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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Universidade de Santiago de Compostela

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2024Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection14citations

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Jing, Yun
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Biswas, Md Abu Sayeed
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2024

Co-Authors (by relevance)

  • Jing, Yun
  • Biswas, Md Abu Sayeed
  • Cheng, Huanyu
  • Niu, Zhenyuan
  • Abdullah, Abu Musa
  • Lorestani, Farnaz
  • Li, Bowen
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article

Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection

  • Tiwari, Naveen
  • Jing, Yun
  • Biswas, Md Abu Sayeed
  • Cheng, Huanyu
  • Niu, Zhenyuan
  • Abdullah, Abu Musa
  • Lorestani, Farnaz
  • Li, Bowen
Abstract

<jats:title>Abstract</jats:title><jats:p>Communication with hand gestures plays a significant role in human‐computer interaction by providing an intuitive and natural way for humans to communicate with machines. Ultrasound‐based devices have shown promising results in contactless hand gesture recognition without requiring physical contact. However, it is challenging to fabricate a densely packed wearable ultrasound array. Here, a stretchable ultrasound array is demonstrated with closely packed transducer elements fabricated using surface charge engineering between pre‐charged 1–3 Lead Zirconate Titanate (PZT) composite and thin polyimide film without using a microscope. The array exhibits excellent ultrasound properties with a wide bandwidth (≈57.1%) and high electromechanical coefficient (≈0.75). The ultrasound array can decipher gestures up to 10 cm in distance by using a contactless triboelectric module and identify materials from the time constant of the exponentially decaying impedance based on their triboelectric properties by utilizing the electrostatic induction phase. The newly proposed metric of the areal‐time constant is material‐specific and decreases monotonically from a highly positive human body (1.13 m<jats:sup>2</jats:sup> s) to negatively charged polydimethylsiloxane (PDMS) (0.02 m<jats:sup>2</jats:sup> s) in the triboelectric series. The capability of the closely packed ultrasound array to detect material along with hand gesture interpretation provides an additional dimension in the next‐generation human‐robot interaction.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • phase
  • composite