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Related Concept Videos

Random Sampling Method01:09

Random Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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. Among the various sampling methods used by...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...
Sampling Plans01:23

Sampling 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...
Fast Reactions01:27

Fast Reactions

Fast reactions occurring in times shorter than the time needed to mix reactants pose a unique challenge for investigation. In a liquid-phase continuous-flow system, reactants A and B are swiftly pushed into the mixing chamber, where mixing occurs within 1 ms. The reaction mixture then flows through an observation tube, and one measures light absorption to determine species concentrations at various points of the tube. This method is most appropriate when relatively large volumes of reactants...
Sampling Distribution01:12

Sampling Distribution

Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...

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Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
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Published on: June 24, 2019

Forward flux sampling for rare event simulations.

Rosalind J Allen1, Chantal Valeriani, Pieter Rein Ten Wolde

  • 1SUPA, School of Physics and Astronomy, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JZ, UK.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|July 1, 2011
PubMed
Summary
This summary is machine-generated.

Forward flux sampling is a specialized simulation method designed to study rare events. This technique uses interfaces to calculate rates and model transitions in complex systems.

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Area of Science:

  • Computational physics and chemistry
  • Statistical mechanics
  • Stochastic processes

Background:

  • Rare events are challenging to simulate due to infrequent occurrences in conventional methods.
  • Specialized simulation techniques are crucial for studying rare events across various scientific domains.

Purpose of the Study:

  • To review the recently developed forward flux sampling method for simulating rare events.
  • To summarize advances, applications, and remaining challenges of forward flux sampling.

Main Methods:

  • Forward flux sampling utilizes a series of interfaces between initial and final states.
  • The method is applicable to both equilibrium and nonequilibrium systems with stochastic dynamics.
  • It enables the calculation of rate constants and the generation of transition paths.

Main Results:

  • Forward flux sampling effectively addresses the simulation of rare events.
  • The method has demonstrated utility in diverse applications.
  • Recent advances have expanded its capabilities and scope.

Conclusions:

  • Forward flux sampling is a powerful tool for rare event simulation.
  • Further research is needed to overcome existing challenges and enhance the method's applicability.
  • The technique holds significant potential for advancing our understanding of complex systems.