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researcher

Michael G. Kapteyn

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE2

identity via Semantic Scholar / OpenAlex

most citedFrom Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning

13 citations · 16 across the 2 of their papers we have counts for

collaborators
Showing cs.CEShow all

2 papers · 1 filter

cs.CE2020★ 3 cited

A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale

Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox

A unifying mathematical formulation is needed to move from one-off digital twins built through custom implementations to robust digital twin implementations at scale. This work pro…

cs.CE2020★ 13 cited

From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning

Michael G. Kapteyn, Karen E. Willcox

This work develops a methodology for creating a data-driven digital twin from a library of physics-based models representing various asset states. The digital twin is updated using…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.