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About this Symposium

Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Bridging Scales: Deformation and Damage Mechanisms in Microstructurally and Compositionally Complex Metallic Alloys
Sponsorship The Minerals, Metals and Materials Society
TMS Materials Processing and Manufacturing Division
TMS: Phase Transformations Committee
TMS: Advanced Characterization, Testing, and Simulation Committee
Organizer(s) Aeriel D. Murphy-Leonard, Ohio State University
Ashley N. Bucsek, University of Michigan
Darren C. Pagan, Pennsylvania State University
Scope This symposium will bring together researchers and practitioners to explore the fundamental mechanisms governing deformation and damage in microstructurally and compositionally complex metallic alloys. Advances in experimental, computational, and theoretical approaches will be highlighted across multiple length scales, from the atomic level to bulk behavior, to address challenges in understanding and predicting the mechanical performance of these advanced materials. Topics of interest include, but are not limited to:
  • Mechanisms of deformation and damage in high-entropy alloys, multiphase alloys, additively manufactured metals, TRIP/TWIP Steels, superalloys, etc.
  • Damage initiation and evolution under extreme conditions (e.g., high temperature, cyclic loading, irradiation).
  • Coupling experimental and computational approaches to predict mechanical behavior.
  • Microstructural design strategies for enhancing mechanical performance and damage tolerance.
  • Emerging techniques for multiscale characterization, including in-situ methods and machine learning-driven approaches.
  • AI-driven materials discovery and design including the integration of machine learning for microstructure-property predictions and accelerated alloy development.

The symposium will feature invited talks from leading experts in academia, industry, and national laboratories, as well as contributed presentations from researchers working in this field. A panel discussion will explore future research directions, industrial applications, and the role of AI and data-driven approaches in advancing the field, providing a platform for collaboration and knowledge exchange.
Abstracts Due 07/01/2025
Proceedings Plan Undecided

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