Skip to main navigation Skip to search Skip to main content

Genetic algorithm for innovative device designs in high-efficiency III-V nitride light-emitting diodes

  • Di Zhu*
  • , Martin F. Schubert
  • , Jaehee Cho
  • , E. Fred Schubert
  • , Mary H. Crawford
  • , Daniel D. Koleske
  • , Hyunwook Shim
  • , Cheolsoo Sone
  • *Corresponding author for this work
  • Rensselaer Polytechnic Institute
  • Sandia National Laboratories, New Mexico
  • Samsung

Research output: Contribution to journalJournal articlepeer-review

Abstract

Light-emitting diodes are becoming the next-generation light source because of their prominent benefits in energy efficiency, versatility, and benign environmental impact. However, because of the unique polarization effects in III-V nitrides and the high complexity of light-emitting diodes, further breakthroughs towards truly optimized devices are required. Here we introduce the concept of artificial evolution into the device optimization process. Reproduction and selection are accomplished by means of an advanced genetic algorithm and device simulator, respectively. We demonstrate that this approach can lead to new device structures that go beyond conventional approaches. The innovative designs originating from the genetic algorithm and the demonstration of the predicted results by implementing structures suggested by the algorithm establish a new avenue for complex semiconductor device design and optimization.

Original languageEnglish
Article number012102
JournalApplied Physics Express
Volume5
Issue number1
DOIs
StatePublished - 2012.01

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Fingerprint

Dive into the research topics of 'Genetic algorithm for innovative device designs in high-efficiency III-V nitride light-emitting diodes'. Together they form a unique fingerprint.

Cite this