Machine learning for revealing the relationship between the process–structure–properties of polypropylene in-reactor alloys
Polypropylene
DOI:
10.1039/d3re00504f
Publication Date:
2024-02-08T01:41:10Z
AUTHORS (4)
ABSTRACT
Polypropylene reactor alloys with distinct structures were synthesized, and machine learning models developed to reveal the relationship between process–structure–properties optimize process conditions.
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