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News/DAS-PINNs for high-dimensional partial differential equations: extending deep adaptive sampling to spacetime domains
arxiv
PublishedJune 5, 2026 at 4:00 AM

DAS-PINNs for high-dimensional partial differential equations: extending deep adaptive sampling to spacetime domains

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arXiv:2606.06314v1 Announce Type: cross Abstract: Time-dependent high-dimensional partial differential equations (PDEs) with spatially localised and dynamically evolving solutions pose a fundamental challenge for physics-informed neural networks (PINNs), as uniform collocation sampling becomes incre

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