Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning 事件

Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning arXiv:2605.30375v1 Announce Type: cross Abstract: High-fidelity computational fluid dynamics is essential for aerospace design, but engineering-scale simulations of practical three-dimensional aircraft remain computationally expensive. Learning-based flow-field initialization can improve efficiency by reducing the numerical distance between the initial and converged solutions, yet existin