Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

P-N junction01:11

P-N junction

1.3K
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...
1.3K
Frequency-dependent Selection01:21

Frequency-dependent Selection

24.1K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
24.1K
The Neuromuscular Junction01:19

The Neuromuscular Junction

19.3K
The nervous system consists of complex motor neuron circuits, including upper motor neurons originating from the cerebral cortex and lower motor neurons starting in the spinal cord, coordinating both voluntary and involuntary movements. Among these, somatic motor neurons activate skeletal muscles and are classified into alpha, beta, and gamma types. Alpha neurons are vital for voluntary movement coordination, while gamma neurons adjust muscle spindle sensitivity, and the function of beta...
19.3K
Anchoring Junctions01:03

Anchoring Junctions

5.0K
Anchoring junctions are multiprotein complexes that help cells connect to other cells and the extracellular matrix. Anchoring junctions are present on the lateral and basal surfaces of cells, providing strong and flexible connections. Focal adhesions are often formed due to cell interactions with the ECM substrata, which initiate signal transduction via kinase cascades and other mechanisms. Together, they provide stability and tissue integrity. There are three types of anchoring junctions:...
5.0K
Adherens Junctions01:24

Adherens Junctions

6.4K
Strong contact points between adjacent cells anchor them to each other, forming tissues. Such anchoring junctions are of two types –  adherens junctions and desmosomes. Adherens junctions are abundant in tissues such as  epithelium and endothelium, forming a continuous zone of adhesion called the adhesion belt. In other tissues, such as  heart muscle, they appear as clusters, linking the cells to produce coordinated heart muscle contraction.
Adherens Junctions are Dynamic
6.4K
Gap Junctions01:27

Gap Junctions

9.6K
The cytoplasm of adjacent animal cells can exchange small molecules, ions, and secondary messengers via the communication channels which form the gap junctions. These junctions comprise a few hundred to thousands of molecular channels, each made of two halves, called the connexon hemichannel. A connexon is a hexamer of six transmembrane connexin proteins, which assemble radially, thus forming a pore or channel in the center. One connexon hemichannel docks with a corresponding connexon on the...
9.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Probing Ultrafast Excitonic Coherences and Charge-Generation Pathways in Quantum-Dot Photocells via Photocurrent-Detected Two-Dimensional Electronic Spectroscopy.

ACS nano·2026
Same author

Three-Dimensional Atomic Scale Insights into Unconventional Fragmentation of Two-Dimensional ReS<sub>2</sub> Monolayers into Molecular Clusters.

ACS nano·2026
Same author

Thermal transport through molecular monolayers in plasmonic nanogaps.

Nature communications·2026
Same author

The Effect of Saffron Extract Supplementation During Resistance Training on Hippocampal Doublecortin and Hepatic β-Hydroxybutyrate Levels in Rats With Type 2 Diabetes.

Journal of diabetes research·2026
Same author

A robust Au-C[triple bond, length as m-dash]C anchoring group greatly improves the signal stability of electrochemical aptamer-based sensors for <i>in vivo</i> measurements.

Chemical science·2026
Same author

Safety and Feasibility of Limb Salvage Surgery in Patients with Extremity Sarcoma and Major Vessel Abutment: A Longitudinal Study.

Indian journal of surgical oncology·2026

Related Experiment Video

Updated: Feb 6, 2026

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities
11:42

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Published on: July 24, 2015

16.1K

Low-Frequency Noise in Graphene Tunnel Junctions.

Paweł Puczkarski1, Qingqing Wu2, Hatef Sadeghi2

  • 1Department of Materials , University of Oxford , 16 Parks Road , Oxford OX1 3PH , United Kingdom.

ACS Nano
|August 18, 2018
PubMed
Summary

Electrical noise in graphene tunnel junctions arises from charge traps in dielectrics. These traps modulate the potential barrier, affecting current variance at different temperatures, crucial for electronics and biosensing applications.

Keywords:
charge trapsgraphenelow frequency noiserandom telegraph noisetunnel junctions

More Related Videos

Synthesis and Functionalization of 3D Nano-graphene Materials: Graphene Aerogels and Graphene Macro Assemblies
10:23

Synthesis and Functionalization of 3D Nano-graphene Materials: Graphene Aerogels and Graphene Macro Assemblies

Published on: November 5, 2015

14.5K
Graphene Coatings for Biomedical Implants
13:21

Graphene Coatings for Biomedical Implants

Published on: March 1, 2013

21.8K

Related Experiment Videos

Last Updated: Feb 6, 2026

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities
11:42

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Published on: July 24, 2015

16.1K
Synthesis and Functionalization of 3D Nano-graphene Materials: Graphene Aerogels and Graphene Macro Assemblies
10:23

Synthesis and Functionalization of 3D Nano-graphene Materials: Graphene Aerogels and Graphene Macro Assemblies

Published on: November 5, 2015

14.5K
Graphene Coatings for Biomedical Implants
13:21

Graphene Coatings for Biomedical Implants

Published on: March 1, 2013

21.8K

Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Nanotechnology

Background:

  • Graphene tunnel junctions are vital for single molecule electronics and biosensing.
  • Understanding their electrical noise is critical for application development.

Purpose of the Study:

  • Investigate electrical noise properties of graphene tunnel junctions.
  • Identify the origin of observed noise spectra at different temperatures.
  • Develop a theoretical model to explain noise mechanisms.

Main Methods:

  • Fabrication of graphene tunnel junctions using feedback-controlled electroburning.
  • Electrical noise measurements at cryogenic (77 K) and room temperatures.
  • Development of a theoretical model coupling quantum tunnel barriers with classical fluctuators (charge traps).

Main Results:

  • Observed random telegraph signals with Lorentzian noise at 77 K and 1/f noise at room temperature.
  • Identified charge traps in the dielectric as the source of noise via electrostatic environment modulation.
  • Quantified current variance (20-60% at room temp, 10% at 77 K) and relative potential barrier shifts (6-10% at room temp, 3-4% at 77 K).
  • Demonstrated Poisson statistics governing random trap occupation and intertrap Coulomb interactions.

Conclusions:

  • Graphene tunnel junctions exhibit high sensitivity to their local electrostatic environment.
  • Charge trap dynamics in the dielectric are the primary source of electrical noise.
  • The findings provide insights into noise mechanisms for advancing graphene-based electronic and biosensing devices.