Scaling digital twins from the artisanal to the industrial

Steven A. Niederer*, Michael S. Sacks, Mark Girolami, Karen Willcox

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

82 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)313-320
Number of pages8
JournalNature Computational Science
Volume1
Issue number5
DOIs
Publication statusPublished - May 2021

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