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Meeting Materials Science & Technology 2020
Symposium Computation Assisted Materials Development for Improved Corrosion Resistance
Presentation Title Applying Machine Learning to Determine the Corrosion Resistance of Alloys
Author(s) Szu-Chia Chien, Wolfgang Windl, Gerald Frankel
On-Site Speaker (Planned) Szu-Chia Chien
Abstract Scope Designing good corrosion resistant alloys is of utmost importance in many applications. The current guide for determining the corrosion resistance, pitting resistance equivalence number (PREN), provides an empirical value based on the chemical compositions without considering the environmental parameters such as the acidity or temperatures that are believed to be critically important in corrosion. Therefore in this work we have compiled and analyzed a large number of experimental data from the literature on corrosion of alloys. This database includes the alloy composition, electrochemical parameters as well as polarization testing parameters. Machine learning approaches (lasso and ridge regression) were used to find the unexpected correlations between aforementioned experimental parameters and the materials’ properties as well as to identify key features that govern the corrosion resistance. We anticipate that this work can provide a new guidance for rational design of corrosion resistant alloys.
Proceedings Inclusion? Planned: At-meeting proceedings

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Applying Machine Learning to Determine the Corrosion Resistance of Alloys
Assessing High Temperature Durability for Long-term Applications
Development of a Multiscale Corrosion Model for Valve Steels in a Gasoline Engine Environment
High Temperature Oxidation Lifetime Modeling of FeCr and NiCr Foils in Water Vapor
Introductory Comments: Computation Assisted Materials Development for Improved Corrosion Resistance
Machine Learning to Predict Cyclic Oxidation of NiCr-based alloys
Metal-Oxide Bond-energy Models for Bond Energies of Alloy Oxides in Corrosion
Simulation of Dissolution of \Gamma\Prime Precipitates in Ni-base Superalloys during Oxidation
Tailoring the Microstructure of Eutectoid Steels during Annealing for Improved Corrosion Resistance: Insights from Phase-field Simulations

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