Results 101 to 110 of about 1,373 (161)

Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
ABSTRACT We propose a Newton‐based scheme, initialized by neural operator predictions, to accelerate the parametric solution of nonlinear problems in computational solid mechanics. First, a physics‐informed neural operator based on conditional neural fields or Fourier neural operators is trained to approximate the nonlinear parametric solution of the ...
Kianoosh Taghikhani   +5 more
wiley   +1 more source

Generative discovery of partial differential equations by learning from math handbooks. [PDF]

open access: yesNat Commun
Xu H   +7 more
europepmc   +1 more source

Deterministic, stochastic, and mean-field PDE models in neuroscience. [PDF]

open access: yesFront Comput Neurosci
Çetin C   +5 more
europepmc   +1 more source

Physics-informed neural network analysis of kerosene-based penta-hybrid nanofluid flow and heat transfer. [PDF]

open access: yesDiscov Nano
Makhdoum BM   +8 more
europepmc   +1 more source

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