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Jeong-Tae Kim

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Citations 117
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Recent Articles
1.
Ta Q, Pham N, Kim J
Sensors (Basel) . 2024 Oct; 24(20). PMID: 39460132
Stress and damage estimation is essential to ensure the safety and performance of concrete structures. The capsule-like smart aggregate (CSA) technique has demonstrated its potential for detecting early-stage internal damage....
2.
Ta Q, Pham Q, Pham N, Kim J
Sensors (Basel) . 2024 Jul; 24(14). PMID: 39066134
This study presents a concrete stress monitoring method utilizing 1D CNN deep learning of raw electromechanical impedance (EMI) signals measured with a capsule-like smart aggregate (CSA) sensor. Firstly, the CSA-based...
3.
Kim J, Kennedy S, Phiri I, Ryou S
ACS Appl Mater Interfaces . 2024 Feb; 16(9):11400-11407. PMID: 38409749
The practical utilization of Si electrodes is hindered by their substantial volume expansion during alloying and dealloying processes, which causes mechanical damage and separation from Cu current collectors. To alleviate...
4.
Pham Q, Ta Q, Kim J
Sensors (Basel) . 2023 Jan; 23(1). PMID: 36617032
In this article, a new capsule-like smart aggregate (CSA) is developed and verified for impedance-based stress monitoring in a pre-determined frequency range of less than 100 kHz. The pros and...
5.
Pham Q, Ta Q, Park J, Kim J
Sensors (Basel) . 2022 Dec; 22(24). PMID: 36559959
A wireless impedance monitoring system, called SSeL-Pi, is designed to have cheap, mobile, and handy practical features as compared to wired commercial impedance analyzers. A Raspberry Pi platform impedance sensor...
6.
Phiri I, Kim J, Afumaa Afrifah V, Kim J, Lee Y, Ryou S
ACS Appl Mater Interfaces . 2022 Oct; PMID: 36261816
Lithium metal is considered a next-generation anode material for high-voltage, high-energy-density batteries; however, its commercialization is limited because of dendrite formation during charging, which leads to short-circuiting and fire. Li...
7.
Ta Q, Huynh T, Pham Q, Kim J
Sensors (Basel) . 2022 May; 22(9). PMID: 35591032
The performance of a neural network depends on the availability of datasets, and most deep learning techniques lack accuracy and generalization when they are trained using limited datasets. Using synthesized...
8.
Pham Q, Dang N, Kim J
Sensors (Basel) . 2021 Dec; 21(23). PMID: 34883921
This study investigates the feasibility evaluation of smart PZT-embedded sensors for impedance-based damage monitoring in prestressed concrete (PSC) anchorages. Firstly, the concept of impedance-based damage monitoring for the concrete anchorage...
9.
Pham Q, Dang N, Ta Q, Kim J
Sensors (Basel) . 2021 Oct; 21(19). PMID: 34640655
This study investigates the feasibility of smart aggregate (SA) sensors and their optimal locations for impedance-based damage monitoring in prestressed concrete (PSC) anchorage zones. Firstly, numerical stress analyses are performed...
10.
Pham H, Ta Q, Kim J, Ho D, Tran X, Huynh T
Sensors (Basel) . 2021 Aug; 21(16). PMID: 34451120
The authors wish to make the following correction to this paper [...].