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Related Concept Videos

Design Example01:23

Design Example

359
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
359
Active Filters01:25

Active Filters

909
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
909

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Related Experiment Video

Updated: Aug 25, 2025

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Design of All-Dielectric Metasurface-Based Subtractive Color Filter by Artificial Neural Network.

Jinhao Wang1,2, Zichun Lin1,2, Ye Fan1,2

  • 1School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai 519082, China.

Materials (Basel, Switzerland)
|October 14, 2022
PubMed
Summary

This study demonstrates a metasurface-based subtractive color filter (SCF) for structural colors. Artificial neural networks, particularly Long Short-Term Memory (LSTM), efficiently predict and design meta-atom parameters for versatile color displays.

Keywords:
artificial neural networklong short-term memorymeta-atommetasurfacemultilayer perceptronstructural colorsubtractive color filter

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Area of Science:

  • Optics and Photonics
  • Materials Science
  • Nanotechnology

Background:

  • Structural colors, derived from subwavelength light manipulation, are a key area of research.
  • Metasurfaces offer precise control over light-matter interactions for advanced optical functionalities.

Purpose of the Study:

  • To demonstrate a metasurface-based subtractive color filter (SCF).
  • To utilize artificial neural networks (ANNs) for efficient metasurface design and parameter prediction.
  • To achieve versatile structural color displays for various applications.

Main Methods:

  • Fabrication and characterization of a metasurface-based subtractive color filter.
  • Implementation of two artificial neural network models: multilayer perceptron (MLP) and long short-term memory (LSTM) for forward prediction.
  • Training an inverse ANN model based on LSTM to optimize meta-atom geometric parameters.

Main Results:

  • The SCF demonstrated effective color filtering, confirmed by complementary color analysis.
  • LSTM significantly outperformed MLP in metasurface forward prediction accuracy.
  • The inverse LSTM model successfully recovered optimal geometric parameters for diverse structural color generation.
  • The proposed metasurface achieved high-performance transmissive structural color in the visible spectrum.

Conclusions:

  • Metasurface-based SCFs offer a viable platform for structural color generation.
  • ANNs, especially LSTM, provide efficient methods for accelerating metasurface design and parameter optimization.
  • This work enables advanced nanostructure-based color design for display and anticounterfeiting technologies.