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

Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

1.7K
Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
1.7K
Introduction to Test of Independence01:21

Introduction to Test of Independence

3.0K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
3.0K
Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

8.2K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
8.2K
Law of Independent Assortment02:03

Law of Independent Assortment

62.7K
While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
62.7K
Cell Size01:22

Cell Size

127.2K
Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...
127.2K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.1K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.1K

You might also read

Related Articles

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

Sort by
Same author

Paradoxical Suppression of Exciton Diffusion by Long-Range Interactions: A Large-Scale Nonadiabatic Dynamics Study.

Precision chemistry·2026
Same author

Decoherence-induced adaptive multiconfigurational Ehrenfest dynamics for nonadiabatic scattering simulations.

The Journal of chemical physics·2026
Same author

Unbiased Fuzzy Global Optimization with Complex Three-Body Interactions: The Case of Large (C<sub>60</sub>)<i><sub>N</sub></i> Clusters with the First-Principles PPR Potential.

Journal of chemical theory and computation·2026
Same author

Nonadiabatic molecular dynamics simulations of charge transport in a covalent organic framework.

The Journal of chemical physics·2026
Same author

Site-Specific Ligand Exchange on Colloidal Semiconductor Nanocrystals: On-Edge Exchange versus On-Facet Position Swapping.

ACS nano·2026
Same author

The impact of received support on distressing experiences among nurses as second victims: the mediating role of psychological capital.

BMC nursing·2026

Related Experiment Video

Updated: Jan 30, 2026

Application of Voltage in Dynamic Light Scattering Particle Size Analysis
07:51

Application of Voltage in Dynamic Light Scattering Particle Size Analysis

Published on: January 24, 2020

10.4K

Subspace Surface Hopping with Size-Independent Dynamics.

Jing Qiu1, Xin Bai1, Linjun Wang1

  • 1Center for Chemistry of Novel & High-Performance Materials , and Department of Chemistry , Zhejiang University , Hangzhou 310027 , China.

The Journal of Physical Chemistry Letters
|January 25, 2019
PubMed
Summary
This summary is machine-generated.

We developed a subspace surface hopping strategy to improve nonadiabatic dynamics calculations. This method enhances accuracy and efficiency, especially for complex systems, showing excellent size independence and promising results for realistic applications.

More Related Videos

Real-time Imaging of Plant Cell Surface Dynamics with Variable-angle Epifluorescence Microscopy
06:31

Real-time Imaging of Plant Cell Surface Dynamics with Variable-angle Epifluorescence Microscopy

Published on: December 12, 2015

9.5K
Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

14.9K

Related Experiment Videos

Last Updated: Jan 30, 2026

Application of Voltage in Dynamic Light Scattering Particle Size Analysis
07:51

Application of Voltage in Dynamic Light Scattering Particle Size Analysis

Published on: January 24, 2020

10.4K
Real-time Imaging of Plant Cell Surface Dynamics with Variable-angle Epifluorescence Microscopy
06:31

Real-time Imaging of Plant Cell Surface Dynamics with Variable-angle Epifluorescence Microscopy

Published on: December 12, 2015

9.5K
Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

14.9K

Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Nonadiabatic dynamics are crucial for understanding chemical reactions.
  • Simulating complex surface crossings in these dynamics is computationally challenging.
  • Existing methods like FSSH and GFSH can struggle with accuracy and efficiency.

Purpose of the Study:

  • To introduce a subspace surface hopping strategy for improved nonadiabatic dynamics.
  • To address limitations in simulating complex surface crossings.
  • To enhance the accuracy and efficiency of surface hopping methods.

Main Methods:

  • Developed a subspace crossing correction (SCC) method.
  • Integrated SCC into standard fewest switches surface hopping (FSSH) and global flux surface hopping (GFSH).
  • Tested the SCC-FSSH and SCC-GFSH approaches on Holstein models with over 1000 sites.

Main Results:

  • SCC-FSSH and SCC-GFSH significantly outperform their counterparts using all adiabatic states.
  • Both methods demonstrate excellent size independence with a 1 fs time step.
  • SCC-GFSH accurately describes superexchange without needing nonadiabatic couplings.

Conclusions:

  • The subspace surface hopping strategy offers a more efficient and accurate approach to nonadiabatic dynamics.
  • SCC-FSSH and SCC-GFSH are promising for complex systems and realistic applications.
  • SCC-GFSH provides a robust description of superexchange phenomena.