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Jiyun Kim

Ulsan National Institute of Science and Technology · Engineering

About the Lab

Professor Jiyun Kim's research lab specializes in the design and development of smart, adaptive, and multifunctional materials and soft robotic systems that integrate advanced materials science with mechanical and control engineering. The lab focuses on creating responsive systems using soft magnetic composites, tensegrity structures, and programmable materials that enable real-time tunability of mechanical, magnetic, and optical properties. Key research directions include soft robotics with intrinsic sensing and actuation, magnetically reconfigurable materials, and miniaturized platforms for high-throughput biomedical screening.

soft roboticsmagnetic compositesprogrammable materialsself-sensingmultifunctional materials

Research Overview

Papers
72
Total Citations
1,784
Papers (5y)
26
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
26total
2022
2023
2024
2025
2026
Citations per year (5y)
559total
20222023202420252026

Selected Papers

15
1
Article|219 citations·2020
3D-printed programmable tensegrity for soft robotics
Hajun Lee, Yeonwoo Jang, Jun Kyu Choe, Suwoo Lee, Hyeonseo Song, Jin Pyo Lee, Nasreena Lone, Jiyun Kim
SJR Q1Science Robotics

Tensegrity structures provide both structural integrity and flexibility through the combination of stiff struts and a network of flexible tendons. These structures exhibit useful properties: high stiffness-to-mass ratio, controllability, reliability, structural flexibility, and large deployment. The integration of smart materials into tensegrity structures would provide additional functionality and may improve existing properties. However, manufacturing approaches that generate multimaterial par

Mechanical EngineeringEngineering
2
Article|167 citations·2020
Reprogrammable Ferromagnetic Domains for Reconfigurable Soft Magnetic Actuators
Hyeonseo Song, Hajun Lee, Jaebyeong Lee, Jun Kyu Choe, Suwoo Lee, Jee Yoon Yi, Sunghoon Park, Jung‐Woo Yoo, Min Sang Kwon, Jiyun Kim
SJR Q1Nano Letters

Soft magnetic materials have shown promise in diverse applications due to their fast response, remote actuation, and large penetration range for various conditions. Herein, a new soft magnetic composite material capable of reprogramming its magnetization profile without changing intrinsic magnetic properties of embedded magnetic particles or the molecular property of base material is reported. This composite contains magnetic microspheres in an elastomeric matrix, and the magnetic microspheres a

Condensed Matter PhysicsPhysics and Astronomy
3
Article|78 citations·2024
Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface
Jin Pyo Lee, Hanhyeok Jang, Yeonwoo Jang, Hyeonseo Song, Suwoo Lee, Pooi See Lee, Jiyun Kim
SJR Q1Nature CommunicationsOA

Human affects such as emotions, moods, feelings are increasingly being considered as key parameter to enhance the interaction of human with diverse machines and systems. However, their intrinsically abstract and ambiguous nature make it challenging to accurately extract and exploit the emotional information. Here, we develop a multi-modal human emotion recognition system which can efficiently utilize comprehensive emotional information by combining verbal and non-verbal expression data. This sys

Experimental and Cognitive PsychologyPsychology
4
Article|69 citations·2023
A soft, self-sensing tensile valve for perceptive soft robots
Jun Kyu Choe, Junsoo Kim, Hyeonseo Song, Joonbum Bae, Jiyun Kim, Jiyun Kim, Jiyun Kim
SJR Q1Nature CommunicationsOA

Soft inflatable robots are a promising paradigm for applications that benefit from their inherent safety and adaptability. However, for perception, complex connections of rigid electronics both in hardware and software remain the mainstay. Although recent efforts have created soft analogs of individual rigid components, the integration of sensing and control systems is challenging to achieve without compromising the complete softness, form factor, or capabilities. Here, we report a soft self-sen

Biomedical EngineeringEngineering
5
Article|69 citations·2019
Discrete time delay control for hydraulic excavator motion control with terminal sliding mode control
Jiyun Kim, Maolin Jin, Wonseok Choi, Jang-Myung Lee
SJR Q1Mechatronics
Mechanical EngineeringEngineering
6
Article|44 citations·2018
One‐Step Generation of a Drug‐Releasing Hydrogel Microarray‐On‐A‐Chip for Large‐Scale Sequential Drug Combination Screening
Seo Woo Song, Su Deok Kim, Dong Yoon Oh, Yong‐Ju Lee, Amos Chungwon Lee, Yunjin Jeong, Hyung Jong Bae, Daewon Lee, Sumin Lee, Jiyun Kim, Sunghoon Kwon
SJR Q1Advanced ScienceOA

