Journal Article

TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins

Engineering Computations (Swansea, Wales) (2025) 42(7) 2406-2426
DOI: 10.1108/EC-11-2023-0855
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Kannapinn, M., Schäfer, M., & Weeger, O. (2025). TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins. Engineering Computations (Swansea, Wales), 42(7), 2406–2426. https://doi.org/10.1108/EC-11-2023-0855

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