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Finite Element Modelling of a Cellular Electric Microenvironment
Published on: May 18, 2021
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Spherical tensor multipolar electrostatics and smooth particle mesh Ewald summation: a theoretical study.
François Zielinski1, Paul L A Popelier
1Manchester Institute of Biotechnology (MIB), University of Manchester, 131 Princess Street, Manchester, M1 7DN, Great Britain, UK.
Journal of Molecular Modeling
|June 25, 2014
Summary
Classical molecular mechanics force fields can be improved using multipolar electrostatics with molecular flexibility. Combining DL_POLY_4
Area of Science:
- Computational Chemistry
- Molecular Dynamics
- Electrostatics
Background:
- Classical molecular mechanics force fields often use point-charge approximations.
- Multipolar expansions offer a more accurate representation of electrostatics.
- Integrating molecular flexibility with multipolar electrostatics has been a recent advancement.
Purpose of the Study:
- To explore the theoretical implications of merging smooth particle mesh Ewald (SPME) with spherical multipole electrostatics.
- To address the challenge of combining the DL_POLY_4 package's flexibility handling with DL_MULTI's multipolar capabilities.
- To clarify the principles and equations behind DL_MULTI.
Main Methods:
- Theoretical exploration of merging SPME with spherical multipole electrostatics.
- Reformulation of DL_MULTI equations using complex number algebra.
- Analysis of the impact of molecular flexibility on multipolar electrostatics calculations.
Main Results:
- The study theoretically investigates the repercussions of merging SPME with spherical multipole electrostatics.
- Mathematical reformulation of DL_MULTI equations provides clarity.
- Challenges in code design and implementation for future developments are discussed.
Conclusions:
- Merging SPME with spherical multipole electrostatics presents theoretical and practical challenges.
- DL_POLY_4 offers a sustainable framework for incorporating molecular flexibility with multipolar electrostatics.
- Further development is needed to effectively combine these advanced computational methods.
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