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The EIT Raw Materials Cortools project develops corrosion on-line monitoring and prediction software tools. The project consortium includes Boliden, DMS, Tecnalia, Ferritico, Outokumpu, Outotec, VTT and ZAG.

This survey investigates the market demand for machine learning steel properties simulation support, focusing on corrosion, and is hosted by Cortools machine learning partner Ferritico.

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* 1. What is your role(s) in the steel industry?

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* 2. Are you doing simulations in your work, i.e. approximate imitation or prediction of the behaviour of a process or a material, based on steel properties (chemical, mechanical, physical or thermodynamical) or degradation mechanisms?

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