Filled Carbon Nanotube Ternary Transistors
@s-SWCNT), in which carrier concentration can be dynamically modulated under an applied electric field. Transistors based on this platform validate that this electric-field-controlled modulation yields three well-defined logic states: 0, 1, and 2. These transistors demonstrate good uniformity and stable operation, showing a static power consumption of 8.2 pW and dynamic power consumption of 0.31 nJ (state 0 to 1) and 0.35 µJ (state 1 to 2). The ternary inverter based on this heterostructure exhibits rail-to-rail output capability, enabling the accurate execution of MVL operations. Ternary weight networks (TWNs) built with these transistors reduce computational complexity and storage, enabling efficient neuromorphic computing.
Authors
- Mario Lanza (ORCID: https://orcid.org/0000-0003-4756-8632)
- Zongjie Shen (ORCID: https://orcid.org/0000-0002-7196-809X)
- Kunjie Wang
- Jian Yao
- Qinan Wang
- Pin Zhao
- Lin Geng
- Chun Zhao
- Yu Teng
- Yanyan Zhao
Institutions
- University of Science and Technology of China (CN)
- National University of Singapore (SG)
- Suzhou Institute of Nano-tech and Nano-bionics (CN)
- Xi’an Jiaotong-Liverpool University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2026-04-03
- DOI
- https://doi.org/10.1002/adma.202523297
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation Singapore
- National Natural Science Foundation of China