pvlachas/LearningEffectiveDynamics
Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.
This framework helps scientists and engineers simulate complex systems more efficiently by combining detailed macro-scale models with fast, neural network-based predictions for the smaller, faster dynamics. It takes high-resolution simulation data as input and produces accelerated, accurate predictions of system behavior. Researchers in fields like fluid dynamics, climate modeling, or biological systems who deal with multiscale phenomena would find this useful.
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Use this if you are performing multiscale simulations and need to significantly speed up your computations without sacrificing accuracy by learning and predicting the fine-scale dynamics.
Not ideal if your system's dynamics are not multiscale or if you require direct interpretability of every fine-scale interaction rather than an effective representation.
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Python
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Last pushed
Apr 19, 2023
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