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Modern microprocessor built from complementary carbon nanotube transistors

Author

Listed:
  • Gage Hills

    (Massachusetts Institute of Technology (MIT))

  • Christian Lau

    (Massachusetts Institute of Technology (MIT))

  • Andrew Wright

    (Massachusetts Institute of Technology (MIT))

  • Samuel Fuller

    (Analog Devices, Inc. (ADI))

  • Mindy D. Bishop

    (Massachusetts Institute of Technology (MIT))

  • Tathagata Srimani

    (Massachusetts Institute of Technology (MIT))

  • Pritpal Kanhaiya

    (Massachusetts Institute of Technology (MIT))

  • Rebecca Ho

    (Massachusetts Institute of Technology (MIT))

  • Aya Amer

    (Massachusetts Institute of Technology (MIT))

  • Yosi Stein

    (Analog Devices, Inc. (ADI))

  • Denis Murphy

    (Analog Devices, Inc. (ADI))

  • Arvind

    (Massachusetts Institute of Technology (MIT))

  • Anantha Chandrakasan

    (Massachusetts Institute of Technology (MIT))

  • Max M. Shulaker

    (Massachusetts Institute of Technology (MIT))

Abstract

Electronics is approaching a major paradigm shift because silicon transistor scaling no longer yields historical energy-efficiency benefits, spurring research towards beyond-silicon nanotechnologies. In particular, carbon nanotube field-effect transistor (CNFET)-based digital circuits promise substantial energy-efficiency benefits, but the inability to perfectly control intrinsic nanoscale defects and variability in carbon nanotubes has precluded the realization of very-large-scale integrated systems. Here we overcome these challenges to demonstrate a beyond-silicon microprocessor built entirely from CNFETs. This 16-bit microprocessor is based on the RISC-V instruction set, runs standard 32-bit instructions on 16-bit data and addresses, comprises more than 14,000 complementary metal–oxide–semiconductor CNFETs and is designed and fabricated using industry-standard design flows and processes. We propose a manufacturing methodology for carbon nanotubes, a set of combined processing and design techniques for overcoming nanoscale imperfections at macroscopic scales across full wafer substrates. This work experimentally validates a promising path towards practical beyond-silicon electronic systems.

Suggested Citation

  • Gage Hills & Christian Lau & Andrew Wright & Samuel Fuller & Mindy D. Bishop & Tathagata Srimani & Pritpal Kanhaiya & Rebecca Ho & Aya Amer & Yosi Stein & Denis Murphy & Arvind & Anantha Chandrakasan , 2019. "Modern microprocessor built from complementary carbon nanotube transistors," Nature, Nature, vol. 572(7771), pages 595-602, August.
  • Handle: RePEc:nat:nature:v:572:y:2019:i:7771:d:10.1038_s41586-019-1493-8
    DOI: 10.1038/s41586-019-1493-8
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    Cited by:

    1. Betz, Ulrich A.K. & Arora, Loukik & Assal, Reem A. & Azevedo, Hatylas & Baldwin, Jeremy & Becker, Michael S. & Bostock, Stefan & Cheng, Vinton & Egle, Tobias & Ferrari, Nicola & Schneider-Futschik, El, 2023. "Game changers in science and technology - now and beyond," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Wei Su & Xiao Li & Linhai Li & Dehua Yang & Futian Wang & Xiaojun Wei & Weiya Zhou & Hiromichi Kataura & Sishen Xie & Huaping Liu, 2023. "Chirality-dependent electrical transport properties of carbon nanotubes obtained by experimental measurement," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Yijun Li & Jianshi Tang & Bin Gao & Jian Yao & Anjunyi Fan & Bonan Yan & Yuchao Yang & Yue Xi & Yuankun Li & Jiaming Li & Wen Sun & Yiwei Du & Zhengwu Liu & Qingtian Zhang & Song Qiu & Qingwen Li & He, 2023. "Monolithic three-dimensional integration of RRAM-based hybrid memory architecture for one-shot learning," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    4. Guanhua Long & Wanlin Jin & Fan Xia & Yuru Wang & Tianshun Bai & Xingxing Chen & Xuelei Liang & Lian-Mao Peng & Youfan Hu, 2022. "Carbon nanotube-based flexible high-speed circuits with sub-nanosecond stage delays," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

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