Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. - Giovanni Catalani; Siddhant Agarwal; Xavier Bertrand; Frederic Tost; Michael Bauerheim; Joseph Morlier (CoRR, 2024)

Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations. - Giovanni Catalani; Michael Bauerheim; Frederic Tost; Xavier Bertrand; Joseph Morlier (CoRR, 2025)

Physics-Learning AI Datamodel (PLAID) datasets: a collection of physics simulations for machine learning. - Fabien Casenave; Xavier Roynard; Brian Staber; William Piat; Michele Alessandro Bucci; Nissrine Akkari; Abbas Kabalan; Xuan Minh Vuong Nguyen; Luca Saverio; Raphaël Carpintero Perez; Anthony Kalaydjian; Samy Fouché; et al. (CoRR, 2025)

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations. - Giovanni Catalani; Jean Fesquet; Xavier Bertrand; Frederic Tost; Michael Bauerheim; Joseph Morlier (CoRR, 2025)

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis. - Mouadh Yagoubi; David Danan; Milad Leyli-Abadi; Jocelyn Ahmed Mazari; Jean-Patrick Brunet; Abbas Kabalan; Fabien Casenave; Yuxin Ma; Giovanni Catalani; Jean Fesquet; Jacob Helwig; Xuan Zhang; et al. (CoRR, 2025)