ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.14704
  4. Cited By
Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations

14 May 2025
Giovanni Catalani
Jean Fesquet
Xavier Bertrand
Frédéric Tost
Michaël Bauerheim
Joseph Morlier
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations"

1 / 1 papers shown
Title
GLOBE: Accurate and Generalizable PDE Surrogates using Domain-Inspired Architectures and Equivariances
GLOBE: Accurate and Generalizable PDE Surrogates using Domain-Inspired Architectures and Equivariances
Peter Sharpe
AI4CE
152
0
0
19 Nov 2025
1