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Tianjin University, Centre for Computational Science, University College London, London, UK
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Discovering causal relationships that remain stable across different online market environments allows for more effective and generalizable governance policies.
Uni-Flow achieves faster-than-real-time modeling of complex multiscale flows by decoupling temporal evolution and spatial refinement, opening doors for deployable surrogates in scientific machine learning.
