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Related Concept Videos

Types of Semiconductors01:20

Types of Semiconductors

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Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
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Semiconductors01:22

Semiconductors

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There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
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Non-ohmic Devices00:51

Non-ohmic Devices

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In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
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Types Of Superconductors01:28

Types Of Superconductors

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A superconductor is a substance that offers zero resistance to the electric current when it drops below a critical temperature. Zero resistance is not the only interesting phenomenon as materials reach their transition temperatures. A second effect is the exclusion of magnetic fields. This is known as the Meissner effect. A light, permanent magnet placed over a superconducting sample will levitate in a stable position above the superconductor. High-speed trains that levitate on strong...
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Biasing of Metal-Semiconductor Junctions01:27

Biasing of Metal-Semiconductor Junctions

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Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...
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The Role of Ion Channels in Neuronal Computation01:19

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A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
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Updated: Oct 19, 2025

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Considerations for Neuromorphic Supercomputing in Semiconducting and Superconducting Optoelectronic Hardware.

Bryce A Primavera1,2, Jeffrey M Shainline1

  • 1National Institute of Standards and Technology, Boulder, CO, United States.

Frontiers in Neuroscience
|September 23, 2021
PubMed
Summary

Future neuromorphic systems require co-optimized optoelectronic platforms for communication and computation. Two paths, semiconductor and superconducting, are explored for large-scale brain-inspired computing.

Keywords:
large-scale computing systemsneuromorphicoptoelectronicphotonicsspiking networksuperconducting electronics

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Area of Science:

  • Neuromorphic Engineering
  • Integrated Photonics
  • Optoelectronics

Background:

  • Large-scale neuromorphic systems demand integrated communication and computation.
  • Optoelectronic platforms leverage optics and electronics for advanced functionalities.

Purpose of the Study:

  • To propose and evaluate optoelectronic neuromorphic platforms for brain-level complexity.
  • To explore semiconductor and superconducting approaches for future neuromorphic systems.

Main Methods:

  • Considered semiconductor (CMOS, photodiodes) and superconducting (Josephson junctions, SPDs) platforms.
  • Assessed device availability, scaling potential, key metrics, and demonstrations for each approach.

Main Results:

  • Both semiconductor and superconducting platforms show potential but face distinct challenges.
  • Semiconductor systems require large-scale light source integration and advanced photodiodes.
  • Superconducting systems offer low light source burden but need improved interfacing and fabrication.

Conclusions:

  • Optically-enhanced neuromorphic computing presents viable pathways via semiconductor and superconducting technologies.
  • Development of these platforms will require addressing specific technological hurdles in fabrication, integration, and infrastructure.