Data-driven identification of 2D Partial Differential Equations using extracted physical features

Research article (Computer Methods in Applied Mechanics and Engineering, 2021) · cited 19× · AI/ML
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Data-driven identification of 2D Partial Differential Equations using extracted physical features

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Data-driven identification of 2D Partial Differential Equations using extracted physical features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data-driven identification of 2D Partial Differential Equations using extracted physical features. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features
MLA “Data-driven identification of 2D Partial Differential Equations using extracted physical features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features.
BibTeX @misc{4ortxyz_data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven identification of 2D Partial Differential Equations using extracted physical features}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data-driven identification of 2D Partial Differential Equations using extracted physical features — https://4ort.xyz/entity/data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features (retrieved 2026-05-24)

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