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¹H NMR: Complex Splitting01:13

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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.
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Related Experiment Video

Updated: Apr 12, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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ADAPTIVE MULTILEVEL SPLITTING IN MOLECULAR DYNAMICS SIMULATIONS.

David Aristoff1, Tony Lelièvre2, Christopher G Mayne3

  • 1Department of Mathematics, University of Minnesota, USA.

ESAIM. Proceedings and Surveys
|May 26, 2015
PubMed
Summary
This summary is machine-generated.

Adaptive Multilevel Splitting (AMS) is a rare event sampling method now validated for molecular dynamics simulations. This advancement enables accurate calculations for complex processes like drug dissociation from proteins.

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Area of Science:

  • Computational Chemistry
  • Statistical Mechanics
  • Biophysics

Background:

  • Adaptive Multilevel Splitting (AMS) is a replica-based sampling method for rare events in high-dimensional stochastic simulations.
  • AMS effectively identifies trajectories crossing high potential barriers and estimates their probabilities.
  • Previous work confirmed AMS accuracy in Monte Carlo simulations.

Purpose of the Study:

  • To extend the application of Adaptive Multilevel Splitting (AMS) to molecular dynamics (MD) simulations.
  • To demonstrate the effectiveness of AMS in MD simulations using a test system.

Main Methods:

  • Application of Adaptive Multilevel Splitting (AMS) to molecular dynamics simulations.
  • Validation using a simple test system.

Main Results:

  • Demonstrated the effectiveness of AMS in molecular dynamics simulations.
  • Confirmed the validity of AMS regardless of reaction coordinate choice in the limit of large replicas.

Conclusions:

  • Adaptive Multilevel Splitting (AMS) is now a viable method for molecular dynamics simulations.
  • This opens pathways for calculating characteristic times of processes like drug dissociation from protein targets.