journal article·2025-12-16

Dynamic-Depleted Transistor Empowering Logic-in-Coding Computing

Hang Zhao, Wenhui Tang, Xiaofu Wei, Li Gao, Mengyu Hong, Huihui Yu, Qinghua Zhang, Lin Gu, Zhihong Cao, Xiankun Zhang, Zheng Zhang, Yue Zhang

ACS Nano· Volume 19· Issue 49
Publisher page

Abstract

High Resolution Image Download MS PowerPoint Slide Reconfigurable transistors are crucial for the development of high-computing-power and highly flexible logic circuits. However, conventional reconfigurable transistors, which operate in either partially depleted or fully depleted states, are limited to basic logic functions. This often requires additional circuits to switch functions, resulting in circuit redundancy and high-power consumption. Here, we propose a dynamic-depletion transistor architecture that realizes the five reconfigurable logic functions through electrostatic modulation of carrier depletion profiles. By precisely regulating the electrostatic potential of the control gate, the spatial distribution of charge carriers within the two-dimensional (2D) channel can be precisely tailored. This modulation effectively screens the electrostatic fields of other gates, thereby enabling transitions between fully depleted and partially depleted states within the same device. The dynamic switching behavior of the depletion state in the 2D WSe 2 transistor enables up to five functional integrations. Furthermore, these circuits can represent standard digital functions through inverse and additive reconfigurable logic operations, utilizing only 40 and 25% of the transistor count compared with complementary metal oxide semiconductor circuits. Building on this architecture, the designed circuit can be extended to implement a suite of reconfigurable digital image processing tasks, demonstrating a proof-of-concept for designing low-integration yet high-computing-power RLCs.
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Research context

OpenAlex topics: Ferroelectric and Negative Capacitance Devices · Advanced Memory and Neural Computing · 2D Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Academy for Advanced Interdisciplinary Science and Technology, Key Laboratory of Advanced Materials and Devices for Post-Moore Chips Ministry of Education, State Key Laboratory for Advanced Metals and Materials

University of Science and Technology Beijing

Future Chip Materials & Technology Innovation Center, School of Future Technology, School of Materials Science and Engineering, Beijing Key Laboratory for Advanced Energy Materials and Technologies

Collaborative Innovation Center of Quantum Matter

Beijing National Laboratory for Condensed Matter Physics

Institute of Physics, Chinese Academy of Sciences

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities · Postdoctoral Science Foundation · Young Elite Scientists sponsorship program by CAST · State Key Lab for Advanced Metals and Materials

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