Wonjun Shin
Overview
Explore the profile of Wonjun Shin including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
23
Citations
49
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Im J, Pak S, Woo S, Shin W, Lee S
Biomimetics (Basel)
. 2025 Feb;
10(2).
PMID: 39997144
The rapid expansion of data has made global access easier, but it also demands increasing amounts of energy for data storage and processing. In response, neuromorphic electronics, inspired by the...
2.
Park M, Hwang J, Kim S, Shin W, Shim W, Bae J, et al.
Sci Rep
. 2024 Nov;
14(1):29089.
PMID: 39580504
Processing-in-memory (PIM) is gaining tremendous research and commercial interest because of its potential to replace the von Neumann bottleneck in current computing architectures. In this study, we implemented a PIM...
3.
Shin W, Lee J, Kim J, Lee S, Lee S
Discov Nano
. 2024 Nov;
19(1):187.
PMID: 39570449
The need for understanding the low-frequency noise (LFN) of metal oxide semiconductor thin-film transistors (TFTs) is increasing owing to the substantial effects of LFN in various circuit applications. A focal...
4.
Shin W, Lee D, Ko R, Koo R, Yoo H, Lee S
Discov Nano
. 2024 Nov;
19(1):185.
PMID: 39560871
Low-frequency noise (LFN) characteristics of semiconductor devices pose a significant importance for understanding their working principle, particularly concerning material imperfections. Accordingly, substantial research endeavors have focused on characterizing the LFN...
5.
Kim S, Shin W, Koo R, Kim J, Im J, Koh D, et al.
Small
. 2024 Nov;
:e2406376.
PMID: 39501938
The discovery of ferroelectricity in hafnia-based materials has revitalized interest in realizing ferroelectric field-effect transistors (FeFETs) due to its compatibility with modern microelectronics. Furthermore, low-temperature processing by atomic layer deposition...
6.
Kim J, Park E, Shin W, Koo R, Han C, Kang H, et al.
Nat Commun
. 2024 Oct;
15(1):9147.
PMID: 39443502
Analog reservoir computing (ARC) systems have attracted attention owing to their efficiency in processing temporal information. However, the distinct functionalities of the system components pose challenges for hardware implementation. Herein,...
7.
Kim J, Park E, Shin W, Koo R, Im J, Han C, et al.
Adv Sci (Weinh)
. 2024 Oct;
11(44):e2407870.
PMID: 39382159
Artificial neurons and synapses are crucial for efficiently implementing spiking neural networks (SNNs) in hardware. The distinct functional requirements of artificial neurons and synapses present significant challenges in the implementation...
8.
Koo R, Shin W, Kim J, Yim J, Ko J, Jung G, et al.
Adv Sci (Weinh)
. 2024 Sep;
11(43):e2407729.
PMID: 39324607
Ferroelectric (FE) materials are key to advancing electronic devices owing to their non-volatile properties, rapid state-switching abilities, and low-energy consumption. FE-based devices are used in logic circuits, memory-storage devices, sensors,...
9.
Shin W, Byeon J, Koo R, Lim J, Kang J, Jang A, et al.
Adv Sci (Weinh)
. 2024 May;
11(28):e2307196.
PMID: 38773725
The pursuit of sub-1-nm field-effect transistor (FET) channels within 3D semiconducting crystals faces challenges due to diminished gate electrostatics and increased charge carrier scattering. 2D semiconductors, exemplified by transition metal...
10.
Kim J, Im J, Shin W, Lee S, Oh S, Kwon D, et al.
Adv Sci (Weinh)
. 2024 May;
11(26):e2308460.
PMID: 38709909
Smart healthcare systems integrated with advanced deep neural networks enable real-time health monitoring, early disease detection, and personalized treatment. In this work, a novel 3D AND-type flash memory array with...