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Enhancing pressure consistency and transferability of structure-based coarse-graining.

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This study introduces a novel coarse-grained (CG) molecular modeling scheme. It enhances accuracy across wide pressure ranges by modifying radial distribution functions for improved simulations.

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Area of Science:

  • Molecular dynamics simulations
  • Computational chemistry
  • Materials science

Background:

  • Coarse-grained (CG) models simplify molecular simulations for large systems.
  • Current CG models lack representability and transferability, especially across varying pressures.
  • Multi-state iterative Boltzmann inversion (MS-IBI) with pressure correction has limitations in pressure range effectiveness.

Purpose of the Study:

  • To develop an improved CG scheme overcoming limitations of existing methods.
  • To enhance the accuracy and transferability of CG models across a wider range of thermodynamic states.
  • To enable reliable CG simulations for systems with dynamic pressure or density variations.

Main Methods:

  • Proposed a modified CG scheme addressing anisotropic compression of CG beads.
  • Modified radial distribution functions (RDFs) from all-atom (AA) simulations as references for MS-IBI.
  • Developed a method to determine initial non-bonded potential using target RDF and pressure.

Main Results:

  • The developed CG model accurately reproduced RDFs and pressures for n-dodecane across a wide pressure spectrum.
  • The scheme demonstrated effectiveness across low and high-pressure test states.
  • Validated the CG model's performance in diverse thermodynamic conditions.

Conclusions:

  • The modified CG scheme significantly improves the representability and transferability of CG models.
  • This approach overcomes the narrow pressure range limitation of conventional MS-IBI methods.
  • Enables accurate and reliable CG simulations for systems with variable pressure and density.