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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
Shujing Jia1,2,3, Huanglong Li4,5, Tamihiro Gotoh6
1State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Micro-System and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Researchers developed an eco-friendly germanium sulfide (GeS) selector device for advanced memory systems. This novel selector offers high current density and nonlinearity, overcoming limitations of current technologies.
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