Related Experiment Video
Updated: May 14, 2025

The Preparation and Properties of Thermo-reversibly Cross-linked Rubber Via Diels-Alder Chemistry
Published on: August 25, 2016
Exploration of the Application of Data-Driven and Generation Models in the Design of Thermoplastic Vulcanizate
Hongyu Yang1, Ce Hu2, Yanhong Liu2
1College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Abstract:
The rapid advancement of big data and artificial intelligence has highlighted the substantial potential of data-driven approaches in polymer material research and development. In the present study, data-driven predictive models were developed to accurately forecast the density, tensile strength, flexural strength and melt mass flow rate of thermoplastic vulcanizate (TPV) rubber. Furthermore, a generation model was used to produce new material formula data for TPV rubber, and predictions were made for the aforementioned properties. The results indicated that the predicted values are in good agreement with experimental data. This study introduces innovative strategies and methodologies for the intelligent design of polymer materials, which could potentially lower research and development costs and accelerate the emergence of novel materials.
Related Concept Videos
Ziegler–Natta Chain-Growth Polymerization: Overview
Polymer Classification: Architecture
Types of Step-Growth Polymers: Polyesters
Polyesters are commonly prepared from terephthalic acid and ethylene glycol; the crude product is known as poly(ethylene terephthalate) or PET. However, polyesters are synthesized industrially by transesterification of dimethyl terephthalate with ethylene glycol at 150 °C. The two reactants and the...
Olefin Metathesis Polymerization: Overview
Ruthenium-based Grubbs catalyst is the most commonly used catalyst for olefin metathesis polymerization. Grubbs catalyst consists...
Olefin Metathesis Polymerization: Ring-Opening Metathesis Polymerization (ROMP)
Polymer Classification: Stereospecificity

