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Electrically driven monolithic subwavelength plasmonic interconnect circuits.

Yang Liu1,2, Jiasen Zhang3,4, Huaping Liu4,5

  • 1Key Laboratory for the Physics and Chemistry of Nanodevices and Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.

Science Advances
|October 25, 2017
PubMed
Summary
This summary is machine-generated.

Researchers developed a new plasmonic interconnect circuit using carbon nanotubes. This electrically driven optoelectronic integrated circuit enables faster, smaller, and cheaper computing systems.

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Area of Science:

  • Nanotechnology
  • Optoelectronics
  • Materials Science

Background:

  • The post-Moore era demands compact, powerful, low-power computing systems.
  • Monolithic optoelectronic integrated circuits (OEICs) fabricated from a single material are crucial for this advancement.

Purpose of the Study:

  • To report a novel monolithic plasmonic interconnect circuit (PIC).
  • To demonstrate its fabrication using carbon nanotubes (CNTs) via a CMOS-compatible technique.
  • To explore its potential for next-generation computing.

Main Methods:

  • Fabrication of a PIC comprising photovoltaic cascading detectors, Au-strip waveguides, and electrically driven surface plasmon polariton (SPP) sources.
  • Utilizing a CMOS-compatible, doping-free technique for CNT fabrication at deep-subwavelength scales (~λ/7 to λ/95).
  • Demonstrating chip-scale throughput with a 20 × 20 PIC array on a 10 mm × 10 mm wafer.

Main Results:

  • Successful fabrication of a monolithic PIC from CNTs.
  • Achieved deep-subwavelength feature sizes compatible with advanced semiconductor manufacturing.
  • Demonstrated chip-scale integration and potential for data transport repeaters via photovoltaic operation.
  • Validated chip-scale throughput capability with a 20 × 20 array.

Conclusions:

  • Monolithic integration of photonics and electronics beyond the diffraction limit is achievable.
  • This work opens a new era of nanoscale electronic-photonic systems.
  • Paves the way for faster, smaller, and cheaper computing frameworks.