Genetic Algorithm for Innovative Device Designs in High-Efficiency III–V Nitride Light-Emitting Diodes
- Rensselaer Polytechnic Inst., Troy, NY (United States). Dept. of Electrical, Computer and Systems Engineering
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Samsung LED, R&D Inst., Suwon (Republic of Korea)
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.
- Research Organization:
- Energy Frontier Research Centers (EFRC); EFRC for Solid State Lighting Science (SSLS)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1065857
- Journal Information:
- Applied Physics Express, Journal Name: Applied Physics Express Journal Issue: 1 Vol. 5; ISSN 1882-0778; ISSN APEPC4
- Publisher:
- Japan Society of Applied Physics
- Country of Publication:
- United States
- Language:
- English
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