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Taeyong Kim

Yonsei University · Engineering

About the Lab

Professor Taeyong Kim's research lab specializes in the mechanics and reliability of advanced materials and structural systems under extreme dynamic loads, with a focus on seismic resilience and energy conversion materials. The lab investigates nonlinear structural responses using data-driven methods such as deep learning for earthquake engineering applications, while also exploring ion dynamics and defect engineering in functional materials like perovskites and ultra-high molecular weight polyethylene. Key research directions include developing predictive models for structural performance under strong ground motions, understanding degradation mechanisms in hysteretic systems, and characterizing thermal and ionic transport in next-generation materials. The lab bridges fundamental material science with practical engineering challenges, aiming to enhance the safety, durability, and efficiency of critical infrastructure and energy technologies.

seismic resiliencedeep learninghysteretic systemsperovskite materialsthermal transport

Research Overview

Papers
201
Total Citations
2,211
Papers (5y)
69
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
69total
2022
2023
2024
2025
2026
Citations per year (5y)
545total
20222023202420252026

Selected Papers

15
1
Article|119 citations·2018
Response prediction of nonlinear hysteretic systems by deep neural networks
Taeyong Kim, Oh‐Sung Kwon, Junho Song
SJR Q1Neural Networks
Civil and Structural EngineeringEngineering
2
Article|109 citations·2020
Probabilistic evaluation of seismic responses using deep learning method
Taeyong Kim, Junho Song, Oh‐Sung Kwon
SJR Q1Structural SafetyOA

Structural failures caused by a strong earthquake may induce a large number of casualties and huge socioeconomic losses. To design a structure that can withstand such earthquake events, it is essential to accurately estimate the nonlinear structural responses caused by strong ground motions. As a replacement of an onerous and complex nonlinear time history analysis, simple regression-based equations have been widely adopted in routine engineering practices. It is, however, noted that the respons

Civil and Structural EngineeringEngineering
3
Article|102 citations·2023
Mapping the pathways of photo-induced ion migration in organic-inorganic hybrid halide perovskites
Taeyong Kim, So Yeon Park, Vasudevan Iyer, Basamat S. Shaheen, Usama Choudhry, Qi Jiang, Gage Eichman, Ryan Gnabasik, Kyle P. Kelley, Benjamin J. Lawrie, Kai Zhu, Bolin Liao
SJR Q1Nature CommunicationsOA

Organic-inorganic hybrid perovskites exhibiting exceptional photovoltaic and optoelectronic properties are of fundamental and practical interest, owing to their tunability and low manufacturing cost. For practical applications, however, challenges such as material instability and the photocurrent hysteresis occurring in perovskite solar cells under light exposure need to be understood and addressed. While extensive investigations have suggested that ion migration is a plausible origin of these d

Electrical and Electronic EngineeringEngineering
4
Article|80 citations·2000
B-site vacancy as the origin of spontaneous normal-to-relaxor ferroelectric transitions in La-modified PbTiO3
Taeyong Kim, Hyun M. Jang
SJR Q1Applied Physics LettersOA

The site vacancy responsible for the manifestation of a spontaneous normal-to-relaxor transition was investigated using La-modified PbTiO3 as a model perovskite system. The two cation-site defects relevant to the present study are the A-site (Pb site) and B-site (Ti site) vacancies. To clearly elucidate the type of vacancy involved in the spontaneous transition, we have developed a sintering route that suitably adjusts the relative concentration of these two distinct cation-site vacancies. Using

Materials ChemistryMaterials Science
5
Article|74 citations·2020
Pre‐ and post‐earthquake regional loss assessment using deep learning
Taeyong Kim, Junho Song, Oh‐Sung Kwon
SJR Q1Earthquake Engineering & Structural Dynamics

Summary As urban systems become more highly sophisticated and interdependent, their vulnerability to earthquake events exhibits a significant level of uncertainties. Thus, community‐level seismic risk assessments are indispensable to facilitate decision making for effective hazard mitigation and disaster responses. To this end, new frameworks for pre‐ and post‐earthquake regional loss assessments are proposed using deep learning methods. First, to improve the accuracy of the response prediction

Civil and Structural EngineeringEngineering
6
Article|59 citations·2022
Origin of high thermal conductivity in disentangled ultra-high molecular weight polyethylene films: ballistic phonons within enlarged crystals
Taeyong Kim, Stavros X. Drakopoulos, Sara Ronca, Austin J. Minnich
SJR Q1Nature CommunicationsOA

) have recently been reported in disentangled ultra-high molecular weight polyethylene (UHMWPE) films, considerably exceeding prior reported values for oriented films. However, conflicting explanations have been proposed for the microscopic origin of the high thermal conductivity. Here, we report a characterization of the thermal conductivity and mean free path accumulation function of disentangled UHMWPE films (draw ratio ~200) using cryogenic steady-state thermal conductivity measurements and

Materials ChemistryMaterials Science
7
Article|55 citations·2022
Deep learning based seismic response prediction of hysteretic systems having degradation and pinching
Taeyong Kim, Oh‐Sung Kwon, Junho Song
SJR Q1Earthquake Engineering & Structural Dynamics

