Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Gunuk Wang"'
Autor:
Sanghyeon Choi, Jaeho Shin, Gwanyeong Park, Jung Sun Eo, Jingon Jang, J. Joshua Yang, Gunuk Wang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract A wide reservoir computing system is an advanced architecture composed of multiple reservoir layers in parallel, which enables more complex and diverse internal dynamics for multiple time-series information processing. However, its hardware
Externí odkaz:
https://doaj.org/article/069bec0f54084a09905f12bd9bbe0b45
Publikováno v:
Nano Convergence, Vol 10, Iss 1, Pp 1-32 (2023)
Abstract Memristors have attracted increasing attention due to their tremendous potential to accelerate data-centric computing systems. The dynamic reconfiguration of memristive devices in response to external electrical stimuli can provide highly de
Externí odkaz:
https://doaj.org/article/477582e18b774078a222be5f719a5f22
Autor:
Sunbin Hwang, Minji Kang, Aram Lee, Sukang Bae, Seoung-Ki Lee, Sang Hyun Lee, Takhee Lee, Gunuk Wang, Tae-Wook Kim
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Towards further integration and miniaturization of e-textiles, in this work, authors demonstrate an integrated electronic fibre platform by fabricating multiple electronic components such as transistors, inverters, ring oscillators, and thermocouples
Externí odkaz:
https://doaj.org/article/3bea025946c2471ebb34a1c8190e2fa8
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 3, Pp n/a-n/a (2023)
A novel methodology in the manner of vector‐matrix multiplication (VMM) architecture is suggested for intelligently determining traffic signal changes to enhance the flow of urban traffic. Unlike the conventional prediction‐based traffic model, a
Externí odkaz:
https://doaj.org/article/0ae3bd8cd25148c89cdfb42eb4d5ee02
Publikováno v:
Advanced Science, Vol 9, Iss 30, Pp n/a-n/a (2022)
Abstract Molecular electronics that can produce functional electronic circuits using a single molecule or molecular ensemble remains an attractive research field because it not only represents an essential step toward realizing ultimate electronic de
Externí odkaz:
https://doaj.org/article/97f0146e3ac54ebbbb73a15491cf5601
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Generally, the decision rule for classifying unstructured data in an artificial neural network system depends on the sequence results of an activation function determined by vector–matrix multiplication between the input bias signal and th
Externí odkaz:
https://doaj.org/article/fab889d7777348f9b33509d3c52379b5
Publikováno v:
Advanced Science, Vol 9, Iss 11, Pp n/a-n/a (2022)
Abstract The human brain's neural networks are sparsely connected via tunable and probabilistic synapses, which may be essential for performing energy‐efficient cognitive and intellectual functions. In this sense, the implementation of a flexible n
Externí odkaz:
https://doaj.org/article/634b71c90c414c429f49dba4645a3305
Autor:
Jaeho Shin, Seunghoon Yang, Yeonsik Jang, Jung Sun Eo, Tae-Wook Kim, Takhee Lee, Chul-Ho Lee, Gunuk Wang
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
Molecular electronics holds promise for device miniaturization yet can only be realized by choosing specially designed molecular species to date. Here, Shin et al. show tunable rectifying characteristics in a molecular heterojunction with non-functio
Externí odkaz:
https://doaj.org/article/9c77f6f3c73b47e8bfda4d1ec13dca56
Autor:
Jung Sun Eo, Jaeho Shin, Seunghoon Yang, Takgyeong Jeon, Jaeho Lee, Sanghyeon Choi, Chul‐Ho Lee, Gunuk Wang
Publikováno v:
Advanced Science, Vol 8, Iss 21, Pp n/a-n/a (2021)
Abstract Understanding and designing interfacial band alignment in a molecular heterojunction provides a foundation for realizing its desirable electronic functionality. In this study, a tailored molecular heterojunction selector is implemented by co
Externí odkaz:
https://doaj.org/article/c58e140472f441a49d8f7195c012d331
Autor:
Kyuho Lee, Seonghoon Jang, Kang Lib Kim, Min Koo, Chanho Park, Seokyeong Lee, Junseok Lee, Gunuk Wang, Cheolmin Park
Publikováno v:
Advanced Science, Vol 7, Iss 22, Pp n/a-n/a (2020)
Abstract Lightweight and flexible tactile learning machines can simultaneously detect, synaptically memorize, and subsequently learn from external stimuli acquired from the skin. This type of technology holds great interest due to its potential appli
Externí odkaz:
https://doaj.org/article/def373e6d75a4dee922858799f66e95f