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Related Concept Videos

Cluster Sampling Method01:20

Cluster 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...
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene π orbitals.
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other axis.
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
Coefficient of Correlation01:12

Coefficient of Correlation

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the strength of the linear...
Correlation of Experimental Data01:23

Correlation of Experimental Data

Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity, and...

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Updated: Jun 25, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

Higher-order explicitly correlated coupled-cluster methods.

Toru Shiozaki1, Muneaki Kamiya, So Hirata

  • 1Department of Chemistry, Quantum Theory Project and The Center for Macromolecular Science and Engineering, University of Florida, Gainesville, Florida 32611-8435, USA.

The Journal of Chemical Physics
|February 12, 2009
PubMed
Summary
This summary is machine-generated.

New computer codes for explicitly correlated coupled-cluster (CC-R12) methods enable rapid convergence to exact solutions for molecular Schrodinger equations. These advanced methods achieve high accuracy with smaller basis sets, significantly improving computational efficiency in quantum chemistry.

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Related Experiment Videos

Last Updated: Jun 25, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Area of Science:

  • Computational Quantum Chemistry
  • Theoretical Chemistry
  • Electronic Structure Theory

Background:

  • Conventional coupled-cluster (CC) methods require large basis sets for accurate results.
  • Explicitly correlated methods (CC-R12/F12) incorporate interelectronic distances to accelerate convergence.
  • Previous implementations of CC-R12 were limited in excitation levels.

Purpose of the Study:

  • To implement efficient computer codes for high-level explicitly correlated coupled-cluster (CC-R12) methods, including triple and quadruple excitations.
  • To demonstrate the rapid convergence and accuracy of these methods towards exact solutions of the Schrodinger equation.
  • To obtain accurate absolute total energies for small molecules using CC-R12 methods with smaller basis sets.

Main Methods:

  • Development of efficient computer codes for CCSDT-R12 and CCSDTQ-R12 methods using computerized symbolic algebra (SMITH).
  • Incorporation of spin, Abelian point-group, and index-permutation symmetries.
  • Combination of CC-R12 methods with a grid-based, numerical Hartree-Fock solver.

Main Results:

  • Implemented CC-R12 hierarchy (up to CCSDTQ-R12) shows rapid convergence with respect to excitation rank and basis set size.
  • CC-R12 methods achieve aug-cc-pV5Z quality results using only the aug-cc-pVTZ basis set.
  • Accurate absolute total energies for Ne, BH, HF, and H2O obtained without basis set extrapolation, agreeing with experimental/computational benchmarks.

Conclusions:

  • The developed CC-R12 codes provide a systematic and efficient hierarchy for accurate electronic structure calculations.
  • Explicitly correlated methods significantly reduce the basis set requirements for high-accuracy quantum chemical computations.
  • These advancements enable reliable prediction of molecular properties and energies for various chemical systems.