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Molecular Dynamics Force-Field Refinement against Quasi-Elastic Neutron Scattering Data
Jose M Borreguero1, Vickie E Lynch1
1Neutron Data Analysis and Visualization Division, Oak Ridge National Laboratory (ORNL) , Oak Ridge, Tennessee, United States.
Journal of Chemical Theory and Computation
|December 1, 2015
Summary
This study introduces a new method to fit molecular dynamics simulations against quasi-elastic neutron scattering data, refining force fields for better accuracy in simulating molecular dynamics.
Area of Science:
- Materials Science
- Computational Chemistry
- Condensed Matter Physics
Background:
- Quasi-elastic neutron scattering (QENS) probes dynamics at length and time scales relevant to molecular dynamics (MD) simulations.
- Current fitting methods rely on time-independent equilibrium measurements, limiting analysis of dynamic data.
- Bridging simulation and experimental dynamics data offers opportunities for enhanced model accuracy.
Purpose of the Study:
- Develop and validate an algorithm to fit simulation-derived incoherent dynamical structure factors against QENS data.
- Address challenges in fitting, including environmental disparities and simulation sampling limitations.
- Refine force-field parameters for molecular systems using experimental dynamics data.
Main Methods:
- Developed an algorithm to fit simulation-derived incoherent dynamical structure factors to QENS data.
- Applied the method to full-atom molecular dynamics simulations of octa-methyl polyhedral oligomeric silsesquioxane.
- Focused on refining the force-field parameter for methyl group rotation activation energy.
Main Results:
- Successfully fitted simulation data to experimental QENS data, probing diffusive dynamics.
- Overcame simulation-experiment environmental disparities and sampling limitations.
- Achieved a simulated activation energy within 5% of the experimentally derived value, well within experimental error.
Conclusions:
- The developed fitting method effectively refines force-field parameters by integrating simulation and QENS dynamics data.
- The methodology shows promise for analyzing other diffusive motions and systems, including coarse-grain models.
- The approach can be extended to coherent dynamic structure factors without additional complexity.

