Trends in Semiconductor-Machine Learning 2022.2nd sem. #4

Trends in Semiconductor-Machine Learning 2022.2nd sem. #4

Title: Development of next-generation low-dimensional semiconductor-based electronic device/photoelectronic device application Speaker: Dr. Hwang Do-kyung (KIST) 제목 : 차세대 저차원 반도체 기반 전자소자/광전자 소자 응용 개발 연사 : 황도경 박사(KIST)
Trends in Semiconductor-Machine Learning 2022.2nd sem. #6

Trends in Semiconductor-Machine Learning 2022.2nd sem. #6

Title: OLED research using OLED, quantum mechanics, and photoelectron spectroscopy Speaker: Professor Park Yong-seop (Kyung Hee University) 제목 : OLED와 양자역학 그리고 광전자분광을 이용한 OLED 연구 연사 : 박용섭 교수(경희대학교)
Trends in Semiconductor-Machine Learning 2022.2nd sem. #8

Trends in Semiconductor-Machine Learning 2022.2nd sem. #8

Title: Quantitative measurements & applications of disorder in block-copolymer self-assembly patterns (Semiconductor process-oriented, job consulting included, special lecture prepared for interviews of Samsung Electronics and Hynix) Speaker: Professor Kwon Seok-joon…
Trends in Semiconductor-Machine Learning 2022.2nd sem. #12

Trends in Semiconductor-Machine Learning 2022.2nd sem. #12

Title: Analysis of Defects in 2D Nanomaterials with Tip-Enhanced Raman Scattering Speaker: Professor Jeong Moon-seok (Hanyang University) 제목 : Tip-Enhanced Raman 산란을 이용한 2차원 나노소재의 결함해석 연사 : 정문석 교수(한양대학교)