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Deep generative model super-resolves spatially correlated multiregional climate data
Additionally, we present the outcomes of another variant of the deep generative model-based downscaling approach in which the low-resolution precipitation field is substituted with the pressure field, referred to as $\psi$SRGAN (Precipitation Source Inaccessible SRGAN).
What Do Deep Neural Networks Find in Disordered Structures of Glasses?
Glass transitions are widely observed in various types of soft matter systems.
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