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

You might also read

Related Articles

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

Sort by
Same author

Competing roles of aggregation and interfacial interactions in sustainable protein/cellulose nanocrystal-reinforced soft composites.

Soft matter·2026
Same author

Strong and brittle lithium dendrites.

Science (New York, N.Y.)·2026
Same author

Synaptopodin enables directional mechanoadaptation of integrin-based adhesions.

bioRxiv : the preprint server for biology·2026
Same author

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Flaw-size-dependent mechanical interlayer coupling and edge-reconstruction embrittlement in van der Waals materials.

Nature materials·2025
Same author

Does the mantis shrimp pack a phononic shield?

Science (New York, N.Y.)·2025

Related Experiment Video

Updated: Jun 5, 2026

A Novel Method for In Situ Electromechanical Characterization of Nanoscale Specimens
07:15

A Novel Method for In Situ Electromechanical Characterization of Nanoscale Specimens

Published on: June 2, 2017

In situ mechanical characterization of functional and architected materials.

Hanxun Jin1,2, Ming Chen3,4, Matias Kagias5

  • 1Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.

Nature Materials
|June 3, 2026
PubMed
Summary

Cutting-edge in situ micro- and nanoscale mechanical characterization techniques reveal the processing-structure-property relationships in advanced materials. Artificial intelligence integration further enhances material design and high-throughput experimentation for next-generation applications.

More Related Videos

Environmentally-controlled Microtensile Testing of Mechanically-adaptive Polymer Nanocomposites for ex vivo Characterization
11:38

Environmentally-controlled Microtensile Testing of Mechanically-adaptive Polymer Nanocomposites for ex vivo Characterization

Published on: August 20, 2013

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
07:07

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing

Published on: December 13, 2016

Related Experiment Videos

Last Updated: Jun 5, 2026

A Novel Method for In Situ Electromechanical Characterization of Nanoscale Specimens
07:15

A Novel Method for In Situ Electromechanical Characterization of Nanoscale Specimens

Published on: June 2, 2017

Environmentally-controlled Microtensile Testing of Mechanically-adaptive Polymer Nanocomposites for ex vivo Characterization
11:38

Environmentally-controlled Microtensile Testing of Mechanically-adaptive Polymer Nanocomposites for ex vivo Characterization

Published on: August 20, 2013

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
07:07

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing

Published on: December 13, 2016

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Nanotechnology

Background:

  • Instrumentation advances offer new insights into materials.
  • Micro- and nanoscale mechanical characterization are crucial for understanding material properties.

Purpose of the Study:

  • To provide a comprehensive overview of the latest micro- and nanoscale mechanical characterization methods.
  • To highlight interdisciplinary applications in functional and architected materials.

Main Methods:

  • Instrumented electron microscopy
  • X-ray imaging
  • Opto-acoustic techniques
  • In situ mechanical characterization

Main Results:

  • These methods provide exceptional spatial and temporal resolution.
  • They enable the study of low-dimensional, bio-inspired, and architected metamaterials.
  • Integration with AI and machine learning streamlines experimentation and enhances accuracy.

Conclusions:

  • Innovative characterization techniques are versatile and essential for materials science.
  • These methods drive solutions in energy, sustainability, semiconductor technology, and healthcare.
  • AI integration promises accelerated design of next-generation materials.