California Institute of Technology
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- Caltech team reports AI-found Euler singularity candidate
A Caltech team led by Anima Anandkumar reports using physics-informed neural networks to search for a self-similar singularity candidate in the unforced 3D Euler equations on R3. The reported optimization converged on a scaling exponent near 0.5, but the result is a numerical candidate rather than a rigorous proof; the Clay Mathematics Institute still lists the related problem as unresolved.
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