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

Maximum Size of Aggregate01:12

Maximum Size of Aggregate

440
The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
440
Types of Aggregate Grading01:15

Types of Aggregate Grading

1.3K
Aggregate grading is crucial in economically obtaining a concrete mix with adequate strength, reasonable workability, and minimal segregation. There are four types of aggregate gradation: well-graded, uniformly (or one-sized) graded, gap-graded, and open-graded.
Well-graded aggregates include a complete range of necessary size fractions that fit together to create a dense matrix with minimal voids, represented by a smooth, continuous gradation curve. This type of grading ensures good...
1.3K
Aggregates Classification01:29

Aggregates Classification

911
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
911
Actuarial Approach01:20

Actuarial Approach

245
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
245
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

234
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...
234
Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

479
The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
479

You might also read

Related Articles

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

Sort by
Same author

Combustion aerosols from mineral oil industrial fires: Physicochemical characterization and toxicity in bronchial epithelial cells at the air-liquid interface.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Corrigendum to "Critical Care Outcome Prediction Equation (COPE) model, version 7" [Crit Care Resusc 27 (4) (2025) 100131].

Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine·2026
Same author

Modelling enhancement of Ecosystem Services provision through integrated agri-environment and forestry measures.

The Science of the total environment·2024
Same author

Direct Observation of Polaritonic Chemistry by Nuclear Magnetic Resonance Spectroscopy.

Angewandte Chemie (International ed. in English)·2024
Same author

Effect of Plyometric Jump Training on Skeletal Muscle Hypertrophy in Healthy Individuals: A Systematic Review With Multilevel Meta-Analysis.

Frontiers in physiology·2022
Same author

Toxicological impact of organic ultrafine particles (UFPs) in human bronchial epithelial BEAS-2B cells at air-liquid interface.

Toxicology in vitro : an international journal published in association with BIBRA·2021
Same journal

Porous flexible structure mediated synergistic boost of built-in electric field and photothermal effect for enhanced photocatalysis.

Journal of colloid and interface science·2026
Same journal

Bi/Bi<sub>2</sub>Ce<sub>2</sub>O<sub>7</sub> heterojunctions for visible-light photocatalytic nitrogen fixation: Synergistic enhancement by localized surface plasmon resonance and oxygen vacancies.

Journal of colloid and interface science·2026
Same journal

Interface engineering of ultrathin nickel metallene on titanium dioxide nanosheets for efficient photocatalytic hydrogen evolution.

Journal of colloid and interface science·2026
Same journal

Magnetic Janus droplets as soft robots.

Journal of colloid and interface science·2026
Same journal

Defect-induced hydrophilic CuMOF -modified CuBi<sub>2</sub>O<sub>4</sub> for nitrate to ammonia reduction.

Journal of colloid and interface science·2026
Same journal

Membrane lipid composition and amino acid sequence determine binding of SARS-CoV-2 fusion peptides.

Journal of colloid and interface science·2026
See all related articles

Related Experiment Video

Updated: Dec 27, 2025

Automating Aggregate Quantification in Caenorhabditis elegans
07:50

Automating Aggregate Quantification in Caenorhabditis elegans

Published on: October 14, 2021

3.1K

Monte Carlo Aggregation Code (MCAC) Part 1: Fundamentals.

J Morán1, J Yon1, A Poux1

  • 1Normandie Université, INSA Rouen, UNIROUEN, CNRS, CORIA, 76000 Rouen, France.

Journal of Colloid and Interface Science
|February 29, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for simulating nanoparticle agglomeration using Monte Carlo simulations. The enhanced technique improves accuracy in predicting particle dynamics and residence time across various agglomeration regimes.

Keywords:
AgglomerationCoagulationLangevin dynamicsMonte Carlo

More Related Videos

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System
04:47

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System

Published on: May 22, 2020

3.9K
Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans
06:49

Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans

Published on: December 17, 2021

3.3K

Related Experiment Videos

Last Updated: Dec 27, 2025

Automating Aggregate Quantification in Caenorhabditis elegans
07:50

Automating Aggregate Quantification in Caenorhabditis elegans

Published on: October 14, 2021

3.1K
Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System
04:47

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System

Published on: May 22, 2020

3.9K
Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans
06:49

Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans

Published on: December 17, 2021

3.3K

Area of Science:

  • Nanoparticle science
  • Computational physics
  • Chemical engineering

Background:

  • Monte Carlo methods are used to simulate nanoparticle agglomeration.
  • Current methods have limitations in accuracy, particularly regarding particle residence time and specific agglomeration regimes.
  • Improved simulation accuracy is crucial for understanding nanoparticle behavior.

Purpose of the Study:

  • To enhance the accuracy of Monte Carlo simulations for nanoparticle dynamics and agglomeration.
  • To overcome limitations in predicting particle physical residence time.
  • To develop a more universally applicable simulation method.

Main Methods:

  • Introduced a novel persistent distance and time step derived from Langevin dynamics simulations.
  • Developed a probability of particle displacements applicable beyond specific agglomeration regimes.
  • Validated the modified Monte Carlo approach against Langevin dynamics simulations.

Main Results:

  • The new persistent distance and time step significantly improve simulation accuracy.
  • The modified method accurately predicts nanoparticle dynamics and agglomeration.
  • Validation confirmed the superior performance compared to existing Monte Carlo approaches.

Conclusions:

  • The enhanced Monte Carlo method provides a more accurate prediction of nanoparticle dynamics and agglomeration.
  • The introduced modifications overcome previous limitations in simulation accuracy and applicability.
  • This advancement offers a more reliable tool for studying suspended nanoparticles.