SOURCE-LINKED INTELLIGENCE

Understanding degradation mechanisms of metallic materials in extreme environments using element-resolved electrochemistry

CORDIS · observation · Publication date unknown

his will open new avenues for controlling the corrosion of materials in the energy sector. The unique element-resolved database generated from this project will serve as input parameters for training machine learning models aimed at efficiently discovering optimal alloys in specific environments, thereby reducing the consumption of raw and scarce materials during the materials design process. in situ element-resolved electrochemistry; AESEC; corrosion mechanism in extreme electrolytes; spent nuclear waste reprocessing; stainless steels; Ni alloys; database for alloy design

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recordType

award

status

SIGNED

region

EU

value

1499760

unit

EUR