Abstract The response of a hysteretic system is determined not only by the instantaneous external force but also by the loading history; thereby, a nonlinear time history analysis is needed for the accurate prediction of dynamic responses. The authors recently developed deep neural network (DNN) models for near‐real‐time seismic response predictions of hysteretic systems (Kim et al., 2019). The DNN models outperform existing regression‐based prediction methods for the idealized hysteretic system

Civil and Structural EngineeringEngineering
8
Article|46 citations·2018
Generalized Reliability Importance Measure (GRIM) using Gaussian mixture
Taeyong Kim, Junho Song
SJR Q1Reliability Engineering & System Safety
Statistics, Probability and UncertaintyDecision Sciences
9
Article|37 citations·2021
Clustering‐based adaptive ground motion selection algorithm for efficient estimation of structural fragilities
Taeyong Kim, Oh‐Sung Kwon, Junho Song
SJR Q1Earthquake Engineering & Structural DynamicsOA

Abstract To accurately predict the seismic demands of structural systems, a proper set of ground motions representing the seismic hazard of a given site is needed. In general, such a set includes a large number of ground motions, and thus may result in high computational cost. To address this computational challenge without compromising the accuracy of structural fragility, this paper proposes a clustering‐based algorithm that can select a representative subset of ground motions adaptively from

Civil and Structural EngineeringEngineering
10
Article|34 citations·2022
Machine-learning-based prediction of vortex-induced vibration in long-span bridges using limited information
Sun-Joong Kim, Taeyong Kim
SJR Q1Engineering Structures
Computational MechanicsEngineering
11
Article|33 citations·2008
DrivenShape
Taeyong Kim, Eugene Vendrovsky

No abstract available.

Management of Technology and InnovationBusiness, Management and Accounting
12
Article|32 citations·2002
Effects of La doping on the cubic–tetragonal phase transition and short-range ordering in PbTiO3
Taeyong Kim, Hyun M. Jang, Seong M. Cho
SJR Q2Journal of Applied PhysicsOA

Effects of cation-site vacancies on the characteristics of the cubic–tetragonal displacive transitions in La-modified PbTiO3 (PLT) were studied using in situ XRD measurements and Raman scattering. For this purpose, two distinct types of PLT series having cation-site vacancies either at the A site (PLT-A) or at the B site (PLT-B) were separately prepared. The PLT-A series exhibited normal ferroelectricity and underwent the cubic-to-tetragonal structural transition for La substitution up to 30 at.

Materials ChemistryMaterials Science
13
Article|28 citations·2017
Elastic and thermal properties of free-standing molybdenum disulfide membranes measured using ultrafast transient grating spectroscopy
Taeyong Kim, Ding Ding, Jong-Hyuk Yim, Young-Dahl Jho, Austin J. Minnich
SJR Q1APL MaterialsOA

Molybdenum disulfide (MoS2), a member of transition-metal dichalcogenide family, is of intense interest due to its unique electronic and thermoelectric properties. However, reports of its in-plane thermal conductivity vary due to the difficulty of in-plane thermal conductivity measurements on thin films, and an experimental measurement of the in-plane sound velocity has not been reported. Here, we use time-resolved transient grating spectroscopy to simultaneously measure the in-plane elastic and

Materials ChemistryMaterials Science
14
Article|20 citations·2020
Optimization of MIS type Non-Volatile Memory Device with Al-Doped HfO 2 as Charge Trapping Layer
Geonju Yoon, Taeyong Kim, Khushabu Agrawal, Jaemin Kim, Jinsu Park, Hyun-Hoo Kim, Eun‐Chel Cho, Junsin Yi
SJR Q3ECS Journal of Solid State Science and Technology

The reduction in physical size of the Non-volatile memory (NVM) demands the use of high-k dielectrics due to loss in charge trapping behavior. The large bandgap of Al 2 O 3 (∼7.0 eV) proves it suitable for blocking and tunneling layer, while the high dielectric constant of HfO 2 proves it suitable for charge trapping layer (CTL). In this paper, we propose the application of Al doped HfO 2 used as CTL. The doping concentration has been varied by varying the number of sub-cycles (sequential cycles

Electrical and Electronic EngineeringEngineering
15
Article|20 citations·2024
Efficient seismic fragility analysis considering uncertainties in structural systems and ground motions
Jungho Kim, Taeyong Kim
SJR Q1Earthquake Engineering & Structural DynamicsOA

Abstract Fragility plays a pivotal role in performance‐based earthquake engineering, which represents the seismic performance of structural systems. To comprehensively understand the structural performance under seismic events, it is necessary to consider uncertainties in the structural model, i.e., epistemic uncertainties. However, considering such uncertainties is challenging due to computational complexity, leading most fragility analyses only to consider the chaotic behavior of ground motion

Civil and Structural EngineeringEngineering

Research Areas

Electrical and Electronic EngineeringCivil and Structural EngineeringMaterials ChemistryComputational MechanicsBiomedical EngineeringIndustrial and Manufacturing Engineering

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