Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Jang Sik Lee"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Hardware-based neural networks can provide a significant breakthrough in artificial intelligence. Here, the authors demonstrate an integrated 3-dimensional ferroelectric array with a layer-by-layer computation for area-efficient neural networks.
Externí odkaz:
https://doaj.org/article/0b3de2e2ac1a4532afb291b74be81cc8
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 10, Pp 104-108 (2022)
In flash memory technology, mechanical stress is considered as one of the major factors that can influence the device performance. Furthermore, mechanical stress can have a greater impact on the electrical performance in 3D NAND than in 2D NAND becau
Externí odkaz:
https://doaj.org/article/56df1458283e452f92072096e2d92c43
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Halide perovskite has been applied for resistive switching memory devices, but there are challenges remained to achieve practical application. By using high-throughput screening based on first-principles calculations, the authors discover that lead-f
Externí odkaz:
https://doaj.org/article/b821005c7ac4464788748b4a042b539e
Autor:
Akshay Sahota, Harrison Sejoon Kim, Jaidah Mohan, Dan N. Le, Yong Chan Jung, Si Joon Kim, Jang-Sik Lee, Jinho Ahn, Heber Hernandez-Arriaga, Jiyoung Kim
Publikováno v:
AIP Advances, Vol 11, Iss 11, Pp 115213-115213-6 (2021)
In this work, a nano-polycrystalline Ag-doped ZnO-based threshold switching (TS) selector via a facile co-sputtering technique is investigated without using an Ag active metal layer. The effects of the Ag concentration with respect to OFF-state leaka
Externí odkaz:
https://doaj.org/article/b23446ec68ee4627bd08cd91c934ad9d
Publikováno v:
ACS Omega. 8:18180-18185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cf549a1166bf8f7bfa8b20bed3ad8b2
https://doi.org/10.1021/acsomega.3c01561
https://doi.org/10.1021/acsomega.3c01561
Publikováno v:
Advanced Intelligent Systems, Vol 3, Iss 5, Pp n/a-n/a (2021)
Recently, consumer electronics have moved toward data‐centric applications due to the development of smart electronic devices. Moreover, electronic devices have become highly portable, wearable, and lightweight. These devices require flexible data
Externí odkaz:
https://doaj.org/article/89dc81c147ec4e5cae993f207d459cc0
Publikováno v:
ACS Applied Materials & Interfaces. 15:18055-18064
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::317e38030b718ebdd4b8a054bd33bd88
https://doi.org/10.1021/acsami.2c23218
https://doi.org/10.1021/acsami.2c23218
Autor:
Jang-Sik Lee, Dongshin Kim
Publikováno v:
ACS Applied Electronic Materials. 5:664-673
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45350aa1172a51c7bfc3cb77e311be0
https://doi.org/10.1021/acsaelm.2c01636
https://doi.org/10.1021/acsaelm.2c01636
Publikováno v:
IEEE Electron Device Letters. 44:249-252
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4743b98c8f25a6977753b99cfc446924
https://doi.org/10.1109/led.2022.3229680
https://doi.org/10.1109/led.2022.3229680
Publikováno v:
iScience, Vol 23, Iss 12, Pp 101846- (2020)
Neuromorphic devices and systems have attracted attention as next-generation computing due to their high efficiency in processing complex data. So far, they have been demonstrated using both machine-learning software and complementary metal-oxide-sem
Externí odkaz:
https://doaj.org/article/472b898b321b42e881573253a82aa482