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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

245
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
245

You might also read

Related Articles

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

Sort by
Same author

3D Activity reconstruction from Angular Gamma Scanning via variational Bayes: A proof of concept.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicineĀ·2026
Same author

Glyphosate and Triton X-100 single-competitive sorption-desorption analysis through kinetic and equilibrium frameworks utilizing maximum likelihood method.

Environmental science and pollution research internationalĀ·2025
Same author

Understanding the availability of metals in agricultural soils and the impact of manure application.

Journal of hazardous materialsĀ·2025
Same author

Groundwater drought and anthropogenic amplifiers: A review of assessment and response strategies in arid and semi-arid areas.

The Science of the total environmentĀ·2025
Same author

Bayesian inference of coupled groundwater flow and radiogenic helium-4 production and transport at the catchment scale.

The Science of the total environmentĀ·2024
Same author

Framework for mapping large-scale nature-based solutions for drought mitigation: Regional application in Flanders.

Water researchĀ·2024

Related Experiment Video

Updated: Jan 1, 2026

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
10:18

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

8.8K

Nested multiresolution hierarchical simulated annealing algorithm for porous media reconstruction.

Laurent Lemmens1, Bart Rogiers1, Diederik Jacques1

  • 1Belgian Nuclear Research Center SCK•CEN, Mol, Belgium.

Physical Review. E
|December 25, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hierarchical simulated annealing algorithm for reconstructing porous media. The method enhances long-range connectivity and computational efficiency, significantly improving reconstruction quality for complex materials.

More Related Videos

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

13.0K
Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
08:38

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

10.9K

Related Experiment Videos

Last Updated: Jan 1, 2026

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
10:18

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

8.8K
Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

13.0K
Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
08:38

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

10.9K

Area of Science:

  • Materials Science
  • Computational Science
  • Geophysics

Background:

  • Porous media microstructure dictates crucial flow and transport properties.
  • Accurate 3D pore-scale models are essential for simulations but challenging to obtain due to scale-dependent heterogeneities.
  • Existing methods like simulated annealing (SA) struggle with long-range connectivity and multiphase reconstruction.

Purpose of the Study:

  • To develop an advanced simulated annealing algorithm for improved porous media reconstruction.
  • To address limitations of standard SA, specifically in long-range connectivity and multiphase simulations.
  • To enhance the accuracy and efficiency of generating realistic 3D microstructural models.

Main Methods:

  • A hierarchical, multiresolution, and multiphase simulated annealing algorithm was developed.
  • The algorithm reconstructs materials by simulating phases sequentially in a hierarchical manner.
  • It employs a coarser resolution for larger particles, which is subsequently refined, improving computational efficiency.

Main Results:

  • The proposed algorithm significantly improves binary reconstruction quality, with multiple-point histogram accuracy enhanced by an order of magnitude.
  • It achieves a substantial overall speed-up in reconstruction time compared to standard SA.
  • The method outperforms direct sampling multiple-point statistics for cement paste microstructure generation in both speed and quality.

Conclusions:

  • The hierarchical multiresolution and multiphase simulated annealing algorithm offers a superior approach for porous media reconstruction.
  • It effectively handles complex microstructures, improves connectivity, and reduces computational cost.
  • This advancement enables more accurate simulations of flow and transport in heterogeneous materials.