# Development of a systematic coarse-grained model for poly(caprolactone) in melt

## TL;DR

This paper presents a simplified computational model for poly(ε-caprolactone) that enables efficient simulation of sustainable polymer materials.

## Contribution

A systematic coarse-grained modeling approach for PCL is developed and validated for accurate and efficient simulations.

## Key findings

- The coarse-grained model successfully reproduces structural and dynamic properties of PCL.
- The model is computationally efficient while maintaining accuracy for biodegradable polymer simulations.
- The methodology facilitates optimization of PCL-based materials for industrial applications.

## Abstract

This study introduces a systematic coarse-graining approach to model poly(ε-caprolactone) (PCL) in its melt state. The primary goal is to provide a simple and adaptable method for creating computational models of biodegradable polymers, which can then be used to study materials with a wide range of molecular weights and compositions that are relevant to industry. This research addresses the growing need for sustainable materials across various industrial applications.

To study long polymer chains, the L-OPLS force field, an adapted version of the OPLS-AA force field, was used for atomistic simulations. The data from these simulations were first thoroughly checked against existing literature and theoretical predictions to ensure their validity. These validated atomistic configurations then became the foundation for developing the coarse-grained model.

The research meticulously measured both the structural and dynamic properties of the PCL at the atomistic and coarse-grained levels. The findings show that the model is successful at accurately reproducing key characteristics across these different levels of resolution.

The methodology presented in this work aims to facilitate the development of computational studies that can help optimize the properties of PCL-based materials. By doing so, it has the potential to reduce the environmental and economic impact of developing new sustainable materials.

This article describes the development and validation of a simplified computational model for a biodegradable polymer called poly(ε-caprolactone), or PCL. PCL is a sustainable alternative to traditional plastics, but simulating its properties for industrially relevant applications, such as in tissue engineering and 3D printing, can be very computationally demanding.

To overcome these computational challenges, a "coarse-grained" (CG) model was developed. This modeling approach simplifies the system by lumping groups of chemically bonded atoms into single beads, which significantly improves computational efficiency while still capturing the material's essential properties. The model was built using a "bottom-up" methodology, where data from more detailed, fine-grained (atomistic) simulations were systematically used to derive the parameters for the reduced-resolution model.

The study found that the coarse-grained model was very successful at reproducing the structural and dynamic properties of PCL. This new methodology is intended to facilitate computational studies, which can help optimize the properties of PCL-based materials and reduce the economic and environmental impact of developing new sustainable materials.