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

Valence Bond Theory02:42

Valence Bond Theory

11.7K
Coordination compounds and complexes exhibit different colors, geometries, and magnetic behavior, depending on the metal atom/ion and ligands from which they are composed. In an attempt to explain the bonding and structure of coordination complexes, Linus Pauling proposed the valence bond theory, or VBT, using the concepts of hybridization and the overlapping of the atomic orbitals. According to VBT, the central metal atom or ion (Lewis acid) hybridizes to provide empty orbitals of suitable...
11.7K
Cluster Sampling Method01:20

Cluster Sampling Method

15.6K
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...
15.6K
Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)01:20

Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)

1.9K
Two NMR-active nuclei bonded to a central atom can be involved in geminal or two-bond coupling. Geminal coupling is commonly seen between diastereotopic protons in chiral molecules and unsymmetrical alkenes, among others.
The central atom need not be NMR-active because its electrons are affected by the electron polarization of the spin-active atoms. However, spin information is transmitted less effectively than in one-bond coupling, and 2J values are usually weaker than 1J values. The energy of...
1.9K
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

61.6K
The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
61.6K
Structures of Solids02:22

Structures of Solids

21.9K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
21.9K
The Seven Crystal Systems: Overview01:24

The Seven Crystal Systems: Overview

183
Crystals with various point group symmetries belong to different crystal classes, which are synonymous terms. Despite being in the same class, crystals may have distinct shapes, like cubes and octahedra. There are 32 three-dimensional point groups, all of which are systematically divided into seven crystal systems.The basic cubic crystal system, exemplified by NaCl, features orthogonal vectors (α = β = �� = 90°) of equal lengths (a = b = c). When specific...
183

You might also read

Related Articles

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

Sort by
Same author

Direct comparison of stochastic driven nonlinear dynamical systems for combinatorial optimization.

Physical review. E·2025
Same author

Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking.

Scientific reports·2025
Same author

Symptom Profiles and Related Factors Among Breast Cancer Patients Undergoing Endocrine Therapy: A Latent Profile Analysis.

Cancer nursing·2023
Same author

Associations between COVID-19 infection experiences and mental health problems among Chinese adults: A large cross-section study.

Journal of affective disorders·2023
Same author

Correction: Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma.

BMC endocrine disorders·2023
Same author

Association of Serum Calcium with the Risk of Chronic Obstructive Pulmonary Disease: A Prospective Study from UK Biobank.

Nutrients·2023
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.9K

Efficient Cluster Algorithm for Spin Glasses in Any Space Dimension.

Zheng Zhu1, Andrew J Ochoa1, Helmut G Katzgraber1,2,3

  • 1Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843-4242, USA.

Physical Review Letters
|August 29, 2015
PubMed
Summary
This summary is machine-generated.

We developed a new cluster algorithm for Ising spin glasses, significantly accelerating simulations. This method enhances thermalization speed by over tenfold in challenging temperature regimes for frustrated and disordered spin systems.

More Related Videos

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

12.1K
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

8.8K

Related Experiment Videos

Last Updated: Apr 4, 2026

Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.9K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

12.1K
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

8.8K

Area of Science:

  • Statistical Mechanics
  • Computational Physics
  • Condensed Matter Physics

Background:

  • Spin systems with frustration and disorder present significant analytical and numerical challenges.
  • Cluster algorithms accelerate simulations for ferromagnetic models but are lacking for spin-glass systems.

Purpose of the Study:

  • To present a novel cluster algorithm for Ising spin glasses applicable in any spatial dimension.
  • To significantly speed up the thermalization process in challenging temperature regimes.

Main Methods:

  • Developed isoenergetic cluster moves inspired by the Houdayer algorithm.
  • Applied the algorithm to Ising spin glasses in 2D and 3D, and to the chimera topology.

Main Results:

  • Achieved thermalization speedup of at least one order of magnitude.
  • Demonstrated speedup increases with system size compared to state-of-the-art methods.
  • Validated the algorithm's effectiveness across different dimensions and complex topologies.

Conclusions:

  • The isoenergetic cluster algorithm offers a substantial advancement for simulating Ising spin glasses.
  • This method overcomes limitations of existing techniques for frustrated and disordered systems.
  • Provides a powerful tool for studying complex spin systems, including those relevant to quantum annealing.