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Related Concept Videos

Light as Energy01:35

Light as Energy

The energy required to carry out photosynthesis is light— typically electromagnetic radiation from the sun. The range of all possible wavelengths is known as the electromagnetic spectrum.
Photons
A photon is a discrete electromagnetic particle or bundle of energy. Photons are characterized by their frequency, wavelength, and amplitude, similar to the properties of a wave. Waves with higher frequencies transmit more energy and have shorter wavelengths than longer wavelengths that transmit less...
Photoelectric Effect02:26

Photoelectric Effect

When light of a particular wavelength strikes a metal surface, electrons are emitted. This is called the photoelectric effect. The minimum frequency of light that can cause such emission of electrons is called the threshold frequency, which is specific to the metal. Light with a frequency lower than the threshold frequency, even if it is of high intensity, cannot initiate the emission of electrons. However, when the frequency is higher than the threshold value, the number of electrons ejected...
Overview of Electron Microscopy01:25

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Overview of Microscopy Techniques01:22

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The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...
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In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...
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Updated: Jun 17, 2026

Quasi-light Storage for Optical Data Packets
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Photonic (computational) memories: tunable nanophotonics for data storage and computing.

Chuanyu Lian1,2, Christos Vagionas3,4, Theonitsa Alexoudi3,4

  • 1Department of Materials Science & Engineering, University of Maryland, College Park, MD, USA.

Nanophotonics (Berlin, Germany)
|December 5, 2024
PubMed
Summary

Emerging nanophotonic devices offer potential solutions to overcome the limitations of traditional computing architectures. These optically readable memories are key to developing energy-efficient, high-bandwidth data processing for AI and deep learning applications.

Keywords:
optoelectronicsphotonic computingphotonic memorytunable nanophotonics

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Area of Science:

  • Photonics and Nanotechnology
  • Computer Architecture
  • Data Storage and Processing

Background:

  • Exponential data growth and computational demands necessitate alternatives to the von Neumann architecture.
  • Traditional electronic computing faces limitations in energy efficiency and processing speed due to Joule heating.
  • Optical domain advancements offer potential for faster, more energy-efficient data processing.

Purpose of the Study:

  • To review emerging nanophotonic devices with memory capabilities.
  • To elaborate on the tunable mechanisms of these photonic memory devices.
  • To evaluate device scalability and performance for future optical computing architectures.

Main Methods:

  • Review of recent scientific literature on nanophotonic devices and optical computing.
  • Analysis of tunable mechanisms in optically readable memory devices.
  • Evaluation of device scalability and performance metrics for photonic memory arrays.

Main Results:

  • Nanophotonic devices show promise for on-chip optically readable memories.
  • These devices leverage tunable mechanisms for memory functions.
  • Photonic memories offer ultrahigh bandwidth suitable for unconventional computing.

Conclusions:

  • Emerging nanophotonic devices are crucial for overcoming the von Neumann bottleneck.
  • Photonic integrated circuits and nano-materials enable new on-chip memory opportunities.
  • Progress in photonic memory performance is driving advancements in large-scale optical computing architectures.