Jove
Visualize
Contact Us

Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

123
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
123
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.4K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.4K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

482
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
482
Modeling and Similitude01:12

Modeling and Similitude

288
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
288
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

211
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
211
Molecular Models02:00

Molecular Models

38.6K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
38.6K

You might also read

Related Articles

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

Sort by
Same author

Rethinking Emergency Water Remediation: Beyond Short-Term Compliance.

Environmental science & technology·2026
Same author

Advanced oxidation processes based on non-radical pathways in persulfate systems: a comprehensive review of their characteristics, detection methods, and catalyst design.

RSC advances·2026
Same author

Floating macrophyte growth and decomposition greatly affects the exogenous antimony mobility and microbial community functions in water-sediment system.

Water research·2026
Same author

School bullying predicts malevolent creativity in middle school students through anger and hostile attribution bias.

Scientific reports·2026
Same author

Analyses of Stress-State-Dependent Ductile Damage and Fracture Behavior of Zirconium.

Materials (Basel, Switzerland)·2026
Same author

Dual-Modified Mannose/RVG29 Peptide-Functionalized Lipid Nanoparticles Loaded With <i>circHIPK2</i> siRNA Ameliorate Hypoxic-Ischemic Brain Damage in Neonatal Mice by Suppressing Astrocyte Activation.

Journal of integrative neuroscience·2026
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 Experiment Video

Updated: Jul 18, 2025

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
09:36

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

3.8K

DRAGen - A deep learning supported RVE generator framework for complex microstructure models.

Manuel Henrich1, Niklas Fehlemann1, Felix Bexter1

  • 1Integrity of Materials and Structures, RWTH Aachen University, Intzestraße 1, Aachen, 52064, Germany.

Heliyon
|August 28, 2023
PubMed
Summary

The improved Discrete RVE Automation and Generation Framework (DRAGen) now generates realistic microstructures with complex features. This powerful tool supports multiple solvers and enhances microstructure studies for the ICME community.

Keywords:
Crystal plasticityDeep learningMicrostructure designMicrostructure modelingRepresentative Volume Elements

More Related Videos

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.6K
Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research
07:29

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

783

Related Experiment Videos

Last Updated: Jul 18, 2025

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
09:36

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

3.8K
A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.6K
Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research
07:29

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

783

Area of Science:

  • Computational Materials Science
  • Materials Informatics
  • Multiphysics Simulation

Background:

  • Representative Volume Elements (RVEs) are crucial for accurate material modeling.
  • Generating RVEs with realistic microstructural features is computationally challenging.
  • Existing frameworks may lack the flexibility to incorporate diverse microstructural complexities and solver compatibility.

Purpose of the Study:

  • To present an enhanced Discrete RVE Automation and Generation Framework (DRAGen).
  • To enable the generation of RVEs with complex and realistic microstructural features.
  • To expand DRAGen's compatibility with various computational materials engineering (ICME) solvers.

Main Methods:

  • Incorporated a generator for RVEs with complex microstructure features extracted from real materials.
  • Enabled input data processing from trained neural networks and .csv files.
  • Added modules for generating input files for Finite Element (FE) and spectral solvers.

Main Results:

  • DRAGen can now reconstruct diverse features including pores, inclusions, martensite bands, hierarchical substructures, and crystallographic textures.
  • The framework generates input files for DAMASK, Abaqus, and MOOSE multiphysics frameworks.
  • Evaluations and simulations confirm DRAGen's power and flexibility for ICME research.

Conclusions:

  • The enhanced DRAGen is a versatile tool for generating realistic RVEs with complex microstructures.
  • Its modular design allows for easy expansion and adaptation.
  • DRAGen provides researchers with a broad spectrum of microstructures for studies and design developments.