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Ph.D. Candidates
Ph.D. Candidates
Research Interests
AI-driven multiscale & multiphysics design of Sodium-ion battery system
AI-driven multiscale & multiphysics design of energy harvesting system
Education
2026 B.S., Mechanical Engineering
Publications & Honors
Silica/nano graphene oxide nanocomposites decorated with Au@Ag nanoparticles as surface-enhanced raman scattering tags for highly sensitive quantitative lateral flow immunoassays, Cho-Hee Yang†, Sohyeon Jang†, Seunggyun Byeon†, Jaehi Kim, Hye-Seong Cho, Sungwoo Park, Yoon-Hee Kim, Sung-Kyu Lee, Yeonghee Jeong, Yuna Youn, Hyejin Chang, Homan Kang, Jin-Hyeok Hwang, Jong-chan Lee*, Jihwan Song*, and Bong-Hyun Jun*, Small Structures (IF:8.9, Q1- 20%), 7, 2026.08. [Link].
Data-driven prediction of induced voltage in CT-based magnetic energy harvesting systems considering nonlinear B–H characteristics, Seunggyun Byeon, Minjoong Kim, and Jihwan Song*, Materials (IF:3.7, Q2), 19, 3002, 2026.07. [Link].
M.S. Candiates
M.S. Candiates
Research Interests
AI-driven multiscale & multiphysics design of cell sorting system
Multiscale & multiphysics design of molecular diagnostic system
Education
2026 B.S., Mechanical Engineering
Publications & Honors
Research Interests
Multiscale & multiphysics design of molecular diagnostic system
Education
2026 B.S., Mechanical Engineering
Publications & Honors
URECA Fellows
URECA Fellows
Seongwoo Hong
Undergraduate Intern
Undergraduate Intern
Gayeon You
Minseok Kim
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