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Stability, Speed, and Constraints for Structural Coarse-Graining in VOTCA.

Marvin P Bernhardt1, Martin Hanke2, Nico F A van der Vegt1

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This study introduces faster, more stable iterative methods for structural coarse-graining, enabling accurate derivation of pair potentials for complex molecular systems and mixtures.

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Area of Science:

  • Computational chemistry
  • Statistical mechanics
  • Materials science

Background:

  • Structural coarse-graining aims to derive effective potentials from structural data.
  • Existing iterative methods face challenges in speed, stability, and physical realism.
  • Accurate potentials are crucial for simulating complex molecular systems.

Purpose of the Study:

  • To develop improved iterative methods for solving the inverse problem in structural coarse-graining.
  • To enhance the speed, stability, and physical representability of derived pair potentials.
  • To extend coarse-graining methods to systems with bonds and mixtures.

Main Methods:

  • Derivation of fast Gauss-Newton schemes based on integral equation theory.
  • Investigation and modification of stability issues in iterative methods.
  • Constraining pair potentials to reproduce physical properties like pressure and enthalpy of vaporization.

Main Results:

  • Development of efficient iterative schemes comparable to inverse Monte Carlo in speed.
  • Successful application to nine different solvents and their mixtures.
  • Implementation of all methods within the open-source VOTCA software framework.

Conclusions:

  • The developed methods offer significant improvements for systematic coarse-graining.
  • The approach provides a robust framework for deriving accurate coarse-grained force fields.
  • Open-source implementation facilitates wider adoption and further research.