An accurate and efficient deep learning model for spatio-temporal prediction of interfacial flows
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DOI: 10.1063/5.0202781
Abstract: Aiming at fast and accurate spatiotemporal prediction of interfacial flow fields, a novel deep learning model combining Convolutional AutoEncoder (CAE) and long short-term memory with spatial and temporal attention (LSTM-STA) is proposed and named as… read more here.
Keywords: cae; model; flow fields; lstm sta ... See more keywords