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Additively manufacturable micro-mechanical logic gates

Author

Listed:
  • Yuanping Song

    (University of California, Los Angeles)

  • Robert M. Panas

    (Lawrence Livermore National Laboratory)

  • Samira Chizari

    (University of California, Los Angeles)

  • Lucas A. Shaw

    (University of California, Los Angeles)

  • Julie A. Jackson

    (Lawrence Livermore National Laboratory)

  • Jonathan B. Hopkins

    (University of California, Los Angeles)

  • Andrew J. Pascall

    (Lawrence Livermore National Laboratory)

Abstract

Early examples of computers were almost exclusively based on mechanical devices. Although electronic computers became dominant in the past 60 years, recent advancements in three-dimensional micro-additive manufacturing technology provide new fabrication techniques for complex microstructures which have rekindled research interest in mechanical computations. Here we propose a new digital mechanical computation approach based on additively-manufacturable micro-mechanical logic gates. The proposed mechanical logic gates (i.e., NOT, AND, OR, NAND, and NOR gates) utilize multi-stable micro-flexures that buckle to perform Boolean computations based purely on mechanical forces and displacements with no electronic components. A key benefit of the proposed approach is that such systems can be additively fabricated as embedded parts of microarchitected metamaterials that are capable of interacting mechanically with their surrounding environment while processing and storing digital data internally without requiring electric power.

Suggested Citation

  • Yuanping Song & Robert M. Panas & Samira Chizari & Lucas A. Shaw & Julie A. Jackson & Jonathan B. Hopkins & Andrew J. Pascall, 2019. "Additively manufacturable micro-mechanical logic gates," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-08678-0
    DOI: 10.1038/s41467-019-08678-0
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    Citations

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    Cited by:

    1. Tie Mei & Zhiqiang Meng & Kejie Zhao & Chang Qing Chen, 2021. "A mechanical metamaterial with reprogrammable logical functions," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    2. Junghwan Byun & Aniket Pal & Jongkuk Ko & Metin Sitti, 2024. "Integrated mechanical computing for autonomous soft machines," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Wenzhong Yan & Shuguang Li & Mauricio Deguchi & Zhaoliang Zheng & Daniela Rus & Ankur Mehta, 2023. "Origami-based integration of robots that sense, decide, and respond," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Lorenzo Castelli & Qing Zhu & Trevor J. Shimokusu & Geoff Wehmeyer, 2023. "A three-terminal magnetic thermal transistor," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Tie Mei & Chang Qing Chen, 2023. "In-memory mechanical computing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Amin Farzaneh & Nikhil Pawar & Carlos M. Portela & Jonathan B. Hopkins, 2022. "Sequential metamaterials with alternating Poisson’s ratios," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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