Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing Article Swipe
Tingyu Long
,
Huanyu Zhou
,
Jaewan Ko
,
Hongwei Tan
,
Jaemin Lim
,
Yanfei Zhao
,
Daewoong Kang
,
E. Yoon
,
Gyeong‐Tak Go
,
Somin Kim
,
Seung‐Woo Lee
,
Chan‐Yul Park
,
Hyojun Choi
,
Hyeran Kim
,
Hyung Joong Yun
,
Sung Hyuk Park
,
Kwan Sik Park
,
Jeong Woo Park
,
Minjae Kim
,
Yong Soo Cho
,
Ho Won Jang
,
Wenqiang Yang
,
Min Hyuk Park
,
Wan Ki Bae
,
Lukáš Flajšman
,
Joona Bang
,
Tae‐Woo Lee
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/adma.202504117
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/adma.202504117
Quantum dots (QDs) offer significant potential for neuromorphic machine vision, owing to their high absorption coefficients, and to absorption that spans the ultraviolet‐to‐visible range. However, their practical application faces critical challenges in achieving accurate target recognition and tracking in low‐light and dynamically‐changing environments. A fundamental limitation is a result of the exciton‐confinement effect of QDs, which impedes efficient exciton dissociation. To overcome this problem, we synthesized ferroelectric QDs (FE‐QDs) that are functionalized with thiol‐terminated polyvinylidene fluoride (PVDF‐SH) ligands, and empolyed them as the photo‐sensitive floating gate in an organic synaptic transistor. When a polarization voltage is applied to the organic synaptic transistors, the FE‐QD film generates an electric field that counteracts exciton confinement. The process substantially facilitates exciton dissociation in QDs, and regulates charge accumulation in the channel layer. Integrated with machine learning algorithms, the QD‐based device achieved 100% accuracy in detecting simulated car motion in low‐light environments, highlighting the potential of adaptive, dynamic sensing technologies for applications in night vision, autonomous driving, and intelligent transportation systems.
Related Topics
Concepts
Materials science
Ferroelectricity
Quantum dot
Nanotechnology
Quantum sensor
Optoelectronics
Quantum computer
Engineering physics
Quantum
Quantum network
Quantum mechanics
Dielectric
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/adma.202504117
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adma.202504117
- OA Status
- hybrid
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413447187
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413447187Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/adma.202504117Digital Object Identifier
- Title
-
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor ComputingWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-08-23Full publication date if available
- Authors
-
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daewoong Kang, E. Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Minjae Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Lukáš Flajšman, Joona Bang, Tae‐Woo LeeList of authors in order
- Landing page
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https://doi.org/10.1002/adma.202504117Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adma.202504117Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adma.202504117Direct OA link when available
- Concepts
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Materials science, Ferroelectricity, Quantum dot, Nanotechnology, Quantum sensor, Optoelectronics, Quantum computer, Engineering physics, Quantum, Quantum network, Quantum mechanics, Dielectric, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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56Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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