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Chemistry informed machine learning in emulsion polymerization processes and products

Objetivo

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 years of research into the training of machine learning systems. Such a knowledge-driven machine learning approach puts the scientific issues of CINEMA at the forefront of the use of machine learning in fundamental scientific problems, and also provides the perfect training platform for the next generation of scientists, for whom the use of AI will be an invaluable tool.

Ámbito científico (EuroSciVoc)

Programa(s)

Tema(s)

Régimen de financiación

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Convocatoria de propuestas

(se abrirá en una nueva ventana) HORIZON-MSCA-2021-DN-01

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Coordinador

UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA
Aportación neta de la UEn
€ 503 942,40
Dirección
BARRIO SARRIENA S N
48940 Leioa
España
Región
Noreste País Vasco Bizkaia
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
Sin datos

Participantes (3)

Socios (5)