145 citations · 718 across the 19 of their papers we have counts for
4 papers · 1 filter
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
Diana Alina Bistrian, Omer San, Ionel Michael Navon
A digital twin is a surrogate model that has the main feature to mirror the original process behavior. Associating the dynamical process with a digital twin model of reduced comple…
CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, Efficient Reliability Analysis
S. Ashwin Renganathan, Vishwas Rao, Ionel M. Navon
Estimating probability of failure in aerospace systems is a critical requirement for flight certification and qualification. Failure probability estimation involves resolving tails…
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes
Claire E. Heaney, Zef Wolffs, Jón Atli Tómasson +7
The modelling of multiphase flow in a pipe presents a significant challenge for high-resolution computational fluid dynamics (CFD) models due to the high aspect ratio (length over…
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations
Shady E. Ahmed, Omer San, Diana A. Bistrian +1
Dynamic mode decomposition (DMD) is an emerging methodology that has recently attracted computational scientists working on nonintrusive reduced order modeling. One of the major st…