I am an assistant professor at Pukyong National University, Department of Materials Science and Engineering.
Our lab is Nano Mechanics & Micro Reliability Lab and we are doing the following research projects.
인공지능 학습 기반 인체삽입형 전자소자용 생체분해성 합금 전주기 소재 HUB 구축 및 개발 (한국연구재단)
스테인리스강 초박판 신뢰성 평가 기술 개발 (LG전자)
압입시험 기반 수소장입 영향 정량화 및 X70강 수소취화 메커니즘 규명 연구 (한국재료연구원)
HBM 국부 잔류응력 측정 기술 Setup 통한 Crack/Delamination 불량 해석 방법론 개발 (SK하이닉스, 참여)
Our research interests are as follows:
Before joining Pukyong National University, I was a Postdoctoral fellow at the Harvard SEAS working with Professor Joost Vlassak, since Sept 2019. I studied the following research related to mechanics and material science. My research covers studies related to mechanics in the entire life cycle of materials, from material design through fabrication, characterization, and modeling to reliability.
Mechanical behavior of 2D nanolattice structure, and its applications as a photophoretic levitation device
Fracture of polymers in aqueous corrosive environment, and their effects on structural reliability
Mechanical characterization of materials in multi-scales using machine learning: how to reduce the Sim-to-Real gap
During my PhD, I did research under the guidance of Professor Dongil Kwon in the Department of Materials Science and Engineering at Seoul National University. I mainly studied instrumented indentation technique to evaluate the mechanical properties of materials. My dissertation is about evaluating the surface residual stresses of material by using indentation technique and digital image correlation method, and a method of evaluating the structural integrity of a component based on fracture mechanics considering the residual stress.
I have many experiences in mechanical testing, nano/micro-fabrication, and finite element analysis. If you are interested in my research or want to discuss with me, please contact me! (Email: jhkim@pknu.ac.kr kjh2677@snu.ac.kr)
Thank you!
Structural metamaterials: 2D nanolattice structure, photophoretic levitation device, ultralight & ultra-stiff structure, thermoelectric device
Mechanical characterization: Indentation with digital image correlation, machine-learning-based algorithm
Structural reliability: Stress-corrosion cracking, environmental effect, thin-film mechanical reliability