A5046243722- Digital Mental Health Interventions
- Advancements in Battery Materials
- AI in Service Interactions
- Advanced Battery Technologies Research
- Cardiac Ischemia and Reperfusion
- Silicon Carbide Semiconductor Technologies
- Cardiac Imaging and Diagnostics
- Semiconductor materials and devices
- Electric Vehicles and Infrastructure
- Coronary Interventions and Diagnostics
- Advancements in Semiconductor Devices and Circuit Design
Seojeong University
2024
Samsung (South Korea)
2018
As the most feasible solution beyond FinFET technology, a gate-all-around Multi-Bridge-Channel MOSFET (MBCFET) technology is successfully demonstrated including fully working high density SRAM. MBCFETs are fabricated using 90% or more of processes with only few revised masks, allowing easy migration from process. Not on-target but also multiple Vt achieved in challengingly limited vertical spacing between channels. Also, reliability shown to be comparable that FinFETs. Three representative...
For the purpose of predicting state health already used lithium-ion batteries from 85 kWh electric vehicles, a simplified equivalent circuit model is utilized to estimate electrochemical time constant current discharge profiles. The grading process among as-obtained LIB cells classified into three level types according remaining capacity and direct resistance. Theoretically, logarithmic equation describing cycling behavior derived in prediction cells. After selection obtained best-fitting...