| Organizer(s) |
Kelvin Yu Xuan Xie, Texas A&M University
Eason Yi-Sheng Chen, Nanyang Technological University
Zhiwei Peng, Central South University
Mingming Zhang, Baowu Ouyeel Co. Ltd
Jian Li, CanmetMATERIALS
Bowen Li, Michigan Technological University
Sergio Neves Monteiro, Instituto Militar de Engenharia
Jiann-Yang Hwang, Michigan Technological University
Eren Yunus Kalay, Middle East Technical University
Juan P. Escobedo-Diaz, University of New South Wales
John S. Carpenter, Los Alamos National Laboratory
Shadia Jamil Ikhmayies, The University of Jordan |
| Scope |
This symposium highlights recent advances in materials characterization that enable quantitative understanding of structure–process–property relationships in minerals, metals, and functional materials. Emphasis is placed on how modern characterization techniques inform extraction, processing, and performance, rather than on processing or materials development alone.
Topics of interest focus on in-situ characterization approaches applied to metallic, ceramic, glassy, polymeric, carbon-based, and energy-related materials. Contributions that link characterization results to processing pathways, microstructural evolution, and material functionality are particularly encouraged.
Areas of interest include, but are not limited to:
- Advanced and in-situ characterization methods for probing microstructural evolution during extraction, processing, and service.
- Multiscale in-situ characterization of structural, morphological, and topographical features from the macro- to nano-scale.
- Developments in instrumentation and techniques for microstructure and performance evaluation, such as X-ray and neutron methods, computed tomography, electron microscopy (SEM, FIB, TEM), and complementary spectroscopy and diffraction techniques.
- 2D and 3D data analysis and modeling approaches that support in-situ materials characterization and interpretation.
- Applications of artificial intelligence and machine learning for materials in-situ characterization, including image analysis, feature extraction, data fusion, and accelerated interpretation of multiscale characterization data.
Symposium Dynamics
Proceedings papers are encouraged but not required for oral presentations. Awards will recognize outstanding contributions based on the combined quality of oral presentations and written proceedings papers. A poster session will also be held, with awards for best posters. |