Wafer‐Scale 3D Integration for High‐Density Multi‐Valued Neuromorphic Logic

As conventional transistor scaling approaches fundamental limits, multi-valued logic (MVL) has emerged as a promising strategy to enhance information density and reduce circuit complexity beyond binary complementary metal-oxide-semiconductor (CMOS) technology. Here, we present a monolithic three-dimensional (3D) vertically stacked MVL architecture based on a tellurium (Te)/indium-gallium-zinc-oxide (IGZO) heterojunction field-effect transistor (H-FET) integrated with a crystallinity-enhanced Te field-effect transistor (CE-Te FET). Engineered interfacial band alignment in the H-FET induces carrier confinement and gate-tunable electron-dominated transport, enabling intrinsic ternary switching through controlled current modulation. Complementary channel engineering of the CE-Te FET via oxidation and crystallinity recovery suppresses off-state leakage and optimizes transconductance matching, stabilizing the intermediate logic state. Using low-temperature CMOS-compatible processes, we realize wafer-scale vertically stacked ternary circuits exhibiting robust three-level operation, high uniformity, and long-term stability. System-level analysis reveals substantial gains in logic density and area efficiency enabled by H-FET-assisted 3D integration. Furthermore, the ternary voltage characteristics are directly mapped to ternary weight neural networks, enabling high-accuracy handwritten digit classification. This scalable inorganic 3D MVL platform establishes a practical pathway toward high-density logic and multi-valued neuromorphic computing architectures beyond conventional binary planar scaling.

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Publication Details

Journal
Advanced Science
Published
2026-08-25
DOI
https://doi.org/10.1002/advs.77437
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Wafer‐Scale 3D Integration for High‐Density Multi‐Valued Neuromorphic Logic

Ick-Joon Park, Tae In Kim, Joong Bum Rhim, Hyuck‐In Kwon et al.
Advanced Science
Advanced Memory and Neural Computing
article

Wafer‐Scale 3D Integration for High‐Density Multi‐Valued Neuromorphic Logic

Ick-Joon Park, Tae In Kim, Joong Bum Rhim, Hyuck‐In Kwon, Chang-Hyeon Kim, Min Seok Kim
article en

Abstract

As conventional transistor scaling approaches fundamental limits, multi-valued logic (MVL) has emerged as a promising strategy to enhance information density and reduce circuit complexity beyond binary complementary metal-oxide-semiconductor (CMOS) technology. Here, we present a monolithic three-dimensional (3D) vertically stacked MVL architecture based on a tellurium (Te)/indium-gallium-zinc-oxide (IGZO) heterojunction field-effect transistor (H-FET) integrated with a crystallinity-enhanced Te field-effect transistor (CE-Te FET). Engineered interfacial band alignment in the H-FET induces carrier confinement and gate-tunable electron-dominated transport, enabling intrinsic ternary switching through controlled current modulation. Complementary channel engineering of the CE-Te FET via oxidation and crystallinity recovery suppresses off-state leakage and optimizes transconductance matching, stabilizing the intermediate logic state. Using low-temperature CMOS-compatible processes, we realize wafer-scale vertically stacked ternary circuits exhibiting robust three-level operation, high uniformity, and long-term stability. System-level analysis reveals substantial gains in logic density and area efficiency enabled by H-FET-assisted 3D integration. Furthermore, the ternary voltage characteristics are directly mapped to ternary weight neural networks, enabling high-accuracy handwritten digit classification. This scalable inorganic 3D MVL platform establishes a practical pathway toward high-density logic and multi-valued neuromorphic computing architectures beyond conventional binary planar scaling.

Advanced Science
Inha University (KR), Hansung University (KR), Massachusetts Institute of Technology (US), Chung-Ang University (KR)
National Research Foundation, Hansung University, Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 19%
Advanced Memory and Neural Computing
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