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2 merged results for "Machine learning for computational science and engineering"

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  1. From PINNs to PIKANs: recent advances in physics-informed machine learning.

    Toscano JD, Oommen V, Varghese AJ, Zou Z · 2025 · Machine learning for computational science and engineering

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1007/s44379-025-00015-1

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  2. HKD-MGIN: a physics informed graph neural network using heat kernel diffusion for mapping adolescent functional brain connectivity.

    Patel B, Habeeb Z · 2025 · Machine learning for computational science and engineering

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1007/s44379-025-00038-8

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    • not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer