A physics-encoded Fourier neural operator (PeFNO) uses stress potentials to enforce divergence-free stress fields by architecture design, yielding better equilibrium satisfaction than physics-informed or physics-guided FNOs for polycrystalline materials under uniaxial tension.
An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials , volume =
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An approach to encode divergence-free stress fields in neural approximations based on stress potentials
A physics-encoded Fourier neural operator (PeFNO) uses stress potentials to enforce divergence-free stress fields by architecture design, yielding better equilibrium satisfaction than physics-informed or physics-guided FNOs for polycrystalline materials under uniaxial tension.