Abstract

Polyhydroxyalkanoates (PHAs) have emerged as a promising class of biosynthesizable, biocompatible, and biodegradable polymers to replace petroleum-based plastics for addressing the global plastic pollution problem. Although PHAs offer a wide range of chemical diversity, the structure–property relationships in this class of polymers remain poorly established. In particular, the available experimental data on the mechanical properties is scarce. In this contribution, we have used molecular dynamics simulations employing a recently developed forcefield to predict chemical trends in mechanical properties of PHAs. Specifically, we make predictions for Young’s modulus, and yield stress for a wide range of PHAs that exhibit varying lengths of backbone and side chains as well as different side chain functional groups. Deformation simulations were performed at six different strain rates and six different temperatures to elucidate their influence on the mechanical properties. Our results indicate that Young’s modulus and yield stress decrease systematically with increase in the number of carbon atoms in the side chain as well as in the polymer backbone. In addition, we find that the mechanical properties were strongly correlated with the chemical nature of the functional group. The functional groups that enhance the interchain interactions lead to an enhancement in both the Young’s modulus and yield stress. Finally, we applied the developed methodology to study composition-dependence of the mechanical properties for a selected set of binary and ternary copolymers. Overall, our work not only provides insights into rational design rules for tailoring mechanical properties in PHAs, but also opens up avenues for future high throughput atomistic simulation studies geared towards identifying functional PHA polymer candidates for targeted applications.

Highlights

  • The plastics industry has revolutionized our modern society and it is hard to imagine the world around us without plastics

  • In our previous work [29], we developed a modified polymer consistent force field to represent PHA-based polymers by refining the torsional potentials associated with the polymer backbone based on density functional theory (DFT) calculations

  • Overall the results presented above indicate that our simulation approach can capture trends in the target mechanical properties as a function of temperature, strain rate, as well as systematic variations in the structural and chemical aspects of the motifs forming the polymer in a physically meaningful manner

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Summary

Introduction

The plastics industry has revolutionized our modern society and it is hard to imagine the world around us without plastics. The monomers can further be combined, taken two or more at a time, to form multi-component copolymers or polymer blends These multi-component systems can be generated at different compositions (ratio of different monomers) as well as configurations (relative position of different monomers across the polymer backbone), which further broadens the chemical design space. A synthesis strategy solely based on chemical-intuition is unlikely to be efficient in exploring such a large chemical space, in order to design a polymer for a specific application. For this reason, more efficient and predictive methods based on state-of-the-art computational approaches that enable accurate property predictions for a better understanding of quantitative structure–property relationships (QSPR) in PHA chemical space are desired

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