A Practical Implementation of the Ternary Logic Using Memristors and MOSFETs. - Jeonggyu Yang; Hyundong Lee; Jaehoon Jeong; Taehak Kim; Sin-Hyung Lee; Taigon Song (ISMVL, 2021)

Design of Capacitorless DRAM Based on Polycrystalline Silicon Nanotube Structure. - Jin Park; Min Su Cho; Sang Ho Lee 003; Hee Dae An; So Ra Min; Geon Uk Kim; Young Jun Yoon; Jae Hwa Seo; Sin-Hyung Lee; Jaewon Jang; Jin-Hyuk Bae; In Man Kang (IEEE Access, 2021)

A Fast Weight Transfer Method for Real-Time Online Learning in RRAM-Based Neuromorphic System. - Min-Hwi Kim; Sin-Hyung Lee; Sungjun Kim; Byung-Gook Park (IEEE Access, 2022)

Systematic Engineering of Metal Ion Injection in Memristors for Complex Neuromorphic Computing with High Energy Efficiency. - Seong Eun Kim; Min-Hwi Kim; Jisu Jang; Hyungjin Kim; Sungjun Kim; Jaewon Jang; Jin-Hyuk Bae; In Man Kang; Sin-Hyung Lee (Adv. Intell. Syst., 2022)

Circuit-Level Exploration of Ternary Logic Using Memristors and MOSFETs. - Jeonggyu Yang; Hyundong Lee; Jaehoon Jeong; Taehak Kim; Sin-Hyung Lee; Taigon Song (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Biodegradable and Flexible Polymer-Based Memristor Possessing Optimized Synaptic Plasticity for Eco-Friendly Wearable Neural Networks with High Energy Efficiency. - Sungjun Oh; Hyungjin Kim; Seong Eun Kim; Min-Hwi Kim; Hea-Lim Park; Sin-Hyung Lee (Adv. Intell. Syst., 2023)

Filamentary-based organic memristors for wearable neuromorphic computing systems. - Chang-Jae Beak; Jihwan Lee; Junseok Kim; Jiwoo Park; Sin-Hyung Lee (Neuromorph. Comput. Eng., 2024)