Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.4K
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...
1.4K
π Electron Effects on Chemical Shift: Overview01:27

π Electron Effects on Chemical Shift: Overview

1.5K
An applied magnetic field causes loosely bound π-electrons in organic molecules to circulate, producing a local or induced diamagnetic field over a large spatial volume. As the molecules tumble in solution, the field generated by π-electrons in spherical substituents results in a zero net field. However, the net field generated by π-electrons in non-spherical substituents is not zero. The effect of this induced field depends on the orientation of the molecule with respect to B0,...
1.5K
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

2.4K
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...
2.4K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

1.4K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
1.4K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.7K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.7K
Electron Paramagnetic Resonance (EPR) Spectroscopy: Organic Radicals01:17

Electron Paramagnetic Resonance (EPR) Spectroscopy: Organic Radicals

3.2K
Ideally, an unpaired electron shows a single peak in the EPR spectrum due to the transition between the two spin energy states. However, coupling interactions can occur between the spins of the unpaired electron and any neighboring spin-active nuclei. This hyperfine coupling results in hyperfine splitting, where the EPR signal is split into multiplets. The signals split into 2nI + 1 peaks, where n is the number of equivalent nuclei and I is the nuclear spin. These splitting patterns provide...
3.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Breaking the mold: Overcoming the time constraints of molecular dynamics on general-purpose hardware.

The Journal of chemical physics·2025
Same author

Extreme Metastability of Diamond and its Transformation to the BC8 Post-Diamond Phase of Carbon.

The journal of physical chemistry letters·2024
Same author

Machine learned interatomic potential for dispersion strengthened plasma facing components.

The Journal of chemical physics·2023
Same author

Temporal endurance of exercise-induced benefits on hippocampus-dependent memory and synaptic plasticity in female mice.

Neurobiology of learning and memory·2022
Same author

Author Correction: Microglial activation increases cocaine self-administration following adolescent nicotine exposure.

Nature communications·2021
Same author

HDAC3 Activity within the Nucleus Accumbens Regulates Cocaine-Induced Plasticity and Behavior in a Cell-Type-Specific Manner.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2021
Same journal

Porphyrin Aggregation Revisited: From the Four-Orbital Gouterman Model to an Eight-Orbital Framework in Porphin H-Dimers.

The journal of physical chemistry. A·2026
Same journal

Unraveling the Electronic Origin of Selectivity in Ambimodal Transition States with Valence Bond Theory.

The journal of physical chemistry. A·2026
Same journal

Mechanism and Kinetics of the Initial Oxidative Ring-Opening of Corannulene Radicals under Combustion Conditions.

The journal of physical chemistry. A·2026
Same journal

High-Resolution Absorption Spectroscopy of ND<sub>3</sub> between 59,000 and 93,000 cm<sup>-1</sup>.

The journal of physical chemistry. A·2026
Same journal

Twisted-Driven Photoionization of Aligned Chiral Molecules: Signatures of Circular and Helical Dichroism.

The journal of physical chemistry. A·2026
Same journal

Modeling the Clustering of Fumaric/Maleic Acid with Water and Na<sup>+</sup>, Cl<sup>-</sup> Ions.

The journal of physical chemistry. A·2026
See all related articles

Related Experiment Video

Updated: Dec 21, 2025

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

7.9K

Explicit Multielement Extension of the Spectral Neighbor Analysis Potential for Chemically Complex Systems.

M A Cusentino1, M A Wood1, A P Thompson1

  • 1Center for Computing Research, Sandia National Laboratories, Albuquerque, New Mexico 87185, United States.

The Journal of Physical Chemistry. A
|May 21, 2020
PubMed
Summary
This summary is machine-generated.

A new multielement Spectral Neighbor Analysis Potential (SNAP) method enhances atomic interaction modeling in complex materials. This approach accurately captures high-energy defects in indium phosphide while maintaining computational efficiency.

More Related Videos

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.9K
Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
08:49

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

Published on: December 1, 2023

1.9K

Related Experiment Videos

Last Updated: Dec 21, 2025

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

7.9K
Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.9K
Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
08:49

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

Published on: December 1, 2023

1.9K

Area of Science:

  • Materials Science
  • Computational Chemistry
  • Condensed Matter Physics

Background:

  • The Spectral Neighbor Analysis Potential (SNAP) method uses basis function expansion of weighted neighbor density for atomic interactions.
  • Existing SNAP formulations struggle with chemically complex systems due to limitations in handling multiple elements.

Purpose of the Study:

  • To develop an extension of the SNAP method for accurate modeling of atomic interactions in chemically complex systems.
  • To introduce explicit multielement descriptors for improved accuracy in interatomic potentials.

Main Methods:

  • Derived a natural extension of SNAP descriptors by partitioning neighbor density into partial densities for each chemical element.
  • Developed an explicit multielement SNAP (EM-SNAP) formulation.
  • Implemented the EM-SNAP method in LAMMPS for force calculations.
  • Generated an interatomic potential for indium phosphide.

Main Results:

  • The new formulation leads to explicit multielement descriptors.
  • Computational cost scales favorably with a linear relationship to the number of atoms.
  • The EM-SNAP method accurately captures high-energy defects in indium phosphide resulting from radiation damage.
  • EM-SNAP reproduces relaxed defect formation energies with substantially greater accuracy than weighted-density SNAP.

Conclusions:

  • The explicit multielement SNAP method provides a significant advancement for modeling complex chemical systems.
  • This method offers improved accuracy for defect energies in materials like indium phosphide.
  • The approach retains favorable computational scaling, making it suitable for large-scale simulations.