Organizers:
- Lin Li, Arizona State University
- Yang Yang, Penn State University
- Qi An, Iowa State University
- Penghui Cao, University of California Irvine
- Yue Fan, University of Michigan Ann Arbor
Description:
High entropy alloys and metallic glasses are two classes of complex materials, distinguished by chemical disorder and structural disorder, respectively. Over the past decades, these materials have gained significant interest for their exceptional properties in mechanical behavior, irradiation tolerance, and diverse functionalities spanning catalysis, magnetism, and electronics. However, predicting their inherent local structures and establishing robust processing-structure-property relationships remain critical and challenging tasks that are essential for advancing their applications.
This symposium aims to highlight recent advances in understanding the local structures and intriguing properties in high entropy alloys and metallic glasses through experimental, computational, theoretical, and data-driven approaches. Special emphasis will be placed on the development of novel concepts and methodologies that elucidate how local structures—such as local chemical ordering, nanoscale heterogeneity, and short-to-medium range order—influence key properties, including deformation mechanisms, thermodynamics and kinetics, aging/rejuvenation phenomena, and irradiation tolerance, and environmental degradation.
Topics of interest:
The topics of interest include, but are not limited to, the following:
- Characterization and modeling of local ordering in topology and chemistry, as well as nanoscale heterogeneity in high-entropy alloys and metallic glasses.
- Mechanical behaviors and deformation mechanisms, including dislocation, deformation twinning, stacking faults, phase transformations, elasticity, plasticity, shear banding, fracture, and failure.
- Non-equilibrium dynamics under extreme conditions, such as irradiation and high temperatures, along with underlying atomistic mechanisms like point-defect diffusion, annihilation, and the evolution of irradiation damage.
- Environmental degradation behaviors, including aqueous and high-temperature corrosion, oxidation, hydrogen embrittlement, and the underlying mechanisms such as selective oxidation, non-equilibrium defect formation, and complex synergies between materials and environments.
- Artificial intelligence and multiscale modeling algorithms, including machine learning, thermodynamic calculations, mesoscale modeling, atomistic simulations, first-principles methods, and energy landscape sampling.
- Advanced manufacturing of high-entropy alloys and metallic glasses to intelligently harness the synergy of their remarkable properties, along with the development of cellular microstructures, dual-phase materials, or novel composites.