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Deep orthogonal decomposition: a continuously adaptive neural network approach to model order reduction of parametrized partial differential equations

Crossref DOI link: https://doi.org/10.1007/s10444-026-10295-7

Published Online: 2026-04-17

Published Print: 2026-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Franco, Nicola Rares https://orcid.org/0000-0002-4980-5606
Manzoni, Andrea

Zunino, Paolo

Hesthaven, Jan S.
Funding

Funding for this research was provided by:

Ministero dell’Università e della Ricerca (FIS00003154)

Ministero dell’Università e della Ricerca (FIS00003154)

Agenzia Italiana del Farmaco, Ministero della Salute (Cal.Hub.Ria (PianoOperativoSalute, traiettoria4))

Agenzia Italiana del Farmaco, Ministero della Salute (Cal.Hub.Ria (PianoOperativoSalute, traiettoria4))

Agenzia Italiana del Farmaco, Ministero della Salute (PRIN 2022 No. 2022WKWZA8)

Agenzia Italiana del Farmaco, Ministero della Salute (PRIN 2020 No. 202222PACR)

Ministero dell’Università e della Ricerca (FAIR project, M4C2, Investment 1.3, Line on Artificial Intelligence)
License Information

Text and Data Mining valid from 2026-04-17

Version of Record valid from 2026-04-17
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Article History

Received: 11 February 2025

Accepted: 13 February 2026

First Online: 17 April 2026

Declarations

:

: The authors declare no competing interests.

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