

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Chart of shared publication
Guterman, Tom
1 / 1 shared
Mondal, Sudipta
1 / 2 shared
Jelinek, Raz
1 / 1 shared
Arad, Elad
1 / 1 shared
Gazit, Ehud
1 / 3 shared
Wei, Guanghong
1 / 1 shared
Tang, Yiming
1 / 1 shared
Bera, Santu
1 / 1 shared
Chart of publication period
2019

Co-Authors (by relevance)

  • Guterman, Tom
  • Mondal, Sudipta
  • Jelinek, Raz
  • Arad, Elad
  • Gazit, Ehud
  • Wei, Guanghong
  • Tang, Yiming
  • Bera, Santu
OrganizationsLocationPeople

article

Deciphering the Rules for Amino Acid Co-Assembly Based on Interlayer Distances

  • Guterman, Tom
  • Mondal, Sudipta
  • Jelinek, Raz
  • Jacoby, Guy
  • Arad, Elad
  • Gazit, Ehud
  • Wei, Guanghong
  • Tang, Yiming
  • Bera, Santu
Abstract

<p>Metabolite materials are extremely useful to obtain functional bioinspired assemblies with unique physical properties for various applications in the fields of material science, engineering, and medicine by self-assembly of the simplest biological building blocks. Supramolecular co-assembly has recently emerged as a promising extended approach to further expand the conformational space of metabolite assemblies in terms of structural and functional complexity. Yet, the design of synergistically co-assembled amino acids to produce tailor-made functional architectures is still challenging. Herein, we propose a design rule to predict the supramolecular co-assembly of naturally occurring amino acids based on their interlayer separation distances observed in single crystals. Using diverse experimental techniques, we demonstrate that amino acids with comparable interlayer separation strongly interact and co-assemble to produce structural composites distinctly different from their individual properties. However, such an interaction is hampered in a mixture of differentially layer-separated amino acids, which self-sort to generate individual characteristic structures. This study provides a different paradigm for the modular design of supramolecular assemblies based on amino acids with predictable properties.</p>

Topics
  • impedance spectroscopy
  • single crystal
  • self-assembly
  • structural composite