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About this Symposium
Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Computational Thermodynamics and Kinetics
Sponsorship
Organizer(s) Damien Tourret, IMDEA Materials Institute
Soumendu Bagchi, Oak Ridge National Laboratory
Sibylle Gemming, Technische Universität Chemnitz
Nele Marie Moelans, KU Leuven
Krishna Pitike, Pacific Northwest National Laboratory
Mira Todorova, Max Planck Institute for Sustainable Materials
Scope The annual Computational Thermodynamics and Kinetics (CTK) Symposium, celebrating in 2026 its 25th anniversary, showcases cutting-edge advances in computational methods to deepen our understanding of the thermodynamic and kinetic behavior and properties of both structural and functional materials. The symposium scope spans a broad range of scales, methods (e.g. electronic structure theory, density functional theory, ab initio, molecular dynamics, (kinetic) Monte Carlo, phase-field, CALPHAD, etc.) and applications in a wide range of materials (e.g. metals, alloys, semiconductors, composites, and more), enabling transformative insights into the stability, synthesis, processing, and performance of materials.

Topics of interest include but are not limited to:
• Innovative computational approaches and workflows for accelerating materials discovery and design;
• Prediction of materials properties (mechanics, chemistry, electronic, transport, magnetism, etc.);
• Computational models of phase prediction, equilibria, stability, and transformations;
• Defects and defect phases – prediction, equilibria, nucleation, growth, stability and transformations;
• Effect of external and internal constraints (elastic, plastic, electric, magnetic, vibrational/entropic, etc.) on the stability, microstructure, and properties of materials;
• Alloy design, microstructure control, multi-phase/multicomponent systems;
• Computational modeling of rare events, systems out of equilibrium, and materials at extremes;
• Integration of CTK with experiments and computationally guided synthesis of materials;
• Advanced statistical and data-based methods (e.g. machine learning, uncertainty quantification) for CTK.
This symposium invites submissions that present novel tools, validate computational models, or push the boundaries of materials science through interdisciplinary approaches. Contributions demonstrating the integration of computational tools with experiments, advanced characterization, and/or novel technological and/or industrial applications, are strongly encouraged.

Abstracts Due 07/01/2025
Proceedings Plan Undecided
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE
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