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

Structure and Organization of Smooth Muscles01:13

Structure and Organization of Smooth Muscles

8.5K
Smooth muscle tissue is a type of muscle tissue that can be found lining various vital organs in the human body, including the lungs, blood vessels, digestive tract, and respiratory tract. This type of tissue is responsible for regulating the movements of these organs, playing crucial roles in the functioning of various systems, including the vascular, digestive, respiratory, and urinary systems.
Structure of smooth muscle cell
Smooth muscle cells are spindle-shaped with tapering ends and a...
8.5K
Prokaryotic Gene Structure and Organization01:28

Prokaryotic Gene Structure and Organization

2.0K
Prokaryotic genomes exhibit a streamlined organization of coding and non-coding regions essential for gene expression and protein synthesis. While coding regions contain the genetic instructions for proteins or functional RNAs, non-coding regions regulate the precise transcription and translation of these genes.Coding Regions: Proteins and RNAsThe primary coding regions, known as structural genes, include sequences transcribed into messenger RNA (mRNA) and ultimately translated into...
2.0K
Range00:59

Range

13.9K
The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
13.9K
Emerging Adulthood01:27

Emerging Adulthood

649
Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
649
Structural Organization of the Human Body: An Overview01:18

Structural Organization of the Human Body: An Overview

27.1K
It is convenient to consider the body's structures in terms of fundamental levels of organization that increase in complexity: subatomic particles, atoms, molecules, organelles, cells, tissues, organs, organ systems, and organisms.
To study the chemical level of organization, scientists consider the simplest building blocks of matter: subatomic particles, atoms, and molecules. All matter in the universe is composed of one or more unique pure substances called elements, familiar examples of...
27.1K
Levels of Organization01:09

Levels of Organization

139.3K
Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...
139.3K

You might also read

Related Articles

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

Sort by
Same author

PropMolFlow: property-guided molecule generation with geometry-complete flow matching.

Nature computational science·2026
Same author

A geometric condition for robot-swarm cohesion and cluster-flock transition.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Transport and energetics of bacterial rectification.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Impedance Spectroscopy for Bacterial Cell Monitoring, Analysis, and Antibiotic Susceptibility Testing.

Langmuir : the ACS journal of surfaces and colloids·2024
Same author

Stress-shape misalignment in confluent cell layers.

Nature communications·2024
Same author

Cell sorting by active forces in a phase-field model of cell monolayers.

Soft matter·2024
Same journal

Plasmonic nanocomposite helices for weather-adaptive LiDAR function.

Nature communications·2026
Same journal

Multidirectional strain-insensitive stretchable RF electronics.

Nature communications·2026
Same journal

In-scanner thoughts contribute to resting-state functional connectivity.

Nature communications·2026
Same journal

Metal-center electron affinity modulates multicolor electrochromism in 2D conjugated metal-organic frameworks.

Nature communications·2026
Same journal

Hyperbranched dielectric polymer networks exhibiting giant energy storage density at 250 °C.

Nature communications·2026
Same journal

3D nanoprinting of metals by spatiotemporally confined hot electrons via multiple-electron excitations in nanocrystals.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jan 25, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

7.0K

Emergent universal long-range structure in random-organizing systems.

Satyam Anand1,2, Guanming Zhang3,4, Stefano Martiniani5,6,7,8

  • 1Courant Institute of Mathematical Sciences, New York University, New York, NY, 10003, USA. sa7483@nyu.edu.

Nature Communications
|January 23, 2026
PubMed
Summary
This summary is machine-generated.

Long-range structure emerges from noisy particle interactions, suppressing density fluctuations universally across physics and machine learning. This finding connects stochastic gradient descent to hyperuniformity and has broad applications.

More Related Videos

Author Spotlight: Exploring Bradysia coprophila's Unique Biology – A Guide to Laboratory Maintenance
04:26

Author Spotlight: Exploring Bradysia coprophila's Unique Biology – A Guide to Laboratory Maintenance

Published on: April 19, 2024

1.7K
Organic Structure-directing Agent-free Synthesis for *BEA-type Zeolite Membrane
08:49

Organic Structure-directing Agent-free Synthesis for *BEA-type Zeolite Membrane

Published on: February 22, 2020

14.7K

Related Experiment Videos

Last Updated: Jan 25, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

7.0K
Author Spotlight: Exploring Bradysia coprophila's Unique Biology – A Guide to Laboratory Maintenance
04:26

Author Spotlight: Exploring Bradysia coprophila's Unique Biology – A Guide to Laboratory Maintenance

Published on: April 19, 2024

1.7K
Organic Structure-directing Agent-free Synthesis for *BEA-type Zeolite Membrane
08:49

Organic Structure-directing Agent-free Synthesis for *BEA-type Zeolite Membrane

Published on: February 22, 2020

14.7K

Area of Science:

  • Physics
  • Machine Learning
  • Mathematics

Background:

  • Self-organization from local noisy dynamics is common but poorly understood.
  • Emergence of long-range structure from local interactions is a key challenge.

Purpose of the Study:

  • Investigate universal long-range behavior in random-organizing particle systems.
  • Connect noise-induced hyperuniformity to machine learning dynamics.
  • Develop a theory for noise-driven self-organization.

Main Methods:

  • Studied three paradigmatic systems: soft matter physics models and stochastic gradient descent.
  • Analyzed noise correlation effects on density fluctuations.
  • Developed a fluctuating hydrodynamic theory.

Main Results:

  • Discovered universal suppression of long-range density fluctuations.
  • Noise correlation solely governs this long-range behavior.
  • Linked emergent structure to stochastic gradient descent favoring flat energy landscapes.

Conclusions:

  • Resolved microscopic origins of noise-induced hyperuniformity.
  • Revealed parallels between particle systems and neural network loss landscapes.
  • Suggests applications in materials science, ecology, and AI algorithm design.