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Chemistry informed machine learning in emulsion polymerization processes and products

CORDIS · observation · Publication date unknown

Chemistry informed machine learning in emulsion polymerization processes and products Machine learning (ML) systems continue to revolutionize many aspects of daily life, but despite their immense potential have yet to impact significantly in polymer science. One major issue that is hindering the more widespread use of machine learning in polymer science, and many other physical sciences, lies in the challenges in amassing sufficient data to efficiently train machine learning models. This in itself is not necessarily a problem, and is an issue frequently encountered in the machine learning field, but can only be resolved by a thorough understanding of the science behind the problem of interest. CINEMA aims to providing a training platform that will allow the next generation of polymer scientists to take polymer science into the 21st century through incorporating the fundamental knowledge gained over many ye

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recordType

award

status

SIGNED

region

EU

value

2062771.2

unit

EUR