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Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Local Chemical Ordering and Its Impact on Mechanical Behaviors, Radiation Damage, and Corrosion
Organizer(s) Rodrigo Freitas, Massachusetts Institute of Technology
Mitra Taheri, Johns Hopkins University
Irene Beyerlein, University of California, Santa Barbara
Megan McCarthy, Sandia National Laboratory
Penghui Cao, University of California, Irvine
Yang Yang, The Pennsylvania State University
Scope Recent developments in the field of compositionally complex materials have sparked thought-provoking speculations regarding the role of local chemical ordering (LCO) in various chemistry­–microstructure relationships. The practical motivation is clear: LCO could present a new dimension for tuning and designing the behavior of structural and functional materials. Meanwhile, from a fundamental perspective, the ubiquity of LCO suggests that it might be an indispensable component of predictive physical models of compositionally complex materials.

A comprehensive framework for the thermodynamics and kinetics of LCO and their connections to microstructural evolution and phase stability is still lacking. This absence speaks to a considerable challenge in working with the staggering chemical complexity of LCO, which lies just beyond the capability of current experimental and computational approaches. In this symposium we will explore emerging trends on computational and experimental efforts in understanding LCO and its impact on materials properties. Our goal is to deepen our understanding of novel concepts and highlight methodological challenges hindering the quantitative characterization of LCO.

Specific topics include:
- LCO impact on materials properties.
- LCO impact on defect and microstructure evolution, spanning from atomistic to the mesoscale.
- Nonequilibrium dynamics and kinetics of LCO under extreme driving conditions, including high strain rate, high/cryogenic temperature, radiation, and corrosion
- Experimental characterization of LCO, including electrical resistivity measurements, calorimetry, electron microscopy, and x-ray.
- Simulation and modeling approaches, including first-principles methods, atomistic simulations, thermodynamic modeling, machine learning, and data-science approaches.

Abstracts Due 07/01/2024
Proceedings Plan Undecided
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