Session

DescriptionThe ScaleAI4CFD minisymposium explores the latest advancements in machine learning (ML) models for computational fluid dynamics (CFD), focusing on scaling these models for industrial applications. This event bridges the gap between academic research and industry needs, addressing challenges in energy, automotive, aerospace, and healthcare sectors. The symposium's emphasis on CFD is strategic, building on the success of the AI4DifferentialEquations workshop at ICLR2024. While ML applications in weather forecasting and climate modeling have progressed, other fluid dynamics areas lag behind. The event features experts from industry, academia, and startups to discuss specific challenges and opportunities in applying AI surrogates to real-world research and design. The focus on CFD also addresses crucial environmental concerns. Aerospace and automotive industries significantly contribute to climate change, and CFD offers a way to reduce their environmental impact by minimizing physical prototyping and testing. AI/ML surrogate models have the potential to further reduce costs, time, and energy consumption in simulations. Attendees will gain insights into the current state of the art and the challenges and opportunities in applying cutting-edge AI methods to CFD problems.