DATACOR
Smart Data to Design Corrosion Inhibitors
DATACOR - “Smart Data to Design Corrosion Inhibitors” is a project that is running at the University of Aveiro (UA), in Portugal, and involves a multidisciplinary team with expertise in molecular modeling, machine learning and corrosion science to obtain a predictive of model of corrosion inhibitor efficiencies of organic compounds. Machine learning techniques use a combination of experimental corrosion data with information obtained by means of computational calculations for the adsorption and self-assembly of corrosion inhibitors onto metallic surfaces.
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DataCor is accelerating the discovery of new organic corrosion inhibitors to be embedded in coatings for the protection of metallic alloys and substitute extremely hazardous traditional technologies.
DATACOR Approach
Modeling developments in corrosion science
Thanks are due to project DataCor (refs. POCI-01-0145-FEDER-030256 and PTDC/QUI-QFI/30256/2017) and project CICECO-Aveiro Institute of Materials, UIDB/50011/2020 & UIDP/50011/2020, financed by national funds through the Fundação para a Ciência e a Tecnologia (FCT/MCTES) and co-financed by FEDER under the PT2020 Partnership Agreement.