Higher-order error estimates for physics-informed neural networks approximating the primitive equations

Research article (Partial Differential Equations and Applications, 2023) · cited 14× · AI/ML
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Higher-order error estimates for physics-informed neural networks approximating the primitive equations

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Higher-order error estimates for physics-informed neural networks approximating the primitive equations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Higher-order error estimates for physics-informed neural networks approximating the primitive equations. Retrieved May 24, 2026, from https://4ort.xyz/entity/higher-order-error-estimates-for-physics-informed-neural-networks-approximating-the-primitive-equations
MLA “Higher-order error estimates for physics-informed neural networks approximating the primitive equations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/higher-order-error-estimates-for-physics-informed-neural-networks-approximating-the-primitive-equations.
BibTeX @misc{4ortxyz_higher-order-error-estimates-for-physics-informed-neural-networks-approximating-the-primitive-equations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Higher-order error estimates for physics-informed neural networks approximating the primitive equations}}, year = {2026}, url = {https://4ort.xyz/entity/higher-order-error-estimates-for-physics-informed-neural-networks-approximating-the-primitive-equations}, note = {Accessed: 2026-05-24}}
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