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Explore the groundbreaking potential of AI-based simulation methods in scientific research through this 35-minute conference talk. Delve into the limitations of language models in scientific domains and discover how Neural Operators can revolutionize the field by learning mappings between function spaces. Understand how these AI-powered simulations offer a 4-5 orders of magnitude faster and more cost-effective alternative to traditional methods. Examine successful applications in weather forecasting, fluid dynamics, carbon capture and storage modeling, and optimized design of medical devices. Gain insights into how Neural Operators can significantly accelerate scientific understanding and overcome the bottleneck of physical experimentation in various complex processes.
