Gunhee Lee
KAIST 전기 및 전자공학부 · 공학
이 교수의 연구실은 부드럽고 유연한 전자소재, 특히 인체에 부착 가능한 소프트 전자기기의 핵심 소재로 주목받는 액체금속 기반 복합재료의 개발에 집중하고 있습니다. 고전도성과 기계적 유연성을 동시에 확보한 e-타투, 섬유 기반 전도성 센서, 그리고 대형 스케일의 유연한 전도성 섬유 등 실생활 적용에 적합한 소재 및 제작 기술을 연구하고 있습니다. 특히, 고해상도 패턴링, 빠른 제작, 뛰어난 기계적 내구성과 초기 전도성을 동시에 확보하는 신소재 기반의 혁신적 프린팅 및 코ating 공정 개발이 핵심 과제입니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Liquid metal is being regarded as a promising material for soft electronics owing to its distinct combination of high electrical conductivity comparable to that of metals and exceptional deformability derived from its liquid state. However, the applicability of liquid metal is still limited due to the difficulty in simultaneously achieving its mechanical stability and initial conductivity. Furthermore, reliable and rapid patterning of stable liquid metal directly on various soft substrates at hi
Conventional electronic (e-) skins are a class of thin-film electronics mainly fabricated in laboratories or factories, which is incapable of rapid and simple customization for personalized healthcare. Here a new class of e-tattoos is introduced that can be directly implemented on the skin by facile one-step coating with various designs at multi-scale depending on the purpose of the user without a substrate. An e-tattoo is realized by attaching Pt-decorated carbon nanotubes on gallium-based liqu
Deformable semi-solid liquid metal particles (LMP) have emerged as a promising substitute for rigid conductive fillers due to their excellent electrical properties and stable conductance under strain. However, achieving a compact and robust coating of LMP on fibers remains a persistent challenge, mainly due to the incompatibility of conventional coating techniques with LMP. Additionally, the limited durability and absence of initial electrical conductivity of LMP restrict their widespread applic
Passive component-based soft resonators have been spotlighted in the field of wearable and implantable devices due to their remote operation capability and tunable properties. As the output signal of the resonator-based wireless communication device is given in the form of a vector (<i>i.e.</i>, a spectrum of reflection coefficient), multiple information can, in principle, be stored and interpreted. Herein, we introduce a device that can deconvolute mechanical stimuli from a single wireless sign
E-Tattoos In article number 2204159, Hyung-Ryong Kim, Jae-Woong Jeong, Steve Park, and co-workers introduce a new class of e-tattoo that can be implemented on-the-fly according to users' demands. To realize intimate, compact, and rapid assembly of intrinsically conductive and durable EGaIn composites, ethanol-based ink is developed. Demonstrations of wearable bioelectronics confirm the validity of the e-tattoo in healthcare.
Intelligent digital apparel, which integrates electronic functionalities into clothing, represents the future of healthcare and ubiquitous control in wearable devices. Realizing such apparel necessitates developing meter-scale conductive fibers with high toughness, conductivity, stable conductance under deformation, and mechanical durability. In this study, we present a heterostructure printing method capable of producing meter-scale (~50 m) biphasic conductive fibers that meet these criteria. O
Variable stiffness electronics represent the forefront of adaptive technology, integrating rigid and soft electronics in a single system through dynamic mechanical modulation. While gallium's high modulus tuning ratio and rapid phase transitions make it ideal for transformative electronic systems (TES), its liquid-state instability, high surface tension, and unintended phase transitions during processing pose substantial challenges. Here, we introduce STiffness-Adjustable temperature-Responsive
Parallel signal processing and perceptual learning are two essential characteristics of the human somatosensory system. In article number 1906269, inspired by the human somatosensory system, Joo Yong Sim, Jong-Gwan Yook, Steve Park, and co-workers report the design of a wireless communication platform that is able to receive and differentiate multiple pressure signals simultaneously. Moreover, convolutional-neural-network-based machine learning, mimicking human cognition ability, is implemented
<div>We report the first example of a binuclear Ti–N<sub>2</sub> complex with</div><div>triphenolamine that adopts trigonal bipyramidal and octahedral</div><div>geometries on the Ti centers. The activated N<sub>2</sub> was reduced to</div><div>ammonia with 154% yield (per Ti atom) in the presence of</div><div>proton and electron sources.</div>