HIGHLIGHTS
- who: Paulo Alexandre Costa Rocha and collaborators from the School of Engineering, University of Guelph, Stone Rd E, Guelph, ON N G , Canada have published the Article: Deep Neural Network Modeling for CFD Simulations: Benchmarking the Fourier Neural Operator on the Lid-Driven Cavity Case, in the Journal: (JOURNAL)
- what: This approach has been shown to give physical coherence to the model results. The authors applied both approaches, where the soft constraints were imposed by the boundary conditions (BCs), as well as the mass conservation law to assess its contribution to the model`s predictions . . .
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