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Generalized Forcing Method: Generation of Diverse Data for Training Linear Transport PDE Closure Models
Data-driven closure modeling for transport partial differential equations requires training data that are accurate, affordable, diverse, and directly tailored to the target closure fields. We develop the Generalized Forcing Method (GFM), a data-generation framework for training linear transport clos
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