چکیده مقاله
Epoxy resin is extensively employed in a wide range of applications due to its exceptional properties Theperformance of epoxy systems exhibits substantial variations based on the specific combination of the baseresin and curing agent The characteristics of the resin system undergo significant variations because of thediverse combinations of the base resin, curing agent, and toughening agent Thus, predicting the properties ofepoxy resin composites is a challenge for researchers since the simulation process can be affected by variousvariables Molecular dynamics MD simulation has always been used as an effective tool for designing andpredicting the properties of epoxy resin systems However, molecular dynamic approaches can be timeconsumingand, in some cases, costly Recently, the integration of machine learning ML with moleculardynamics MD simulations has attracted the attention of researchers as an effective tool for designing epoxyresin composites Herein, the attempts to predict the properties of epoxy systems have been reviewed in thispaper to fully investigate the advantages of the integration of molecular dynamics MD and machinelearning approaches Moreover, the prospects and research gaps of this new method have been expressed forfuture research opportunities
کلیدواژهها
نویسندگان
Pooya Jafari
Centre for Future Materials, University of Southern Queensland, Springfield ۴۳۴۴, Australia
Pingan Song
School of Agriculture and Environmental Science, University of Southern Queensland, Springfield ۴۳۴۴,Australia
شیوه ارجاع
Jafari, Pooya and Song, Pingan,1402,An Overview of Utilizing Artificial Intelligence in theSimulation Process and Predicting Epoxy Resin Properties,the seventh International Conference on Technology Development in Chemical Engineering,Tehran
ارائهشده در
مجموعه مقالات هفتمین کنفرانس بین المللی توسعه فناوری در مهندسی شیمی30 بهمن 1402 · تهران