Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems by Pratyush Bhatt, Yash Kumar, Azzeddine Soulaïmani

Subjects: “…Non-intrusive reduced-order modeling…”
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Non-Intrusive Reduced-Order Modeling Based on Parametrized Proper Orthogonal Decomposition by Teng Li, Tianyu Pan, Xiangxin Zhou, Kun Zhang, Jianyao Yao

Subjects: “…non-intrusive reduced-order modeling…”
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Reduced Order Modeling Using Advection-Aware Autoencoders by Sourav Dutta, Peter Rivera-Casillas, Brent Styles, Matthew W. Farthing

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Extending the Capabilities of Data-Driven Reduced-Order Models to Make Predictions for Unseen Scenarios: Applied to Flow Around Buildings by Claire E. Heaney, Claire E. Heaney, Xiangqi Liu, Hanna Go, Zef Wolffs, Pablo Salinas, Ionel M. Navon, Christopher C. Pain, Christopher C. Pain, Christopher C. Pain

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