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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
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Modeling developments in corrosion science
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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.