A Polymorphic Memtransistor with Tunable Metallic and Semiconducting Channel. Issue 15 (3rd March 2023)

• Record Type: Journal Article
• Authors: Eshete, Yonas Assefa; Hwang, Eunji; Kim, Junhyung; Nguyen, Phuong Lien; Yu, Woo Jong; Kong, Bai Sun; Jang, Min Seok; Lee, Jaekwang; Cho, Suyeon; Yang, Heejun
• Is Part Of: Advanced materials. Volume 35:Issue 15(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2023-03-03
• Subjects: alloys -- in‐memory computing -- memtransistors -- phase transitions -- polymorphism; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202209089
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract: 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 10 5 ), 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. Abstract : A polymorphic memtransistor based on atomically thin Mo0.91 W0.09 Te2 is achieved, where the lateral device channel can be tuned as metallic and semiconducting for diverse neuromorphic and in‐memory computing.