Scientists at the National College of Singapore (NUS) have actually produced ultra-thin memtransistor selections from two-dimensional (2D) shift steel dichalcogenide (TMDC) with controlled Schottky obstacles. These selections are extremely consistent, showing reduced device-to-device variant and offer high efficiency for photo acknowledgment jobs.
发布者：Dr.Durant，转转请注明出处：https://robotalks.cn/scalable-memtransistor-arrays-show-potential-for-energy-efficient-artificial-neural-networks/
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