The symposium will emphasize interdisciplinary discussions bridging experimental and computational approaches. By convening experts in theory, modeling, artificial intelligence, advanced synthesis, and characterization, it seeks to foster collaborations that redefine alloy science. Topics will include, but are not limited to:

• Theoretical and Computational Advances: Leveraging theoretical insights and computational tools to develop advanced models linking alloy composition, microstructure, and properties. This includes enabling enhancements in mechanical, magnetic, electronic, and photonic performance of multicomponent alloys.
• Advanced Experimental Techniques: Utilizing cutting-edge synthetic tools, high-throughput autonomous experimentation, and advanced characterization techniques to accelerate the understanding of thermodynamic stability and kinetic behaviors in alloys.
• Experimental-Computational Synergy: Combining experimental findings with computational multi-scale modeling to deepen the understanding of alloy thermodynamics and kinetics. The goal is to foster a synergy between experimental and computational methodologies to drive innovation in alloy research.
• Rapid and Automated Alloy Design: Highlighting recent advances in the development of accelerated workflows for alloy discovery and optimization, including high-throughput screening, autonomous experimentation, and integration of machine learning (ML) and artificial intelligence (AI). This scope will explore the automation of alloy design processes to enable rapid identification of optimal compositions, microstructures, and processing pathways tailored for specific applications.