Crosslinking Rapidly Cured Epoxy Resin Thermosets: Experimental and Computational Modeling and Simulation Study

Area of Science:

• Materials Science
• Computational Chemistry
• Polymer Science

Background:

• Computational modeling is crucial for understanding material properties and atomic structure.
• Existing methods struggle to reliably predict properties of novel materials, especially rapidly cured epoxy resins.
• There is a need for robust protocols for complex polymer systems.

Purpose of the Study:

• To develop and present the first computational modeling and simulation protocol for crosslinking rapidly cured epoxy resin thermosets.
• To utilize solvate ionic liquid (SIL) as a basis for the epoxy resin system.
• To provide a comprehensive prediction of material properties.

Main Methods:

• The protocol integrates quantum mechanics (QMs) and molecular dynamics (MDs) approaches.
• It employs advanced simulation techniques to model the crosslinking process.
• The methodology is designed for reliability and reproducibility.

Main Results:

• The protocol successfully models the crosslinking of epoxy resins.
• It predicts a wide array of thermo-mechanical, chemical, and mechano-chemical properties.
• The simulation results show strong agreement with experimental data.

Conclusions:

• This novel computational protocol offers a reliable method for predicting epoxy resin properties.
• The approach is particularly effective for rapidly cured systems with additives.
• It advances the field of computational materials science for polymer applications.