Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 May;1(5):313-320.
doi: 10.1038/s43588-021-00072-5. Epub 2021 May 24.

Scaling digital twins from the artisanal to the industrial

Steven A Niederer  1 , Michael S Sacks  2 , Mark Girolami  3   4 , Karen Willcox  2
Affiliations
Review

Scaling digital twins from the artisanal to the industrial

Steven A Niederer et al. Nat Comput Sci. 2021 May.

Abstract

Mathematical modeling and simulation are moving from being powerful development and analysis tools towards having increased roles in operational monitoring, control and decision support, in which models of specific entities are continually updated in the form of a digital twin. However, current digital twins are largely the result of bespoke technical solutions that are difficult to scale. We discuss two exemplar applications that motivate challenges and opportunities for scaling digital twins, and that underscore potential barriers to wider adoption of this technology.

PubMed Disclaimer

References

    1. Digital Twin: Definition & Value. AIAA Position Paper (AIAA Digital Engineering Integration Committee, 2020).
    1. Bruynseels, K., Santoni de Sio, F. & van den Hoven, J. Digital twins in health care: ethical implications of an emerging engineering paradigm. Front. Genet. 9, 31 (2018). - DOI
    1. Corral-Acero, J. et al. The ‘digital twin’ to enable the vision of precision cardiology. Eur. Heart J. 41, 4556–4564 (2020).
    1. Tao, F., Zhang, H., Liu, A. & Nee, A. Y. Digital twin in industry: state-of-the-art. IEEE Trans. Industr. Inform. 15, 2405–2415 (2018). - DOI
    1. Wagg, D., Worden, K., Barthorpe, R. & Gardner, P. Digital twins: state-of-the-art and future directions for modeling and simulation in engineering dynamics applications. ASME J. Risk Uncertainty B 6, 030901 (2020).

LinkOut - more resources