COMPUTATIONAL APPROACHES IN RUBBER POLYMERIZATION: LEVERAGING BIOINFORMATICS FOR OPTIMIZING ELASTOMERIC PROPERTIES
Keywords:
Rubber Polymerization, Bioinformatics, Elastomer Optimization, Computational Modeling, Polymer Properties, Molecular Dynamics, Polymer ScienceAbstract
The polymerization of rubber is a complex process that significantly influences the elastomeric properties of the final product. Recent advances in computational techniques, particularly in bioinformatics, offer promising tools for optimizing the properties of synthetic and natural rubber. This paper reviews the latest computational approaches applied to rubber polymerization, focusing on the integration of bioinformatics to model and predict polymer structures. By analyzing bioinformatics datasets and computational models, researchers can now more effectively design elastomers with tailored mechanical properties such as tensile strength, elasticity, and thermal stability. Furthermore, computational simulations have been applied to assess polymerization kinetics, molecular interactions, and the influence of environmental factors on polymer performance. This paper also highlights the implications of these computational methods in industrial applications and future research directions in polymer science.
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