Interesting readings¶

This section consist of a set of suggested readings for this book by environment or topic of interest.

Digital Twins¶

Conceptual

Steven A. Niederer, Michael S. Sacks, Mark Girolami, and Karen Willcox. Scaling digital twins from the artisanal to the industrial. Nature Computational Science, 2021. doi:10.1038/s43588-021-00072-5.

Experimental

Michael G. Kapteyn, Jacob V. R. Pretorius, and Karen E. Willcox. A probabilistic graphical model foundation for enabling predictive digital twins at scale. Nature Computational Science, 1(5):337–347, May 2021. doi:10.1038/s43588-021-00069-0.
Rebecca Ward, Ruchi Choudhary, Alastair Gregory, Melanie Jans-Singh, and Mark Girolami. Continuous calibration of a digital twin: comparison of particle filter and bayesian calibration approaches. 2021. arXiv:2011.09810.