Michael Kapteyn

[SIAM @TheSIAMNews]

The September issue of SIAM News is now live! In this edition, @michaelkapteyn and Karen E. Willcox describe how moving from the one-off #DigitalTwin to accessible digital twin implementations at scale requires rigorous #math foundations. Read more: https://t.co/aQRrEQVBZt

[DOE Office of Science @doescience]

Imagine a perfect digital copy of yourself. While humans don't have digital twins, they're used for machines in engineering & medicine. @MIT researchers developed a new way to develop many twins at once, expanding their use: https://t.co/zlnhAWwJHD

[Nature Computational Science @NatComputSci]

Michael Kapteyn and colleagues propose a formal mathematical foundation based on probabilistic graphical models for digital twins, supporting principled data assimilation, optimal control, and end-to-end uncertainty quantification. Check it out: https://t.co/8lzY1v1gde

[Massachusetts Institute of Technology (MIT) @MIT]

Creating “digital twins” at scale: Model could help predictive virtual models become standard practice in engineering. https://t.co/fWRH25fLJW