首页|New Machine Learning Study Findings Have Been Reported by Researchers at Chinese Academy of Sciences (Machine Learning-based Compact Modeling of Silicon Cold So urce Field-effect Transistors)
New Machine Learning Study Findings Have Been Reported by Researchers at Chinese Academy of Sciences (Machine Learning-based Compact Modeling of Silicon Cold So urce Field-effect Transistors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Beijing, People’s Republic of China , by NewsRx journalists, research stated, “The Silicon cold source field-effect transistor (CSFET) offers a compelling solution for low-power logic devices due to its ability to achieve sub-60 mV/dec steep-slope switching with innovative so urce engineering, while maintaining compatibility with Silicon CMOS technology. Developing a compact model for CSFETs is crucial for advancing our understanding of these novel devices and enabling advanced design and simulation based on CSF ETs.” Funders for this research include Spanish Government, National Natural Science F oundation of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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