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David Danan

2 accepted papers

2025

ML4CFD Competition: Results and Retrospective Analysis

NeurIPS 2025poster

The integration of machine learning (ML) into the physical sciences is reshaping computational paradigms, offering the potential to accelerate demanding simulations such as computational fluid dynamics (CFD). Yet, persistent challenges in accuracy, generalization, and physical consistency hinder the…

Cited by 0SourceScholar
2022

LIPS - Learning Industrial Physical Simulation benchmark suite

NeurIPS 2022accept

Physical simulations are at the core of many critical industrial systems. However, today's physical simulators have some limitations such as computation time, dealing with missing or uncertain data, or even non-convergence for some feasible cases. Recently, the use of data-driven approaches to lea…

Cited by 13SourcePDFScholar