相关实验视频
Updated: Aug 13, 2026

07:28
Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
Published on: August 30, 2012
概括
一个新的z形布拉格格波器实现了83dB的灭绝比,抑制了量子光子学和光学通信的强场. 这种紧的高排斥过器非常适合先进的光子应用.
科学领域:
- 光子学是指光子学的使用方法.
- 量子光学是一种量子光学.
- 光学工程是指光学工程.
背景情况:
- 超高排斥光学过器对于隔离量子光子学,非线性光学和通信中的弱信号至关重要.
- 布拉格格提供紧性和CMOS兼容性,但通常受到泄漏噪声的限制,阻碍排斥水平.
研究的目的:
- 开发一种具有显著增强排斥能力的布拉格格过器.
- 为了减轻不需要的模式和散射在芯片上的光学过器.
- 为光子集成提供一个紧而稳定的高排斥过器.
主要方法:
- 设计和制造一个z形布拉格格结构.
- 过器的灭比率和性能的表征.
- 对模式抑制和散射减轻技术的分析.
主要成果:
- 实现了前所未有的83dB的灭绝比率.
- 通过实验验证证明了稳定的高排斥性能.
- 它的z形设计有效地抑制了不需要的模式和散射.
结论:
- Z形布拉格格子过器在光学过器拒绝方面取得了突破.
- 这项技术是集成到量子光子电路和其他先进光子系统的有希望的候选者.
- 过器的性能解决了当前光学过技术的主要局限性.
相关概念视频
Frequency-Domain Interpretation of PD Control
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the system's...
The proportional control gain, combined with the system's...
Time and frequency -Domain Interpretation of PI Control
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires careful...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires careful...
Fast Decoupled and DC Powerflow
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