Large-scale screening of sequential drug combinations, wherein the dynamic rewiring of intracellular pathways leads to promising therapeutic effects and improvements in quality of life, is essential for personalized medicine to ensure realistic cost and time requirements and less sample consumption. However, the large-scale screening requires expensive and complicated liquid handling systems for automation and therefore lowers the accessibility to clinicians or biologists, limiting the full pote

Biomedical EngineeringEngineering
7
Article|42 citations·2023
Digital Mechanical Metamaterial: Encoding Mechanical Information with Graphical Stiffness Pattern for Adaptive Soft Machines
Jun Kyu Choe, Jiyoon Yi, Hanhyeok Jang, Heejae Won, Suwoo Lee, Hajun Lee, Yeonwoo Jang, Hyeonseo Song, Jiyun Kim
SJR Q1Advanced Materials

Inspired by the adaptive features exhibited by biological organisms like the octopus, soft machines that can tune their shape and mechanical properties have shown great potential in applications involving unstructured and continuously changing environments. However, current soft machines are far from achieving the same level of adaptability as their biological counterparts, hampered by limited real-time tunability and severely deficient reprogrammable space of properties and functionalities. As

Mechanical EngineeringEngineering
8
Article|36 citations·2021
Direct 2D-to-3D transformation of pen drawings
Seo Woo Song, Sumin Lee, Jun Kyu Choe, Na‐Hyang Kim, Jun‐Won Kang, Amos Chungwon Lee, Yeongjae Choi, Ahyoun Choi, Yunjin Jeong, Wooseok Lee, Ju‐Young Kim, Sunghoon Kwon
SJR Q1Science AdvancesOA

Pen drawing is a method that allows simple, inexpensive, and intuitive two-dimensional (2D) fabrication. To integrate such advantages of pen drawing in fabricating 3D objects, we developed a 3D fabrication technology that can directly transform pen-drawn 2D precursors into 3D geometries. 2D-to-3D transformation of pen drawings is facilitated by surface tension-driven capillary peeling and floating of dried ink film when the drawing is dipped into an aqueous monomer solution. Selective control of

Automotive EngineeringEngineering
9
Article|35 citations·2023
Pen-drawn Marangoni swimmer
Seo Woo Song, Sumin Lee, Jun Kyu Choe, Amos Chungwon Lee, Kyoungseob Shin, Jun‐Won Kang, Gyeongjun Kim, Huiran Yeom, Yeongjae Choi, Sunghoon Kwon, Jiyun Kim
SJR Q1Nature CommunicationsOA

Pen-drawing is an intuitive, convenient, and creative fabrication method for delivering emergent and adaptive design to real devices. To demonstrate the application of pen-drawing to robot construction, we developed pen-drawn Marangoni swimmers that perform complex programmed tasks using a simple and accessible manufacturing process. By simply drawing on substrates using ink-based Marangoni fuel, the swimmers demonstrate advanced robotic motions such as polygon and star-shaped trajectories, and

Condensed Matter PhysicsPhysics and Astronomy
10
Article|32 citations·2024
Flexible, Biodegradable, and Wireless Magnetoelectric Paper for Simple In Situ Personalization of Bioelectric Implants
Jun Kyu Choe, Suntae Kim, Ah‐Young Lee, Cholong Choi, Jae‐Hyeon Cho, Wook Jo, Myoung Hoon Song, Chaenyung Cha, Jiyun Kim
SJR Q1Advanced Materials

Bioelectronic implants delivering electrical stimulation offer an attractive alternative to traditional pharmaceuticals in electrotherapy. However, achieving simple, rapid, and cost-effective personalization of these implants for customized treatment in unique clinical and physical scenarios presents a substantial challenge. This challenge is further compounded by the need to ensure safety and minimal invasiveness, requiring essential attributes such as flexibility, biocompatibility, lightness,

Biomedical EngineeringEngineering
11
Review|32 citations·2015
Recapitulating the Tumor Ecosystem Along the Metastatic Cascade Using 3D Culture Models
Jiyun Kim, Kandice Tanner
SJR Q2Frontiers in OncologyOA

