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Meeting 2022 TMS Annual Meeting & Exhibition
Symposium Failure, and a Career That is Anything But: An LMD Symposium Honoring J. Wayne Jones
Presentation Title Redefining Liquid Metal Embrittlement: Utilizing Machine Learning to Unravel a Liquid Metal Enigma
Author(s) Justin E. Norkett, Cameron Frampton, Victoria M Miller
On-Site Speaker (Planned) Justin E. Norkett
Abstract Scope Liquid metal embrittlement (LME) has been a persistent curiosity of metallurgists for over 100 years. In that time, and despite numerous efforts, no model has been able to reliably predict embrittlement for any arbitrary combination of liquid and solid metals. This is in large part due to the absence of deep mechanistic understanding of LME. The authors recently proposed a new interpretation of the phenomenology of LME as the result and interplay of no less than three distinct mechanisms. In this talk, the iterative improvement of a machine learning model capable of classifying LME by active mechanism will be described. The experimental work and the model refinements have expanded the understanding of LME phenomena; implications for the future of the field are discussed.
Proceedings Inclusion? Planned:
Keywords Environmental Effects, Other,


Accelerating Understanding of Fatigue of Metals
Automotive Unobtanium: Material Challenges for the Future of Transportation
Capturing the Full Range
Contributions of R. F. Mehl (Carnegie-Mellon University; 1932-76) to Metal Fatigue
Hold Time Low Cycle Fatigue of Ni-base Single-crystal Superalloys
Redefining Liquid Metal Embrittlement: Utilizing Machine Learning to Unravel a Liquid Metal Enigma
Reducing Uncertainty: Reflections on Establishing Life Limits
Strain Localization and Very High Cycle Fatigue
Tear Resistance of AA7075-T6 Sheet at Room Temperature and 200 C
The Elevated Temperature High Cycle Fatigue Behavior of an Additively Manufactured Al-Ce-Ni-Mn Alloy
Understanding Fatigue Damage of Metallic Materials in 4D: Probing Microstructural Evolution in Real-time
Very High Cycle Fatigue (VHCF) Phenomena – Influence of Microstructure on Crack Growth in the Near-threshold Regime Investigated by Means of Ultrasonic Fatigue Testing

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