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Showing 1 to 2 of 2 for “"markovian closure"”.
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TENSOR NETWORKS FOR OPEN QUANTUM SYSTEMS
… we develop a fermionic generalisation of the Markovian closure method originally proposed for bosonic environments. In particular, we address one of the key bottlenecks in simulating open systems coupled to continuous fermionic baths, namely, the linear growth in computational cost with …
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Scientific Machine Learning for Dynamical Systems: Theory and Applications to Fluid Flow and Ocean Ecosystem Modeling
… deep learning framework to learn time-delayed closure parameterizations for missing dynamics. We find that our neural closure models increase the long-term predictive capabilities of existing models, and require smaller networks when using non-Markovian over Markovian closures. They efficiently …