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

Transition State Theory01:25

Transition State Theory

Transition-state theory, also known as activated-complex theory, provides a molecular-level explanation of reaction rates in both gas-phase and solution-phase reactions. It extends earlier kinetic models by considering the formation of a short-lived, high-energy configuration during a reaction.The progress of a chemical reaction can be represented using a reaction profile, which plots potential energy against the reaction coordinate. As two reactant molecules approach one another, their...
Reaction Mechanisms: Rate-limiting Step Approximation01:29

Reaction Mechanisms: Rate-limiting Step Approximation

The rate-determining step, or RDS, in a chemical reaction is the slowest step that determines the overall reaction rate. It is identified by using the observed rate law and typically involves approximation methods like the RDS approximation or the steady-state approximation.In the RDS approximation, also known as the rate-limiting-step or equilibrium approximation, the reaction mechanism consists of one or more reversible reactions near equilibrium, followed by a slower RDS, and then one or...
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
Reaction Mechanisms: The Steady-State Approximation01:26

Reaction Mechanisms: The Steady-State Approximation

The steady-state approximation, also referred to as the quasi-steady-state approximation to differentiate it from a true steady state, is a widely used method for simplifying calculations in complex reaction mechanisms. This approach is particularly useful when dealing with multi-step reactions that involve reverse reactions or several steps, which can significantly increase mathematical complexity and make the reactions nearly unsolvable analytically.The steady-state approximation operates on...
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
Pharmacokinetic–Pharmacodynamic Relationship: Model Components01:14

Pharmacokinetic–Pharmacodynamic Relationship: Model Components

Pharmacokinetic-pharmacodynamic (PK–PD) modeling is essential in drug development and clinical pharmacology. It provides a quantitative framework to predict drug behavior and response over time. This approach integrates pharmacokinetics (PK), which describes the drug's absorption, distribution, metabolism, and excretion, with pharmacodynamics (PD), which characterizes the drug’s biological effects and mechanisms of action.The disposition kinetics of a drug determine its plasma...

You might also read

Related Articles

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

Sort by
Same author

Quantum Transition Rates in Arbitrary Physical Processes.

Physical review letters·2026
Same author

Correction to "Synthesis of Reversible Sequence-Defined Oligourethane Macrocycles through Click and Declick Thiol-Amine Conjugation with a Meldrum's Acid Derived Conjugate Acceptor".

The Journal of organic chemistry·2026
Same author

Unraveling Water-Defect Coupled Degradation via Deuterium Isotope Labeling in Prussian Blue Analogue Cathodes for Long-Life Sodium-Ion Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Synthesis of Reversible Sequence-Defined Oligourethane Macrocycles through Click and Declick Thiol-Amine Conjugation with a Meldrum's Acid-Derived Conjugate Acceptor.

The Journal of organic chemistry·2026
Same author

Operando Observation of Inter-Particle Li<sup>+</sup> Transport in Layered Bimetallic Sulfides for High-Rate Lithium-Sulfur Batteries.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Transition State Theory for Dissociation of Dynamic Bonding Networks.

Journal of chemical theory and computation·2026

Related Experiment Video

Updated: Jun 6, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Communication: κ-dynamics--an exact method for accelerating rare event classical molecular dynamics.

Chun-Yaung Lu1, Dmitrii E Makarov, Graeme Henkelman

  • 1Department of Chemistry and Biochemistry and Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas 78712-0165, USA.

The Journal of Chemical Physics
|December 8, 2010
PubMed
Summary
This summary is machine-generated.

κ-dynamics accelerates molecular dynamics simulations for systems with slow transitions. This method generates statistically exact state-to-state trajectories by sampling transition paths efficiently.

More Related Videos

New Features in Visual Dynamics 3.0
05:00

New Features in Visual Dynamics 3.0

Published on: August 9, 2024

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

Related Experiment Videos

Last Updated: Jun 6, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

New Features in Visual Dynamics 3.0
05:00

New Features in Visual Dynamics 3.0

Published on: August 9, 2024

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

Area of Science:

  • Computational Chemistry
  • Chemical Physics
  • Molecular Dynamics

Background:

  • Simulating systems with slow transitions between stable states is computationally challenging.
  • Traditional molecular dynamics methods struggle with long timescales.
  • Accelerated molecular dynamics methods are needed to overcome these limitations.

Purpose of the Study:

  • To introduce and validate κ-dynamics, an accelerated molecular dynamics method.
  • To enable statistically exact simulations of systems with slow dynamics.
  • To provide an efficient approach for studying transitions between molecular states.

Main Methods:

  • κ-dynamics integrates short trajectories from a transition state.
  • It identifies the first trajectory leading to a product without recrossing.
  • Transition times are sampled based on transition state theory rates and attempted trajectories.

Main Results:

  • The method generates statistically exact state-to-state trajectories.
  • It accurately captures the dynamics of systems with slow transitions.
  • The procedure, when repeated from visited states, ensures comprehensive trajectory generation.

Conclusions:

  • κ-dynamics offers a powerful and efficient approach for molecular dynamics simulations.
  • It significantly reduces the computational cost for studying slow transitions.
  • This method provides a statistically rigorous way to analyze complex molecular processes.