Songia, F., de Chou, R. S., Talbot, H., & Vignon-Clementel, I. (2026). Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains.
Chicago Style (17th ed.) CitationSongia, Francesco, Raoul Sallé de Chou, Hugues Talbot, and Irene Vignon-Clementel. Multi-fidelity Graph-based Neural Networks Architectures to Learn Navier-Stokes Solutions on Non-parametrized 2D Domains. 2026.
MLA (9th ed.) CitationSongia, Francesco, et al. Multi-fidelity Graph-based Neural Networks Architectures to Learn Navier-Stokes Solutions on Non-parametrized 2D Domains. 2026.
Warning: These citations may not always be 100% accurate.