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Learn to compute the Bromwich integral used in the inverse Laplace transform in less than an hour with Steve Brunton.
Learn to convert neural networks into analytic equations using inductive biases in less than an hour with Steve Brunton. Discover physical laws from data, cosmology techniques, and more.
Explore turbulence closure modeling using deep learning with Steve Brunton. Understand the revolution in modeling turbulent fluid dynamics in less than an hour.
Learn turbulence closure modeling, including RANS equations and LES, in under an hour with Steve Brunton. Ideal for those in high-performance and scientific computing.
Explore the fascinating world of turbulence in fluid dynamics with Steve Brunton. In less than an hour, learn about canonical and real-world turbulent fluids and their engineering applications.
Explore turbulent fluid dynamics in less than an hour with Steve Brunton. Understand the characteristics of turbulence, the role of Reynolds number, and real-world examples.
Explore deep reinforcement learning and its applications in games and robotics with Steve Brunton. Understand leading algorithms and developments in less than an hour.
Explore deep learning architecture for integrating multiscale differential equations with Steve Brunton. Less than 1-hour material, includes dynamical modelling, neural network methodology, and efficiency comparison.
Explore how machine learning models and controls fluid dynamics in this concise, less than 1-hour material by Steve Brunton. Ideal for those interested in fluid mechanics.
Learn how machine learning extracts patterns in fluid dynamics in under an hour with Steve Brunton. Topics include Autoencoder, Robust POD/PCA, and Super Resolution.
Learn data-driven aeroelastic modeling techniques for morphing wings with Urban Fasel in less than an hour, offered by Steve Brunton.
Learn how Machine Learning is applied in Fluid Mechanics with Steve Brunton. Understand the history, patterns, and applications in less than an hour.
Explore a new approach to model discovery and coordinate system development using SINDy autoencoders in this under 1-hour material by Steve Brunton.
Explore aspects of COVID-19 control problem, including model predictive control and robustness, in less than an hour with Steve Brunton.
Learn Koopman operator theory for dynamical systems in under an hour with Steve Brunton. Dive into emerging techniques, examples, and dynamic mode decomposition.
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