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The EIT Raw Materials EndureIT project develops machine learning based steel embrittlement prediction software. The project consortium includes KTH, CEA, Ferritico and Outokumpu.

This survey investigates the market demand for machine learning steel properties simulation support, focusing on embrittlement, and is hosted by EndureIT machine learning partner Ferritico. Your answers will be a highly valuable contribution to the EndureIT development.

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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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