FSML Lecture Series – Panos Stinis: When big neural networks are not enough: physics, multi-fidelity and kernels
2004 Lay Auto LabWhen big neural networks are not enough: physics, multi-fidelity and kernels
When big neural networks are not enough: physics, multi-fidelity and kernels
Parthenon: a flexible framework for rapid development of performance portable multiphysics codes
Formally Verified Numerical Methods