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Issues of nanoelectronics: a possible roadmap.

Kang L Wang1

  • 1Department of Electrical Engineering, University of California, Los Angeles, California 90095, USA.

Journal of Nanoscience and Nanotechnology
|August 12, 2003
PubMed
Summary
This summary is machine-generated.

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This review outlines a roadmap for scaling nanoelectronic devices beyond current complementary metal-oxide-semiconductor (CMOS) limits, exploring advanced structures and quantum computing for future functionality. Challenges in self-assembly and interconnects for single-electron devices are also addressed.

Area of Science:

  • Nanoelectronics
  • Solid-state physics
  • Quantum computing

Background:

  • Current complementary metal-oxide-semiconductor (CMOS) technology faces limitations like short channel effects and power dissipation.
  • Advanced structures (e.g., double gate, vertical surround gate) and materials (e.g., SiGe, Schottky) are explored to improve CMOS performance.
  • Scaling challenges include tunneling currents, self-assembly processing, and interconnect bottlenecks for high-density circuits.

Purpose of the Study:

  • To present a roadmap for scaling nanoelectronic devices towards their ultimate physical limits.
  • To investigate alternative device structures and approaches, including single-electron devices and quantum computing.
  • To review current state-of-the-art techniques and identify challenges in achieving atomic-scale electronics.

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Main Methods:

  • Reviewing advanced CMOS structures and materials for improved gate control and reduced short channel effects.
  • Exploring top-down and bottom-up fabrication approaches, including self-assembly for nanometer and atomic scales.
  • Analyzing the principles and potential solid-state implementations of single-electron devices and quantum computing using electron and nuclear spins.

Main Results:

  • Advanced structures and materials show promise for extending CMOS capabilities.
  • Single-electron devices offer potential for room-temperature operation if thermal energy is overcome by Coulomb energy.
  • Quantum computing, utilizing qubits and entanglement, presents a path towards massive parallelism.

Conclusions:

  • Significant challenges remain in fabricating devices at the atomic scale and managing interconnects for high-density circuits.
  • Novel architectures like cellular automata and neural networks may be necessary for future nanoelectronic systems.
  • Quantum information processing using solid-state systems in Group IV elements holds substantial potential for future computing paradigms.