Division/Committee: [ENFL: Division of Energy and Fuels] [PRES: Presidential Event]

This symposium will gather leading experts to explore technological and methodological advancements reshaping the future of energy storage, encapsulated in our AAA framework: AI, Automation, and Advanced Modeling. The event will delve into the transformative role of Artificial Intelligence in energy storage methods and material exploration, showcasing state-of-the-art methodologies that optimize performance, safety, and longevity. Automation will be highlighted as a driving force in the discovery and optimization of battery materials, with discussions on automated synthesis and testing processes that expedite novel material identification and address scaling challenges for large-scale systems. Advanced Modeling will be explored through presentations on cutting-edge techniques from atomic to system scales, including physics-informed machine learning approaches that model electrochemical processes, degradation mechanisms, and thermal behaviors across diverse battery chemistries like lithium-ion, solid-state, and flow batteries. Additionally, the symposium will spotlight the potential of digital twin technology in battery research, offering insights into its future applications. This event provides a unique platform for sharing insights and shaping the innovations in energy storage through the interconnected advancements of AAA.

Shijing Sun

Appearances