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The present review summarized a diversity of technologies in different domains, the one of data, the one related to the efficient solution of physics-based models, the one of learning models from data, and the ones of knowledge and data hybridation and data assimilation, major protagonists of an incipient new engineering, allying efficiency and accuracy, based on the employ of the so-called physics informed digital twins.

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Conclusion

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Francisco Chinesta,
  • Elías Cueto,
  • Victor Champaney,
  • Chady Ghnatios,
  • Amine Ammar,
  • Nicolas Hascoët,
  • David González,
  • Icíar Alfaro,
  • Daniele Di Lorenzo,
  • Angelo Pasquale,
  • Dominique Baillargeat

摘要

The present review summarized a diversity of technologies in different domains, the one of data, the one related to the efficient solution of physics-based models, the one of learning models from data, and the ones of knowledge and data hybridation and data assimilation, major protagonists of an incipient new engineering, allying efficiency and accuracy, based on the employ of the so-called physics informed digital twins.