30 Jun WEBINAR | Corrosion Intelligence: Understanding Materials Degradation Across the Asset Lifecycle
Groot-Ammers | June 30th, 2026

Materials degradation is a critical challenge affecting the performance, safety, and lifetime of assets across energy, nuclear, aerospace, defense, battery, transportation, and industrial sectors. Whether operating in aqueous environments, aggressive chemical processes, electrochemical systems, or high-temperature conditions, materials continuously interact with their surroundings, leading to complex degradation mechanisms that can ultimately impact reliability and operational costs.
DATE & TIME
📆 Tuesday, July 7th, 2026
🕔 10-11 AM or 5-6 PM (CET)
Understanding these mechanisms requires more than a single analytical technique. It demands a comprehensive characterization strategy capable of connecting material composition, surface chemistry, environmental interactions, corrosion initiation, degradation kinetics, corrosion products, and failure mechanisms.
This webinar introduces a lifecycle approach to materials degradation, following the journey from material qualification and surface characterization through corrosion initiation, propagation, failure analysis, and asset life extension. Through examples spanning low-temperature and high-temperature corrosion environments—including industrial processes, batteries, advanced energy systems, aerospace applications, and nuclear technologies—participants will discover how complementary analytical methods provide unique insights at each stage of the degradation process.
The webinar will highlight how techniques such as Raman spectroscopy, GD-OES, ICP-OES, AESEC, elemental analysis (C/S, O/N/H), µ-XRF, particle characterization, BET surface area analysis, ellipsometry, and molecular fluorescence can be integrated into a unified workflow for materials characterization and corrosion studies.
Attendees will gain practical perspectives on selecting the right analytical tools to investigate degradation mechanisms, support materials development, improve reliability, and enable data-driven decisions for asset life extension and performance optimization.
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