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A Neural Implicit Flow Super-Resolution Approach for Reacting Flows
We present a novel framework for reconstructing fine-resolution scalar fields from coarse-resolution data in 2D unsteady flames using an extension of neural implicit flow (NIF). The framework leverages the novel architecture of NIF to develop an efficient representation of scalar fields in spatio-te
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