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Related Concept Videos

Sampling Methods: Overview01:06

Sampling Methods: Overview

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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...
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Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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Sampling materials are classified into three main types: solid, liquid, and gas.
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Cluster Sampling Method01:20

Cluster Sampling Method

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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...
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Sampling Plans01:23

Sampling Plans

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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.
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Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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Random Sampling Method01:09

Random Sampling Method

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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...
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Related Experiment Videos

CORE-MD II: A fast, adaptive, and accurate enhanced sampling method.

Emanuel K Peter1, Dietmar J Manstein1, Joan-Emma Shea2

  • 1Institute for Biophysical Chemistry, Fritz-Hartmann-Centre for Medical Research, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover 30625, Germany.

The Journal of Chemical Physics
|September 16, 2021
PubMed
Summary
This summary is machine-generated.

We developed CORE-MD II, a novel enhanced sampling method for molecular dynamics simulations. This technique significantly accelerates protein folding simulations, achieving faster convergence and improved sampling efficiency compared to existing methods.

Related Experiment Videos

Area of Science:

  • Computational chemistry
  • Biophysics
  • Materials science

Background:

  • Molecular Dynamics (MD) simulations are crucial for understanding molecular behavior.
  • Enhanced sampling methods are needed to overcome timescale limitations in MD.
  • Current methods often require predefined reaction pathways or additional parameters.

Purpose of the Study:

  • To introduce CORE-MD II, a fast and adaptive enhanced sampling method.
  • To improve the efficiency and convergence of molecular dynamics simulations.
  • To enable pathway-independent sampling of complex molecular processes.

Main Methods:

  • Partitioning simulation pathways into short instances.
  • Utilizing adaptive path-dependent metadynamics for accelerated sampling within instances.
  • Employing kinetic Monte Carlo (kMC) sampling between accessed states.

Main Results:

  • CORE-MD II demonstrated improved convergence by a factor of 8.8 compared to other methods.
  • Achieved acceleration factors of approximately 120.
  • Successfully observed native state formation for TrpZip2, outperforming REMD and CORE-MD I.

Conclusions:

  • CORE-MD II offers a significant advancement in enhanced sampling for molecular dynamics.
  • The method is broadly applicable to various simulations, including protein folding, aggregation, signaling, and materials science.
  • CORE-MD II provides efficient and parameter-free pathway exploration.