Monolithic Integration of Carbon Nanotube-Based Complementary Field-Effect Transistors with 3D-Stacked Photodiodes for Unified Sensing and Computing
Carbon nanotubes (CNTs), combining excellent electrical and optoelectronic properties with low-temperature processability, provide a compelling materials platform for monolithic three-dimensional (M3D) integration that unifies digital logic in complementary field-effect transistor (CFET) architecture and functional sensing elements with three-dimensionally structured nondigital functional blocks. However, such a fully integrated system has not yet been experimentally demonstrated. Here, we report CNT-based digital circuits implemented in a true CFET architecture, in which vertically stacked P- and N-FETs share an identical footprint and exhibit well-balanced performance through structural engineering. A full suite of logic functions, including inverters, NOR, OR, NAND, AND gates, as well as a 4-transistor static random-access memory cell and a five-stage ring oscillator are successfully demonstrated. The CFET inverters exhibit rail-to-rail operation with large noise margins and a peak voltage gain of 147 at a supply voltage of 1 V, while maintaining a gain of 9.7 with only 3.3 pW static power consumption at 0.2 V. In parallel, CNT photodiodes are vertically stacked and cascaded to form a 3D optical sensor that delivers nearly twice the photovoltage of planar counterparts. By monolithically integrating the 3D CNT photodiode with a CNT-based CFET inverter, we further demonstrated a prototype "sensing-and-computing" module in which optical power and spectral information are directly sensed and processed within a single monolithic CNT-based block. This work establishes CNTs as a unified platform for high-density, low-power M3D integration toward near-/in-sensor and edge-computing applications.
Authors
- Meiqi Xi
- Xuelei Liang (ORCID: https://orcid.org/0000-0003-3095-0974)
- Xuehao Zhu (ORCID: https://orcid.org/0009-0006-5396-6433)
- Chuanhong Jin (ORCID: https://orcid.org/0000-0001-8845-5664)
- Guanhua Long
- Lian‐Mao Peng (ORCID: https://orcid.org/0000-0003-0754-074X)
- Xiao Luo (ORCID: https://orcid.org/0000-0002-0431-7924)
- Qi Li (ORCID: https://orcid.org/0000-0001-8776-8730)
- Sheng Wang (ORCID: https://orcid.org/0000-0003-2605-2768)
- Yu Cao (ORCID: https://orcid.org/0000-0001-9737-7741)
- Yuanhao Kou
- Haoyun Liu
- Yong Zhang
- Jiahao Zhang
- Lan Bai
- Haoyu Zhang
Institutions
- Shanxi University (CN)
- Peking University (CN)
- Robotics Research (United States) (US)
- Division of Materials Science and Engineering (AU)
- Thinfilm (Sweden) (SE)
- Shanxi University of Traditional Chinese Medicine (CN)
- Advanced Materials and Devices (United States) (US)
- ASM International (Finland) (FI)
- Nano Carbon (Poland) (PL)
- Zhejiang University (CN)
Publication Details
- Journal
- ACS Nano
- Published
- 2026-06-17
- DOI
- https://doi.org/10.1021/acsnano.6c04995
- Primary Topic
- Carbon Nanotubes in Composites
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- National Key Research and Development Program of China