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10 merged results for "Numerical methods for differential equations"

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  1. AI System Usability and Learning Engagement in Nursing Simulation: Cross-Sectional Statistical Indirect Associations Through Extraneous Cognitive Load and Flow Experience.

    Liu M, Zhang P, Wu Y, Pan L · 2026 · Nursing open

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1002/nop2.70855

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  2. A Fokker-Planck framework for control of epidemics.

    Parkinson C, Roy S · 2026 · Journal of mathematical biology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1007/s00285-026-02462-7

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  3. Learning-based local RBF neural network with adaptively supported domain for solving partial differential equations.

    Fan Z, Lei M, Niu R, Wang L · 2026 · Neural networks : the official journal of the International Neural Network Society

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.neunet.2026.109643

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  4. Physics-informed neural networks with Riccati-type pseudopotential constraints for solving nonlinear evolution equations.

    Wan J, Wang H, Wang Y · 2026 · Chaos (Woodbury, N.Y.)

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1063/5.0348469

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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
  5. Long-time integration of partial differential equations based on a sliding-interval physics-informed neural network.

    Huang W, Shao J, Yang M, Ruan Y · 2026 · Physical review. E

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1103/9xdz-bd5f

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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
  6. Performance evaluation of variational quantum eigensolver and quantum dynamics algorithms on the advection-diffusion equation.

    Özgüler AB · 2026 · Physical review. E

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1103/mr76-1wtz

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  7. Intelligent neural network-based framework for Maxwell nanofluid flow with Soret-Dufour coupling and nonlinear thermal radiation.

    Ishaq M, Ashraf MB, Fantaye AK, Zayani HM · 2026 · Discover nano

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1186/s11671-026-04888-w

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  8. Comparative machine learning approach on Maxwell tetra hybrid nanofluid with porous and bioconvection over 3d rotating stretching sheet.

    Soniya P, De P · 2026 · Discover nano

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1186/s11671-026-04918-7

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  9. Intelligent computing and sensitivity analysis of unsteady darcy-forchheimer nanofluid flow over an inclined permeable disk subject to thompson-troian slip conditions.

    Aldhafeeri AA, Raizah Z, Yasmin H, Algehyne EA · 2026 · Discover nano

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1186/s11671-026-04941-8

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  10. A fractional differential equation model for student learning dynamics using anonymized learning analytics data.

    Wang K, Zou T · 2026 · Frontiers in psychology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3389/fpsyg.2026.1901905

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