Related Experiment Video
Updated: Jun 16, 2026
12:11
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Application of the cluster-cluster aggregation model to an open system.
Hailing Xiong1, Hang Li, Weiping Chen
1College of Computer and Information Science, Southwest University, Chongqing 400715, China. xionghl@gmail.com
Journal of Colloid and Interface Science
|January 26, 2010
Summary
This study introduces an extended Cluster-Cluster Aggregation (CCA) model for simulating colloid aggregation in open systems. The model accounts for dynamic changes, showing solvent evaporation alters aggregation mechanisms.
Area of Science:
- Physical Chemistry
- Materials Science
- Chemical Engineering
Background:
- Colloid aggregation is influenced by environmental changes.
- Classic Cluster-Cluster Aggregation (CCA) models lack dynamic adaptability for open systems.
Purpose of the Study:
- To develop an extended CCA model for simulating colloid aggregation in dynamic open systems.
- To incorporate time-dependent parameters like diffusion coefficient and sticking probability.
Main Methods:
- Developed a conceptual model extending the classic CCA model.
- Introduced time-dependent diffusion coefficient D(1)(t) and sticking probability P(1)(t).
- Simulated aggregation by defining D(1) and P(1) as functions of solvent evaporation rate and time, with P(1) held constant.
Main Results:
- The extended model successfully simulates colloid aggregation in open systems.
- Solvent evaporation was shown to modify aggregation mechanisms.
- The degree of alteration depended on the solvent evaporation rate.
Conclusions:
- The extended CCA model is a valuable tool for studying colloid aggregation in open systems.
- Dynamic simulation capabilities enhance understanding of aggregation processes under changing conditions.
- This approach provides insights into how environmental factors influence colloid behavior.
Related Concept Videos
01:20Cluster Sampling Method
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
01:06Three-Compartment Open Model
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
01:05Two-Compartment Open Model: Overview
Multicompartmental models are crucial tools in pharmacokinetics, providing a framework to understand how drugs move within the body. The two-compartment model is a crucial subtype, segmenting the body into central and peripheral compartments. The central compartment represents areas with high blood flow, such as plasma and highly perfused organs like the kidneys and liver, while the peripheral compartment signifies tissues with lower blood flow, like adipose tissue and muscle tissue.
The...
The...
01:17Open and closed-loop control systems
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
01:23Sampling Plans
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
01:21Distributed Loads: Problem Solving
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...