Related Experiment Video
Updated: Aug 10, 2026

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models
Published on: March 6, 2018
Implementation of the bisection sampling method in path integral simulations
1Department of Chemistry, University of Minnesota, Minneapolis, MN 55455, USA. major@chem.umn.edu
Abstract:
A bisection sampling method is implemented in the framework of a quantized classical path algorithm to include nuclear quantum effects in path integral simulations. The present study examines the convergence of these calculations on two model systems with respect to the number of beads used in the polymer chain and the number of configurations both in free-particle sampling and in classical configuration sampling. The results will be useful for future studies of kinetic isotope effects in enzymatic reactions.
More Related Videos
Related Concept Videos
Cluster Sampling Method
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...
Sampling Plans
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...
Bandpass Sampling
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

