A computational molecular design framework for crosslinked polymer networks

Area of Science:

• Polymer Science and Engineering
• Biomaterials Science
• Computational Chemistry

Background:

• Crosslinked polymers are crucial for dental restorative materials, but current options exhibit limited durability in the oral environment.
• Traditional material design relies on time-consuming experimental trial-and-error, hindering rapid innovation in dental polymers.

Purpose of the Study:

• To introduce a computational molecular design (CMD) framework for developing improved crosslinked polymethacrylate dental materials.
• To provide tools for applying CMD to polymer networks, focusing on optimizing monomer selection for enhanced material properties.

Main Methods:

• Development of a mathematical framework with novel data structures for efficient calculation of structural descriptors in polymer networks.
• Formulation of an optimization problem using quantitative structure-property relations (QSPRs) and a heuristic optimization method (Tabu Search) for monomer identification.
• Creation of a software package to grant polymer researchers access to the CMD design framework.

Main Results:

• The proposed framework enables the application of CMD to crosslinked polymer systems, facilitating the design of novel materials.
• The Tabu Search algorithm efficiently identifies candidate monomers, demonstrating independence from specific QSPR types and suitability for combinatorial problems.
• A comprehensive example illustrates the methodology's application to polymethacrylate dental materials.

Conclusions:

• The developed CMD framework offers a powerful, efficient alternative to traditional methods for designing advanced dental polymers.
• This computational approach has the potential to significantly accelerate the discovery and development of more durable and effective dental restorative materials.