Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modeling. - Michael G. Kapteyn; Karen E. Willcox (DDDAS, 2020)

A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins. - Stefanie J. Salinger; Michael G. Kapteyn; Cory Kays; Jacob V. R. Pretorius; Karen E. Willcox (DDDAS, 2020)

From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning. - Michael G. Kapteyn; Karen E. Willcox (CoRR, 2020)

A probabilistic graphical model foundation for enabling predictive digital twins at scale. - Michael G. Kapteyn; Jacob V. R. Pretorius; Karen E. Willcox (Nat. Comput. Sci., 2021)

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. - Anirban Chaudhuri; Graham Pash; David A. Hormuth; Guillermo Lorenzo; Michael G. Kapteyn; Chengyue Wu; Ernesto A. B. F. Lima; Thomas E. Yankeelov; Karen Willcox (Frontiers Artif. Intell., 2023)

TumorTwin: A python framework for patient-specific digital twins in oncology. - Michael G. Kapteyn; Anirban Chaudhuri; Ernesto A. B. F. Lima; Graham Pash; Rafael Bravo; Karen Willcox; Thomas E. Yankeelov; David A. Hormuth II (CoRR, 2025)