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A computational method for rapid analysis polymer structure and inverse design strategy (RAPSIDY).

Vinson Liao1, Tristan Myers1, Arthi Jayaraman1,2,3

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We developed RAPSIDY, a computational framework for rapid polymer inverse design. It accelerates the discovery of polymer sequences yielding desired material structures and properties, reducing costs significantly.

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Area of Science:

  • Polymer Science
  • Materials Science
  • Computational Chemistry

Background:

  • Designing polymers for specific applications requires navigating vast parameter spaces, linking polymer characteristics to their assembled structures and properties.
  • Existing methods for polymer design and structure prediction are computationally intensive, hindering rapid exploration.
  • Understanding multiscale structural arrangements is crucial for predicting polymer properties but poses significant challenges.

Purpose of the Study:

  • To introduce a computational framework, RAPSIDY (Rapid Analysis of Polymer Structure and Inverse Design strategY), for accelerated inverse design of polymers.
  • To enable fast evaluation of the stability of multiscale polymer structures for given polymer designs.
  • To facilitate the screening of polymer designs for targeted morphologies, reducing computational costs.

Main Methods:

  • Utilized molecular dynamics (MD) simulations with a guiding potential for initializing polymer chains within target morphologies.
  • Applied a guiding potential to initialize polymer chains, then removed it to allow relaxation and structure stabilization.
  • Developed a parallelized screening approach to evaluate the similarity between target and relaxed morphologies, ranking polymer designs.

Main Results:

  • Demonstrated RAPSIDY's capability by identifying polymer sequences for a pentablock copolymer system exhibiting stable double gyroid morphology.
  • Successfully screened numerous polymer designs to identify those likely to form specific target morphologies.
  • Achieved up to a two-orders-of-magnitude reduction in computational costs compared to traditional MD methods.

Conclusions:

  • RAPSIDY significantly accelerates the inverse design process for polymers by efficiently evaluating structure stability.
  • The framework enables rapid exploration of the polymer design parameter space for novel material discovery.
  • This approach facilitates the engineering of advanced polymer materials with tailored properties and structures for specific applications.