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Meeting MS&T25: Materials Science & Technology
Symposium Understanding and Mitigating High Temperature Corrosion Processes Through Synergistic Integration of Experimental, Computational and Manufacturing Techniques
Sponsorship TMS: Corrosion and Environmental Effects Committee
Organizer(s) Rishi Pillai, Oak Ridge National Laboratory
Brian Gleeson, University of Pittsburgh
Tianle Cheng, National Energy Technology Laboratory
Mathias C. Galetz, DECHEMA-Forschungsinstitut
Scope This symposium aims to create a platform for experimentalists and modelers from academia and industry alike to closely interact and engage in enhancing current mechanistic understanding of high temperature corrosion (> 500 C) processes and developing strategies to mitigate corrosion in structural materials. Experimentalists can learn about the latest developments in computational assisted design of materials for improved corrosion resistance while modelers can better understand the practical needs for developing and implementing corrosion-resistant materials. Predictive modeling of high temperature corrosion is challenging due to the complexity of the underlying mechanisms, their dependence on the microstructure of the oxide and the substrate, surface preparation, and lack of certain thermodynamic-kinetic data. Advances in computing power have provided the impetus for application of modeling methods that utilize one or more approaches such as machine learning, molecular dynamics, density functional theory and phase field to develop new materials and to better understand factors that affect or dominate the corrosion resistance. The ultimate goal is to develop experimentally validated and practically useful modeling methods. Experimental and computational modeling studies are especially welcome if they (a) provide insights into the mechanisms of corrosion, (b) allow for advanced prediction of corrosion induced degradation, and (c) lay a foundation for the development of corrosion resistant materials. Mitigation strategies can include corrosion resistant coatings or the use of advanced manufacturing methods.

The symposium encourages, but is not limited to, the following areas of interest:

1. High temperature corrosion processes

2. Corrosion-induced microstructural evolution (oxide scale morphology and microstructure of the substrate material)

3. Investigations into failure mode, e.g., oxide scale cracking and spallation

4. Novel corrosion resistant coatings

5. Use of manufacturing techniques to mitigate corrosion

6. Multiscale/multiphysics modeling strategies to predict influence of the composition of the substrate and exposure conditions on corrosion behavior

7. Machine learning and/or ICME for design of corrosion resistant materials

8. Predictive modelling of materials degradation and lifetime in corrosive environments

Abstracts Due 05/01/2025
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