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Related Concept Videos

P-N junction01:11

P-N junction

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A p-n junction is formed when p-type and n-type semiconductor materials are joined together. At the interface of the p-n junction, holes from the p-side and electrons from the n-side begin to diffuse into the opposite sides due to the concentration gradient. This diffusion of carriers leads to a region around the junction where there are no free charge carriers, known as the depletion region. The charge density within the depletion region for the n-side and p-side can be described by the...
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Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
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Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
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All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics
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Single-Electron Tunneling PbS/InP Heterostructure Nanoplatelets for Synaptic Operations.

Paulo Jarschel1,2,3, Jin Ho Kim1, Louis Biadala4

  • 1School of Engineering, Brown University, Providence 02912, Rhode Island, United States.

ACS Applied Materials & Interfaces
|August 6, 2021
PubMed
Summary

Researchers explored single-electron tunneling (SET) in lead sulfide (PbS) nanoplatelets for neuromorphic computing. This technology offers low-energy, high-speed operation, making it suitable for future computing building blocks.

Keywords:
InPPbSbrain-inspired computingnanoplateletsneuromorphicscanning tunneling spectroscopysingle-electron tunnelingsynapse

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Computer Engineering

Background:

  • Traditional computing faces challenges in power consumption, thermal management, and wiring complexity.
  • Neuromorphic computing aims to mimic brain functionalities for energy-efficient processing.
  • Non-linear responses and plasticity are key features for mimicking neurons.

Purpose of the Study:

  • To investigate the potential of single-electron tunneling (SET) in PbS nanoplatelets for neuromorphic computing applications.
  • To demonstrate that PbS/InP nanoplatelets exhibit essential features for neuromorphic functionalities.
  • To model synaptic operations based on experimental SET data.

Main Methods:

  • Epitaxial growth of PbS nanoplatelets on InP in liquid phase.
  • Experimental characterization in the single-electron tunneling (SET) regime.
  • Extrapolation of experimental data to predict and model synaptic operations.

Main Results:

  • PbS/InP nanoplatelets demonstrate key features for neuromorphic computing.
  • Experimental data in the SET regime were extrapolated to model synaptic operations.
  • The nanoscale system exhibits low-energy (

Conclusions:

  • PbS/InP nanoplatelets are a promising material system for neuromorphic computing.
  • The scalable fabrication process and performance metrics make them attractive building blocks.
  • This research paves the way for energy-efficient, brain-inspired computing architectures.