Dae‐Eun Kim
Yonsei University · 工学
研究室紹介
Professor Dae-Eun Kim's research lab specializes in the development of advanced functional materials and intelligent systems for sustainable energy, biomedical engineering, and robotics. The lab focuses on creating flexible and stretchable optoelectronic devices—particularly perovskite solar cells—using innovative substrates and transparent conductive electrodes based on graphene, carbon nanotubes, and silver nanowires. It also explores multifunctional biodegradable coatings for orthopedic implants through plasma electrolytic oxidation to enhance corrosion resistance, wear performance, and bioactivity. Additionally, the lab investigates bio-inspired control strategies for multi-robot systems, particularly in shepherding and collective motion tasks using decentralized coordination.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Highly efficient solar cells with sustainable performance under severe mechanical deformations are in great demand for future wearable power supply devices. In this regard, numerous studies have progressed to implement flexible architecture to high‐performance devices such as perovskite solar cells. However, the absence of suitable flexible and stretchable materials has been a great obstacle in the replacement of largely utilized transparent conducting oxides that are limited in flexibility. Her
The electrical, optical, thermal, chemical, mechanical and tribological characteristics of a highly flexible transparent conductive electrode (HFTCE) coating based on reduced graphene oxide (rGO), carbon nanotubes (CNTs) and silver nanowires (AgNWs) were investigated under various conditions. The motivation was to develop a highly durable and flexible film for transparent conductive electrode applications. The overall characteristics of multilayers based on rGO, CNTs and AgNWs were found to be m
Abstracts of the 25th Annual Computational Neuroscience\nMeeting: CNS-2016\nSeogwipo City, Jeju-do, South Korea. 2–7 July 2016
This paper presents a distributed coordination methodology for multi-robot systems, based on nearest-neighbor interactions. Among many interesting tasks that may be performed using swarm robots, we propose a biologically-inspired control law for a shepherding task, whereby a group of external agents drives another group of agents to a desired location. First, we generated sheep-like robots that act like a flock. We assume that each agent is capable of measuring the relative location and velocity