Ivan Zanardi
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Ivan Zanardi
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SciML Researcher
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New York, US
PhysicsX
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Research
I develop
mathematical and machine learning tools for scientific applications
. My work combines physics-informed models, reduced-order methods, and surrogate modeling to make complex simulations more efficient and practical.
Petrov-Galerkin Model Reduction
Physics-Informed Neural Operators (PINOs)
Data-Driven Finite Element Method as Foundation Model