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

Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

414
The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
414
Circular Shafts - Elastoplastic Materials01:24

Circular Shafts - Elastoplastic Materials

502
The study of solid circular shafts under stress shows that within the elastic limit, stress increases directly to the distance from the shaft's center. This relationship holds until the shaft reaches a critical point of stress, beyond which it begins to yield, marking the transition from elastic to plastic deformation. At this crucial juncture, the maximum torque the shaft can endure without permanent deformation is determined, signifying the limit of its elastic behavior.
As torque on the...
502
Constitutional Isomers of Alkanes02:18

Constitutional Isomers of Alkanes

22.9K
Organic compounds of the same molecular formula can have different structural formulas called constitutional isomers, and the phenomenon is known as constitutional isomerism. Alkanes with four or more carbons showing multiple structures with the same molecular formula thereby exhibit constitutional isomerism.
The linear isomer of an alkane is prefixed by the term “n”; hence a linear isomer of pentane is known as n-pentane. Based on the type of branching, some of the...
22.9K
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

1.3K
Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
1.3K
Inverse Trigonometric Functions01:29

Inverse Trigonometric Functions

307
Inverse trigonometric functions are fundamental mathematical tools that reverse the actions of standard trigonometric functions. While trigonometric functions map angles to ratios, inverse trigonometric functions perform the opposite operation by mapping a ratio back to its corresponding angle. These functions are essential in various applications, particularly in determining angles when given specific distances, such as calculating elevation angles in navigation and engineering.For a function...
307
Machines01:19

Machines

581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
581

You might also read

Related Articles

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

Sort by
Same author

Transcriptomic Analyses and Weighted Gene Co-Expression Network Analysis (WGCNA) Identify Key Drought-Responsive Genes in Rice Roots (<i>Oryza sativa</i> L.) Under PEG Treatment.

Plants (Basel, Switzerland)·2026
Same author

Regulatory Role of Ubiquitin-Proteasome System in Plant Responses to Drought Stress.

Physiologia plantarum·2026
Same author

An electrocatalyst prepared <i>via</i> a metal-polyphenol assembly strategy for efficient nitrate reduction.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

A Multi-Component and Multi-Functional Synergistic System for Efficient Viscosity Reduction of Extra-Heavy Oil.

Molecules (Basel, Switzerland)·2025
Same author

Preparation of Phenolic Epoxy-Based Electronic Packaging Materials with High Thermal Conductivity by Creating an Interfacial Heat Conduction Network.

Polymers·2025
Same author

Preparation and Characterization of Low-Molecular-Weight Polyacrylonitrile.

Polymers·2025
Same journal

RETRACTED: Al-Hussain et al. Application of New Sodium Vinyl Sulfonate-co-2-Acrylamido-2-me[thylpropane Sulfonic Acid Sodium Salt-Magnetite Cryogel Nanocomposites for Fast Methylene Blue Removal from Industrial Waste Water. <i>Nanomaterials</i> 2018, <i>8</i>, 878.

Nanomaterials (Basel, Switzerland)·2026
Same journal

Correction: Jiang et al. Methods for Obtaining One Single Larmor Frequency, Either <i>v</i><sub>1</sub> or <i>v</i><sub>2</sub>, in the Coherent Spin Dynamics of Colloidal Quantum Dots. <i>Nanomaterials</i> 2023, <i>13</i>, 2006.

Nanomaterials (Basel, Switzerland)·2026
Same journal

Correction: Ekman et al. Synthesis, Characterization, and Adsorption Properties of Nitrogen-Doped Nanoporous Biochar: Efficient Removal of Reactive Orange 16 Dye and Colorful Effluents. <i>Nanomaterials</i> 2023, <i>13</i>, 2045.

Nanomaterials (Basel, Switzerland)·2026
Same journal

Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>-Based Materials and Coatings for De-Icing and Defogging of Wind Turbine Blades: Materials Basis, Structural Design, Engineering Integration, and Future Opportunities.

Nanomaterials (Basel, Switzerland)·2026
Same journal

Influence of the Ripeness Stages of the Precursors on the Optical Characteristics of Carbon Dots Obtained from Valencia Orange Peels (<i>Citrus sinensis</i> L. Osbeck) by Hydrothermal Synthesis.

Nanomaterials (Basel, Switzerland)·2026
Same journal

Insights into ALD Growth of Al-Based Dielectric Stack on 4H-SiC.

Nanomaterials (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 13, 2026

Bacterial Cellulose Spheres that Encapsulate Solid Materials
04:42

Bacterial Cellulose Spheres that Encapsulate Solid Materials

Published on: February 26, 2021

5.0K

Machine Learning Inversion Method for Elastoplastic Constitutive Parameters of Encapsulation Materials.

Mingqi Gao1,2, Tong Hu1, Yagang Zhang1

  • 1School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, China.

Nanomaterials (Basel, Switzerland)
|February 12, 2026
PubMed
Summary
This summary is machine-generated.

This study presents a novel method for accurately measuring microelectronic material properties using nanoindentation and neural networks. The technique achieves high precision for elastoplastic parameters, crucial for 3D heterogeneous integration.

Keywords:
constitutive parameterselectroplated copperinversionmachine learningnanoindentation

More Related Videos

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

Related Experiment Videos

Last Updated: Feb 13, 2026

Bacterial Cellulose Spheres that Encapsulate Solid Materials
04:42

Bacterial Cellulose Spheres that Encapsulate Solid Materials

Published on: February 26, 2021

5.0K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Computational Science

Background:

  • Accurate measurement of material mechanics parameters is vital for process quality and product reliability in 3D heterogeneous integration.
  • Current methods face challenges in precisely determining elastoplastic nonlinear constitutive parameters of microelectronic materials.

Purpose of the Study:

  • To develop a high-accuracy measurement method for elastoplastic nonlinear constitutive parameters of microelectronic materials.
  • To leverage nanoindentation testing, neural networks, and advanced algorithms for material characterization.

Main Methods:

  • Constructed a neural network-based forward characterization model for material response parameters.
  • Designed an improved iterative algorithm for reverse solution of the forward model.
  • Applied the least-squares method to solve overdetermined equations, enhancing stability and uniqueness.

Main Results:

  • Achieved high-precision and fast reverse solutions for elastoplastic constitutive parameters.
  • Material parameter relative error < 3% (95% CI), maximum error < 8%.
  • Inversion convergence error for key indentation parameters < 0.1%.

Conclusions:

  • The developed method provides accurate and reliable measurement of microelectronic material mechanics parameters.
  • Validated the impact of measured parameters on Through Ceramic Via (TCV) product process stress via finite element simulation.
  • This technique is essential for advancing 3D heterogeneous integration technology.