Machine Learning for Engineering & Science Applications | IIT Madras - #101 Application | Part 2 | Description | Computational Fluid Dynamics

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture takes us into the fascinating world of Computational Fluid Dynamics (CFD), where we use computers to simulate the flow of fluids. We'll be introduced to the famous Navier-Stokes equations that govern fluid motion and learn about the challenges of solving them. The lecture will guide you through the concept of discretizing the flow field and approximating derivatives to make the problem computationally tractable. We'll then set up the challenge of building a deep learning model that can predict the flow field for complex shapes, given training data from simulations of simpler shapes. Get ready to explore the power of deep learning in tackling complex fluid dynamics problems! NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #ComputationalFluidDynamics #CFD #NavierStokesEquations #GoverningEquations #BoundaryConditions #FlowField #Pressure #Velocity #Input #Output #Architecture #LossFunction