Reduced-order Surrogates

Reduced-Order Surrogates is a computational modeling construct that belongs to the class of reduced-order models, distinguished by its purpose of approximating high-fidelity or full-order simulations with significantly lower computational cost while preserving essential system dynamics and enabling rapid evaluation in multi-query or real-time scenarios.

184

Publications

9.3K

Citations

522

Authors

243

Institutions

Publications per year

2017–2026

106

Authors

522

  1. AM
    Andrea Manzoni

    Politecnico di Milano, Italy

    9 publications · 402 citations

    9

    h-index

  2. JS
    Jan S. Hesthaven

    Brown University, United States

    6 publications · 606 citations

    6

    h-index

  3. SF
    Stefania Fresca

    Politecnico di Milano, Italy

    6 publications · 157 citations

    6

    h-index

  4. GR
    Gianluigi Rozza

    Scuola Internazionale Superiore di Studi Avanzati, Italy

    6 publications · 248 citations

    6

    h-index

  5. DA
    David Amsallem

    Stanford University, United States

    5 publications · 790 citations

    5

    h-index

1–5 of 522

Venues

  1. 16

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  2. Journal of Computational Physics

    9 publications · 620 citations

    9

    h-index

  3. 7

    h-index

  4. 6

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 5 publications · 214 citations

    5

    h-index

1–5