神经形态工程学
材料科学
热离子发射
晶体管
记忆电阻器
光电子学
量子隧道
阈下摆动
频道(广播)
纳米电子学
门控
纳米技术
场效应晶体管
电子工程
电压
电气工程
计算机科学
物理
电子
人工神经网络
生理学
生物
工程类
机器学习
量子力学
作者
Yonas Assefa Eshete,Eunji Hwang,Hak Jun Kim,Phuong Lien Nguyen,Woo Jong Yu,Bai Sun Kong,Min Seok Jang,Jaekwang Lee,Suyeon Cho,Heejun Yang
标识
DOI:10.1002/adma.202209089
摘要
Modulating semiconducting channel potential has been used for electrical switching in transistors without biological plasticity operations that are critical for energy-efficient neuromorphic computing. To achieve efficient data processing, alternative transport mechanisms, such as tunneling and thermionic emission, have been introduced with 2D materials. Here, a polymorphic memtransistor based on atomically thin Mo0.91 W0.09 Te2 is presented, where the lattice and electronic structures of the lateral device channel can be tuned as either metallic (1T') or semiconducting (2H) phases by electrical gating. The structural and electronic phase change of the channel material, optimized in Mo0.91 W0.09 Te2 , is explored using transport and optical measurements at the device scale. Based on the phase transition, the polymorphic memtransistor demonstrates a high on/off ratio (up to 105 ), low subthreshold swing (down to 80 mV dec-1 ), and various memristive behaviors, which are distinguished from traditional phase-change memory, transistors, and passive memristors for diverse neuromorphic and in-memory computing.
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