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)

  • 2023An on-demand bioresorbable neurostimulator48citations
  • 2022Stretchable colour-sensitive quantum dot nanocomposites for shape-tunable multiplexed phototransistor arrays85citations

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Choi, Byung-Ok
1 / 1 shared
Kang, Minki
1 / 1 shared
Yoon, Hong-Joon
1 / 2 shared
Nam, Soo Hyun
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Park, Hyun-Moon
1 / 1 shared
Hyun, Inah
1 / 1 shared
Park, Byung-Joon
1 / 1 shared
Lee, Dong-Min
1 / 1 shared
Chang, Hogeun
1 / 2 shared
Lee, Sanghwa
1 / 1 shared
Lee, Mincheol
1 / 1 shared
Kim, Dae-Hyeong
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Sunwoo, Sung-Hyuk
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Baek, Woonhyuk
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Hyeon, Taeghwan
1 / 7 shared
Kim, Junhee
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Song, Jun-Kyul
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Koo, Ja Hoon
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Jung, Hyunjin
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Son, Donghee
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Kang, Kyumin
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Shin, Mikyung
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Yoon, Jiyong
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Yoo, Seungwon
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Yoo, Young Jin
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Jo, Jinwoung
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2022

Co-Authors (by relevance)

  • Choi, Byung-Ok
  • Kang, Minki
  • Yoon, Hong-Joon
  • Nam, Soo Hyun
  • Park, Hyun-Moon
  • Hyun, Inah
  • Park, Byung-Joon
  • Lee, Dong-Min
  • Chang, Hogeun
  • Lee, Sanghwa
  • Lee, Mincheol
  • Kim, Dae-Hyeong
  • Sunwoo, Sung-Hyuk
  • Baek, Woonhyuk
  • Hyeon, Taeghwan
  • Kim, Junhee
  • Song, Jun-Kyul
  • Koo, Ja Hoon
  • Jung, Hyunjin
  • Son, Donghee
  • Kang, Kyumin
  • Shin, Mikyung
  • Yoon, Jiyong
  • Yoo, Seungwon
  • Yoo, Young Jin
  • Jo, Jinwoung
OrganizationsLocationPeople

article

Stretchable colour-sensitive quantum dot nanocomposites for shape-tunable multiplexed phototransistor arrays

  • Chang, Hogeun
  • Lee, Sanghwa
  • Lee, Mincheol
  • Kim, Dae-Hyeong
  • Sunwoo, Sung-Hyuk
  • Baek, Woonhyuk
  • Hyeon, Taeghwan
  • Kim, Junhee
  • Song, Jun-Kyul
  • Koo, Ja Hoon
  • Jung, Hyunjin
  • Son, Donghee
  • Kang, Kyumin
  • Shin, Mikyung
  • Yoon, Jiyong
  • Yoo, Seungwon
  • Kim, Hye Jin
  • Yoo, Young Jin
  • Jo, Jinwoung
Abstract

High-performance photodetecting materials with intrinsic stretchability and colour sensitivity are key requirements for the development of shape-tunable phototransistor arrays. Another challenge is the proper compensation of optical aberrations and noises generated by mechanical deformation and fatigue accumulation in a shape-tunable phototransistor array. Here we report rational material design and device fabrication strategies for an intrinsically stretchable, multispectral and multiplexed 5 x 5 x 3 phototransistor array. Specifically, a unique spatial distribution of size-tuned quantum dots, blended in a semiconducting polymer within an elastomeric matrix, was formed owing to surface energy mismatch, leading to highly efficient charge transfer. Such intrinsically stretchable quantum-dot-based semiconducting nanocomposites enable the shape-tunable and colour-sensitive capabilities of the phototransistor array. We use a deep neural network algorithm for compensating optical aberrations and noises, which aids the precise detection of specific colour patterns (for example, red, green and blue patterns) both under its flat state and hemispherically curved state (radius of curvature of 18.4 mm). Intrinsically stretchable quantum-dot-based semiconducting nanocomposites enable the realization of shape-tunable and colour-sensitive phototransistor arrays.

Topics
  • nanocomposite
  • impedance spectroscopy
  • surface
  • polymer
  • fatigue
  • quantum dot
  • surface energy