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Backmapping coarse-grained polymer models under sheared nonequilibrium conditions.

Xiaoyu Chen1, Paola Carbone, Giuseppe Santangelo

  • 1National Laboratory of Solid State Microstructures, Nanjing University, Nanjing, 210093, PR China. chenxiaoyu.nanjing@gmail.com

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Summary
This summary is machine-generated.

This study extends polymer backmapping to nonequilibrium shear flow. A new protocol maintains global deformation during atomistic reconstruction, minimizing artifacts for accurate simulations.

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Area of Science:

  • Polymer Physics
  • Computational Materials Science
  • Molecular Dynamics

Background:

  • Coarse-grained (CG) polymer models simplify complex systems but lack atomistic detail.
  • Reintroducing atomistic detail (backmapping) is crucial for accurate property prediction.
  • Existing backmapping methods are often limited to equilibrium conditions.

Purpose of the Study:

  • To extend the backmapping technique to nonequilibrium polymer systems.
  • To address challenges in backmapping CG polymer models under shear flow.
  • To develop a robust protocol for accurate atomistic reconstruction of deformed polymer structures.

Main Methods:

  • Developed a backmapping protocol that preserves global deformation using position restraints.
  • Performed local atomistic structure optimization within these restraints.
  • Iteratively applied varied restraint patterns to minimize segment isolation artifacts.
  • Validated the procedure using atactic polystyrene under steady shear flow.

Main Results:

  • Successfully backmapped a coarse-grained polymer model subjected to nonequilibrium shear flow.
  • The proposed protocol effectively maintained the overall deformed polymer conformation.
  • Artifacts like segment isolation were significantly minimized through iterative restraint application.
  • Demonstrated the method's efficacy on a realistic polymer system.

Conclusions:

  • The developed backmapping protocol enables accurate atomistic reconstruction of polymers under nonequilibrium shear flow.
  • This advancement is critical for simulating polymer dynamics and properties in complex flow conditions.
  • The method provides a reliable approach for bridging CG and atomistic simulations in nonequilibrium scenarios.