Scalable Ternary Logic Device Based on TeOx/IGTO Heterojunction Transistor
Source abstract
Abstract
Abstract In today's era of rapid data proliferation, interconnect bottlenecks pose major challenges for conventional binary computing systems. These challenges encompass not only managing vast data volumes but also the substantial power consumption associated with data processing. To address these limitations, ternary logic systems have attracted considerable interest due to their capability to process information at higher densities within the same physical footprint compared to binary logic systems. Here, scalable ternary logic devices are demonstrated that are fully compatible with complementary‐metal‐oxide‐semiconductor (CMOS) technology. These devices are based on p‐n heterojunction thin‐film transistors (TFTs) composed of InGaSnO and TeO X , fabricated using a low processing temperature of 150 °C. The resulting heterojunction TFTs exhibit highly reproducible negative differential transconductance behavior with a peak‐to‐valley current ratio exceeding 10 3 . By monolithically integrating these high‐performance p‐n heterojunction TFTs with p‐channel TeO X TFTs, ternary logic devices are demonstrated. The optimized device architecture facilitates sophisticated transconductance matching, enabling the realization of a stable intermediate logic state. The use of low‐temperature, CMOS‐compatible processes ensures scalability and industrial compatibility, highlighting oxide semiconductors as a compelling material platform for next‐generation ternary logic technologies. This work is a pivotal advancement toward energy‐efficient, high‐density ternary systems, paving the way for transformative computational paradigms.
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Thin-Film Transistor Technologies · Semiconductor materials and devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Display Science and Engineering Hanyang University Seoul 04763 Republic of Korea
Division of Nanoscale Semiconductor Engineering Hanyang University Seoul 04763 Republic of Korea
Department of Artificial Intelligence Semiconductor Engineering Hanyang University Seoul 04763 Republic of Korea
Department of Electrical Engineering Stanford University Stanford CA 94305 USA
Department of Chemistry Hanyang University Seoul 04763 Republic of Korea
Funding
National Research Foundation of Korea
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