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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2017Cupula-inspired hyaluronic acid-based hydrogel encapsulation to form biomimetic MEMS flow sensors28citations
  • 2017Flexible liquid crystal polymer-based electrochemical sensor for in-situ detection of zinc(II) in seawater26citations

Places of action

Chart of shared publication
Kottapalli, Ajay Giri Prakash
2 / 21 shared
Miao, Jianmin
2 / 4 shared
Asadnia, Mohsen
1 / 31 shared
Triantafyllou, Michael S.
2 / 4 shared
Bora, Meghali
1 / 1 shared
Wang, Nan
1 / 3 shared
Chart of publication period
2017

Co-Authors (by relevance)

  • Kottapalli, Ajay Giri Prakash
  • Miao, Jianmin
  • Asadnia, Mohsen
  • Triantafyllou, Michael S.
  • Bora, Meghali
  • Wang, Nan
OrganizationsLocationPeople

article

Cupula-inspired hyaluronic acid-based hydrogel encapsulation to form biomimetic MEMS flow sensors

  • Kottapalli, Ajay Giri Prakash
  • Miao, Jianmin
  • Asadnia, Mohsen
  • Triantafyllou, Michael S.
  • Kanhere, Elgar
  • Bora, Meghali
Abstract

<p>Blind cavefishes are known to detect objects through hydrodynamic vision enabled by arrays of biological flow sensors called neuromasts. This work demonstrates the development of a MEMS artificial neuromast sensor that features a 3D polymer hair cell that extends into the ambient flow. The hair cell is monolithically fabricated at the center of a 2 µm thick silicon membrane that is photo-patterned with a full-bridge bias circuit. Ambient flow variations exert a drag force on the hair cell, which causes a displacement of the sensing membrane. This in turn leads to the resistance imbalance in the bridge circuit generating a voltage output. Inspired by the biological neuromast, a biomimetic synthetic hydrogel cupula is incorporated on the hair cell. The morphology, swelling behavior, porosity and mechanical properties of the hyaluronic acid hydrogel are characterized through rheology and nanoindentation techniques. The sensitivity enhancement in the sensor output due to the material and mechanical contributions of the micro-porous hydrogel cupula is investigated through experiments.</p>

Topics
  • porous
  • impedance spectroscopy
  • polymer
  • experiment
  • nanoindentation
  • Silicon
  • porosity