tum-pbs/pbdl-book
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
This book helps computational scientists and researchers integrate deep learning with physical simulations to solve complex engineering and scientific problems. It provides hands-on guidance on using neural networks to model phenomena like fluid flow, incorporating physical laws and numerical methods. The output is more efficient, specialized solvers and probabilistic models that can outperform traditional simulators.
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Use this if you are a computational scientist or researcher looking to apply deep learning to physical simulations and create more accurate and efficient predictive models or solvers.
Not ideal if you need a basic introduction to either deep learning or numerical simulations; this resource assumes foundational knowledge in both areas.
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