Understanding pattern formation and ultrafast dynamics in chip-scale nonlinear oscillators: from fundamental
Abstract
Chip-scale highly nonlinear optical oscillators spanning over hundreds to thousands of coupled frequency modes provide a fertile ground for understanding pattern formation and ultrafast dynamics. At the same time, they have potential impact on Navy applications involving chip-scale fundamental optical clocks for timing, to ultrafast chaos generation for secure communications. In this renewal program we propose experimental efforts in the solid-state generation of Turing roll frequency comb patterns (Task I.A), multi-soliton dynamics and coherent dispersive wave interactions (Task I.B), and ultrafast chaos formation (Task I.C) towards foundational understanding of the nonlinear oscillators, supported by our theory and numerical modeling. This involve examining the coherence of the near-perfect Turing structures, the precision laser-cavity detuning in driving different symmetric and asymmetric modes, and the dynamical pattern fluctuations in the presence of noise. Furthermore, second-harmonic optical gating will be examined to determine the absolute multi-soliton acceleration on-chip in the presence of coherent dispersive wave radiation, in addition to Ikeda analysis and chaotic states measurements. These frequency modes and patterns serve as the basis to examine stable mode-locked states, synthesized coherently to form sub-cycle few-femtosecond pulses (Task II.A), supported by our ultrafast optical-to-microwave measurement capabilities. Theory, numerical modeling, and nanofabrication support our key measurements. Real-time parametric spatio-temporal mapping is examined (Task II.B) for single shot measurements of pulse-to-pulse soliton-to-soliton dynamical fluctuations, involving unique attractors and synchronization. Our silicon-based nonlinear oscillators provide a platform for ultrafast field and waves physics and chip-scale optoelectronics.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 10, 2016
- Source ID
- N000141612094
Entities
People
- Chee Wei Wong
Organizations
- Office of Naval Research
- United States Navy
- University of California, Los Angeles