Genetic Optimization of Photonic Bandgap Structures

Abstract

We investigate the use of a Genetic Algorithm (GA) to design a set of photonic crystals (PCs) in one and two dimensions. Our flexible design methodology allows us to optimize PC structures for specific objectives. In this paper, we report the results of several such GA-based PC optimizations. We show that the GA performs well even in very complex design spaces, and therefore has great potential as a robust design tool in a range of PC applications.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA485399

Entities

People

  • Dirk Englund
  • Ilya Fushman
  • Jelena Vučković
  • Joel Goh

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Band Gaps
  • Crystals
  • Diagrams
  • Evolutionary Algorithms
  • Frequency
  • Genetic Algorithms
  • Information Systems
  • Optics
  • Optimization
  • Photonic Crystals
  • Quantum Electrodynamics
  • Radiation
  • Refractive Index
  • Semiconductors
  • Solid State Physics
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Space