Advances in cancer research have shown that a tumor can be likened to a foreign species that disrupts delicately balanced ecological interactions, compromising the survival of normal tissue ecosystems. In efforts to mitigate tumor expansion and metastasis, experimental approaches from ecology are becoming more frequently and successfully applied by researchers from diverse disciplines to reverse engineer and re-engineer biological systems in order to normalize the tumor ecosystem. We present a r

Biomedical EngineeringEngineering
12
Article|30 citations·2023
High‐Performance Optoelectronic Gas Sensing Based on All‐Inorganic Mixed‐Halide Perovskite Nanocrystals with Halide Engineering
Jiyun Kim, Alishba T. John, Hanchen Li, Chien‐Yu Huang, Chi Yuan, Pradeep Raja Anandan, Krishnan Murugappan, Jianbo Tang, Chun‐Ho Lin, Long Hu, Kourosh Kalantar‐Zadeh, Antonio Tricoli
SJR Q1Small MethodsOA

Abstract Gas sensors are of great interest to portable and miniaturized sensing technologies with applications ranging from air quality monitoring to explosive detection and medical diagnostics, but the existing chemiresistive NO 2 sensors still suffer from issues such as poor sensitivity, high operating temperature, and slow recovery. Herein, a high‐performance NO 2 sensors based on all‐inorganic perovskite nanocrystals (PNCs) is reported, achieving room temperature operation with ultra‐fast re

Electrical and Electronic EngineeringEngineering
13
Article|29 citations·2022
Multiscale Engineering of Nanofiber‐Aerogel Composite Nanogenerator with Tunable Triboelectric Performance Based on Multifunctional Polysuccinimide
Mirae Kim, Cholong Choi, Jin Pyo Lee, Jiyun Kim, Chaenyung Cha
SJR Q1Small

Multiscale polymer engineering, involving chemical modification to control their triboelectric polarities as well as physicomechanical modification to maximize charge transfer and structural durability, is paramount to developing a high-performance triboelectric nanogenerator (TENG). This report introduces a highly efficient and comprehensive strategy to engineer high-performance TENG based on multifunctional polysuccinimide (PSI). With the ability of PSI to undergo facile nucleophilic addition

Biomedical EngineeringEngineering
14
Article|18 citations·2024
Synergetic Phase Modulation and N‐Doping of MoS2 for Highly Sensitive Flexible NO2 Sensors
Jiyun Kim, Mengyao Li, Chun‐Ho Lin, Long Hu, Tao Wan, Ayad Saeed, Peiyuan Guan, Zijian Feng, Tushar Kumeria, Jianbo Tang, Dawei Su, Tom Wu
SJR Q1Advanced ScienceOA

Abstract Molybdenum disulfide (MoS 2 ) is a promising electronic material owing to its excellent electrochemical features, high carrier mobility at room temperature, and widely tunable electronic properties. Here, through precursor engineering and post‐treatments to tailor their phase and doping, electronic characteristics of MoS 2 are significantly modified. It is found that 2H semiconductor phase with nitrogen doping (N‐doping) in flexible gas sensors constructed with Ag electrodes exhibits th

Electrical and Electronic EngineeringEngineering
15
Article|15 citations·2023
Highly Compressible 3D-Printed Soft Magnetoelastic Sensors for Human–Machine Interfaces
Hyeonseo Song, Yeonwoo Jang, Jin Pyo Lee, Jun Kyu Choe, Minbyeol Yun, Youn‐Kyoung Baek, Jiyun Kim
SJR Q1ACS Applied Materials & Interfaces

Incorporating perception into robots or objects holds great potential to revolutionize daily human life. To achieve this, critical factors include the design of an integrable three-dimensional (3D) soft sensor with self-powering capability, a wide working range, and tuneable functionalities. Here, we introduce a highly compressible 3D-printed soft magnetoelastic sensor with a wide strain sensing range. Inspired by the lattice metamaterial, which offers a highly porous structure with tuneable mec

Biomedical EngineeringEngineering

Research Areas

Biomedical EngineeringElectrical and Electronic EngineeringMechanical EngineeringCondensed Matter PhysicsImmunologyComputer Graphics and Computer-Aided Design

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