Model

XPINN

An extension of PINN that improves the training efficiency and scalability of physics-informed neural networks through domain decomposition and parallelization.

Timeline (last 90 days)

Oct 31

Subsequent works such as XPINN and cPINN improved PINN with domain decomposition and parallelization, but theoretical guarantees of convergence remain scarce.

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All Facts (1)

Unverified

Subsequent works such as XPINN and cPINN improved PINN with domain decomposition and parallelization, but theoretical guarantees of convergence remain scarce.

50%

Source Articles

Deep Learning for Solving PDEs: Career Prospects and Learning DirectionsOct 31