Data-driven models and digital twins for sustainable combustion technologies

Alessandro Parente, Nedunchezhian Swaminathan

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DOI: 10.1016/j.isci.2024.109349
Published: 2024-04
Container: iScience
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.isci.2024.109349,
  title = {Data-driven models and digital twins for sustainable combustion technologies},
  author = {Alessandro Parente and Nedunchezhian Swaminathan},
  year = {2024},
  journal = {iScience},
  doi = {10.1016/j.isci.2024.109349},
  url = {https://doi.org/10.1016/j.isci.2024.109349}
}

RIS

TY  - JOUR
TI  - Data-driven models and digital twins for sustainable combustion technologies
AU  - Alessandro Parente
AU  - Nedunchezhian Swaminathan
PY  - 2024
JO  - iScience
DO  - 10.1016/j.isci.2024.109349
UR  - https://doi.org/10.1016/j.isci.2024.109349
ER  -

APA

Parente, A., & Swaminathan, N. (2024). Data-driven models and digital twins for sustainable combustion technologies. iScience. https://doi.org/10.1016/j.isci.2024.109349

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crossref · retrieved 2026-09-25T15:22:25.682Z