MOCVD grown low dislocation density GaAs-on-V-groove patterned (001) Si for 1.3 μ m quantum dot laser applications

Abstract

We report the development of gallium arsenide (GaAs) films grown on V-groove patterned (001) silicon (Si) by metalorganic chemical vapor deposition. This technique can provide an advanced virtual substrate platform for photonic integrated circuits on Si. A low defect density of 9.1 × 106 cm−2 was achieved with the aspect ratio trapping capability of the V-grooved Si and dislocation filtering approaches including thermal cycle annealing and dislocation filter layers. The efficiencies of these dislocation reduction methods are quantified by statistical electron channeling contrast imaging characterization. Meanwhile, different sets of dislocation filtering layers are evaluated and optimized. To further demonstrate the suitability of GaAs on the V-grooved Si technique for Si-based photonic devices, especially for the appealing 1.3 μm quantum dot (QD) lasers, a 7-layer indium arsenide QD structure was grown on both GaAs-on-V-grooved Si and native GaAs substrates. The same photoluminescence intensity and full-width at half-maximum values were observed for both structures. The optimization methodology in this work therefore offers a feasible approach to realize high quality III–V materials on Si for large-scale integration.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 29, 2019
Source ID
10.1063/1.5090437

Entities

People

  • Aidan A. Taylor
  • Bei Shi
  • Bowen Song
  • Hongwei Zhao
  • Jonathan Klamkin
  • Lei Wang
  • Simone Tommaso Šuran Brunelli

Organizations

  • Defense Advanced Research Projects Agency
  • University of California
  • University of California, Santa Barbara

Tags

Fields of Study

  • Materials science

Readers

  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Semiconductor Device Technology

Technology Areas

  • Directed Energy
  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing