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A microprocessor based on a two-dimensional semiconductor

Author

Listed:
  • Stefan Wachter

    (Institute of Photonics, Vienna University of Technology)

  • Dmitry K. Polyushkin

    (Institute of Photonics, Vienna University of Technology)

  • Ole Bethge

    (Institute of Solid State Electronics, Vienna University of Technology)

  • Thomas Mueller

    (Institute of Photonics, Vienna University of Technology)

Abstract

The advent of microcomputers in the 1970s has dramatically changed our society. Since then, microprocessors have been made almost exclusively from silicon, but the ever-increasing demand for higher integration density and speed, lower power consumption and better integrability with everyday goods has prompted the search for alternatives. Germanium and III–V compound semiconductors are being considered promising candidates for future high-performance processor generations and chips based on thin-film plastic technology or carbon nanotubes could allow for embedding electronic intelligence into arbitrary objects for the Internet-of-Things. Here, we present a 1-bit implementation of a microprocessor using a two-dimensional semiconductor—molybdenum disulfide. The device can execute user-defined programs stored in an external memory, perform logical operations and communicate with its periphery. Our 1-bit design is readily scalable to multi-bit data. The device consists of 115 transistors and constitutes the most complex circuitry so far made from a two-dimensional material.

Suggested Citation

  • Stefan Wachter & Dmitry K. Polyushkin & Ole Bethge & Thomas Mueller, 2017. "A microprocessor based on a two-dimensional semiconductor," Nature Communications, Nature, vol. 8(1), pages 1-6, April.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14948
    DOI: 10.1038/ncomms14948
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    Cited by:

    1. Yikai Zheng & Harikrishnan Ravichandran & Thomas F. Schranghamer & Nicholas Trainor & Joan M. Redwing & Saptarshi Das, 2022. "Hardware implementation of Bayesian network based on two-dimensional memtransistors," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Maosong Xie & Yueyang Jia & Chen Nie & Zuheng Liu & Alvin Tang & Shiquan Fan & Xiaoyao Liang & Li Jiang & Zhezhi He & Rui Yang, 2023. "Monolithic 3D integration of 2D transistors and vertical RRAMs in 1T–4R structure for high-density memory," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Akhil Dodda & Nicholas Trainor & Joan. M. Redwing & Saptarshi Das, 2022. "All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Xinyu Chen & Yufeng Xie & Yaochen Sheng & Hongwei Tang & Zeming Wang & Yu Wang & Yin Wang & Fuyou Liao & Jingyi Ma & Xiaojiao Guo & Ling Tong & Hanqi Liu & Hao Liu & Tianxiang Wu & Jiaxin Cao & Sitong, 2021. "Wafer-scale functional circuits based on two dimensional semiconductors with fabrication optimized by machine learning," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    5. Silvia Conti & Lorenzo Pimpolari & Gabriele Calabrese & Robyn Worsley & Subimal Majee & Dmitry K. Polyushkin & Matthias Paur & Simona Pace & Dong Hoon Keum & Filippo Fabbri & Giuseppe Iannaccone & Mas, 2020. "Low-voltage 2D materials-based printed field-effect transistors for integrated digital and analog electronics on paper," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    6. Senfeng Zeng & Chunsen Liu & Xiaohe Huang & Zhaowu Tang & Liwei Liu & Peng Zhou, 2022. "An application-specific image processing array based on WSe2 transistors with electrically switchable logic functions," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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