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Review and Preview01:10

Review and Preview

8.3K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview01:13

Review and Preview

10.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.9K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

592
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
592
Olefin Metathesis Polymerization: Ring-Opening Metathesis Polymerization (ROMP)01:16

Olefin Metathesis Polymerization: Ring-Opening Metathesis Polymerization (ROMP)

3.1K
Ring-opening metathesis polymerization or ROMP involves strained cycloalkenes as starting materials. The mechanism of ROMP proceeds by reacting cycloalkene with Grubbs catalyst to give metallacyclobutane intermediate which undergoes a ring-opening reaction to form new carbene. The new carbene reacts with another molecule of cycloalkene. Repetition of these steps leads to the formation of an unsaturated open-chain polymer product. All these steps are reversible, however, relieving the ring...
3.1K
Actin Polymerization01:42

Actin Polymerization

8.4K
Actin polymerization occurs through the head-to-tail association of binding sites on monomeric actin or G-actin to form filamentous or F-actin. The polymerization can be divided into three phases ̶  nucleation, elongation, and steady-state phase.
The nucleation phase involves forming a stable nucleus consisting of three actin monomers to form a new actin filament. Actin-binding proteins such as formins and Arp2/3 complex help filament growth post-nucleation. The Formins form straight...
8.4K
Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

384
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...
384

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Related Experiment Video

Updated: Jan 26, 2026

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications
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A Review of Multiscale Computational Methods in Polymeric Materials.

Ali Gooneie1, Stephan Schuschnigg2, Clemens Holzer3

  • 1Chair of Polymer Processing, Montanuniversitaet Leoben, Otto Gloeckel-Strasse 2, 8700 Leoben, Austria. ali.gooneie@unileoben.ac.at.

Polymers
|April 12, 2019
PubMed
Summary

Multiscale modeling bridges different scales to understand polymer behavior. This review covers computational methods and strategies for simulating complex polymeric materials, highlighting current challenges and future directions.

Keywords:
bridging strategiescomputational methodscomputer simulationshierarchical structuresmultiple scalesmultiscale modellingnanocompositespolymers

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Area of Science:

  • Polymer Science and Engineering
  • Computational Materials Science
  • Multiscale Modeling

Background:

  • Polymeric materials exhibit complex behaviors arising from phenomena across multiple length and time scales.
  • Understanding these hierarchical structures is crucial for advancing polymer systems.
  • A multiscale analysis is essential to capture the inherent multiscale nature of polymers.

Purpose of the Study:

  • To provide a comprehensive overview of recent developments in multiscale modeling and simulation of polymeric materials.
  • To review computational methods at various scales (quantum mechanical, atomistic, mesoscopic, macroscopic).
  • To discuss different multiscale strategies, including sequential, concurrent, and adaptive resolution schemes.

Main Methods:

  • Review of computational techniques: quantum mechanics, Monte Carlo, molecular dynamics, Brownian dynamics, dissipative particle dynamics, lattice Boltzmann method, finite element, and finite volume methods.
  • Detailed discussion of multiscale strategies: sequential (coarse-graining, backmapping), concurrent (handshaking, energy/force-based coupling), and adaptive resolution schemes.
  • Illustration of applications in polymer science with examples.

Main Results:

  • Overview of established and emerging computational methods for different scales.
  • Analysis of sequential, concurrent, and adaptive multiscale strategies, including their advantages and limitations.
  • Identification of limited but growing applications of concurrent methods in polymer science.

Conclusions:

  • Multiscale modeling is a rapidly evolving field with diverse possibilities and challenges for polymeric materials.
  • Further research is needed to fully exploit concurrent and adaptive methods in polymer science.
  • Novel ideas for extending atomistic techniques and addressing existing challenges are outlined for future research.