Reconfigurable Flexible Complementary Circuits Based on Polarity-Configurable Carbon Nanotube Transistors
Source abstract
Abstract
Functional configurability is highly desired for flexible electronics to serve ever-changing and diverse application scenarios. In complementary metal–oxide–semiconductor (CMOS) logic circuits, functional configurations can be achieved at the most basic device level by modulating the P/N polarity of the field-effect transistors. The intrinsic ambipolarity of low-dimensional materials provides the possibility of configuring the polarity of the constructed transistors by selectively injecting carriers on demand with proper methodologies. In this study, we propose a strategy based on carbon nanotubes (CNTs), with the initial devices functioning as conventional p-type thin film transistors (TFTs), that achieves polarity configuration through reversible electrostatic doping by applying and removing a polymer doping layer on the channel area covered with a Y 2 O 3 passivation layer. This method exhibits favorable characteristics, including high performance comparable to those of conventional devices under normal operation conditions, good P/N symmetry, large-scale uniformity, nonvolatile features, and robust stability. The resultant configurable TFTs facilitate the construction of a CMOS inverter with a rail-to-rail output and a high voltage gain exceeding 40. Basic circuit components such as diodes, rectifiers, and logic gates are constructed with reconfigurable functionalities. To illustrate its potential, we designed a reconfigurable CMOS circuit module that can be optionally programmed into four different functions─NAND, NOR, XOR, and XNOR, which can serve as a building block for constructing more complex reconfigurable integrated circuits, applicable in fields such as hardware security and adaptive monitoring.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Carbon Nanotubes in Composites · Neuroscience and Neural Engineering · Advanced Memory and Neural Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory for the Physics and Chemistry of Nanodevices, Center for Carbon-Based Electronics, School of Electronics
Peking University
Academy for Advanced Interdisciplinary Studies
College of Materials Science and Engineering
Hunan University
Funding
National Key Research and Development Program of China · Peking Nanofab Laboratory
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