Cityscape on a chip.

June issue now out

This month’s issue features tunable memristors for data processing, perovskite LEDs for fast displays and ingestible devices for gastric electrophysiology, as well as our technology of the year.

Announcements

  • London skyline.

    The IEEE International Electron Devices Meeting (IEDM), which takes place in San Francisco in December, is a key forum for reporting developments in semiconductor and electronic device technology. Here Nature Electronics highlights some of the breakthroughs reported at this year’s meeting.

Nature Electronics is a Transformative Journal; authors can publish using the traditional publishing route OR via immediate gold Open Access.

Our Open Access option complies with funder and institutional requirements.

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  • The three-dimensional integration of electronic and photonic integrated circuits could solve critical input/output limitations in existing computing chips, and create larger, more complex chips for application in future data centres and high-performance systems.

    • Chao Xiang
    • John E. Bowers
    Comment
  • Three-dimensional electronics is our 2024 technology of the year.

    Editorial
  • Two-dimensional (2D) semiconductors could be used to build advanced 3D chips based on monolithic 3D integration. But challenges related to growing single-crystalline materials at low temperatures — as well as enhancing the performance of 2D transistors — need to be addressed first.

    • Kuangye Lu
    • Jaewoo Shim
    • Jeehwan Kim
    Comment
  • Three-dimensional technology — which can offer enhanced integration density and improved data communication — will be required to build large-scale artificial computing systems inspired by the brain.

    • Elisa Vianello
    • Melika Payvand
    Comment

Neuromorphic computing

The rise of machine learning and artificial intelligence is asking questions about what is the best way to build a computer, and approaches that derive inspiration from the brain could provide an answer. Here, in a series of articles, we explore what such neuromorphic computing can do.
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