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About this Symposium

Meeting 2027 TMS Annual Meeting & Exhibition
Symposium Phase Transformations and Microstructural Evolution
Sponsorship
Organizer(s) Le Zhou, Marquette University
Arezoo Zare, Washington State University
Adriana Eres-Castellanos, Los Alamos National Laboratory
Abhishek Sharma, Worcester Polytechnic Institute
Bryan Lim, Oak Ridge National Laboratory
Daniela P. M. Fonseca, Lehigh University
Bharat Gwalani, North Carolina State University
Ashley E. Paz y Puente, University of Cincinnati
Karthikeyan Hariharan, Indian Institute of Technology, Bombay
Scope Harnessing phase transformations is one of the most effective and versatile approaches for designing and controlling microstructures in materials across a broad range of structural and functional applications. This symposium continues a longstanding series of annual TMS symposia dedicated to phase transformations and microstructural evolution occurring during materials processing as well as under service and extreme operating conditions. The objective of the symposium is to critically assess the current state of knowledge, identify emerging trends, and highlight new opportunities in the understanding and controlling phase transformations and microstructural evolution.

Topics of interest include, but are not limited to:
1. Fundamental phenomena of phase transformations and microstructural evolution in materials, including ferrous alloys and non-ferrous alloys, ceramics, semiconductors, and other advanced material systems.
2. Mechanisms of phase transformations, encompassing solidification, solid-state transformations, and both diffusion-controlled and diffusionless processes.
3. Engineering and tailoring phase transformation pathways for structural, functional and energy-related applications.
4. Understanding phase transformations and microstructural evolution during advanced materials processing and under extreme environments (e.g., high temperature, high strain rate, shock loading, complex state of stress, irradiation, or chemical exposure).
5. Integration of advanced experimental techniques, computational modeling and simulation, data science and machine learning approaches to discover, understand and predict phase transformation and microstructure evolution.

Abstracts Due 07/01/2026
Proceedings Plan Undecided

PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

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