This large-scale competition, launched by SystemX in collaboration with Ansys, NVIDIA, RTE, Exaion, Inria, Sorbonne Université, TAILOR, and Criteo, hosted by Codalab and powered by the LIPS platform, has been a resounding success with over 125 competing teams and more than 1,200 submissions!
This contest invited the competing teams to address the challenge of improving baseline solutions of the Airfoils design use case by building new ML-based surrogate models, improving the trade-off accuracy/computational time while satisfying basic physical constraints.
After 4 months of intense competition, IRT SystemX announced on March 26th the five winning teams:
- 1st prize: Fabien Casenave, Brian Staber, Xavier Roynard, Abbas Kabalan (Safran Tech, Département des Sciences et Technologies Numériques) – “MMGP: A Mesh Morphing Gaussian Process based machine learning method for regression of physical problems under nonparametrized geometrical variability”
- 2d prize: Pierre Serrano, Nawar Ammari (Framatome (DTIM)) – “Piecewise metamodel : a combined GNN and FC approach”
- 3rd prize: Xavier Bertrand, Frédéric TOST, Giovanni Catalani (Airbus) – “Multiscale Implicit Neural Representations”
- 4th prize: Anthony Kalaydjian (ENSTA Paris – EPFL), Anton Balykov (EPFL), Adrien CHAN-HON-TONG (ONERA) – “Subsampled Bi-transformer”
- 5th prize: Henri Durliat, Hamza AHFIDI (Framatome DTIPL) – “NeurEco based MLP”
Congratulations to all! This competition is the first step of a series of other challenges to come… Stay tuned!
