Hybrid Digital Twins: A Primer on Combining Physics-Based and Data Analytics Approaches
Matt Adams, Xiao Li, Lucas Boucinha, Sameer Kher, Prith Banerjee, José Luis González
Abstract
Two popular approaches to building digital twins are pure data-based and physics/simulation-based methods. In this article, we present a framework for hybrid digital twins that combines the strengths of the two approaches, sharing results and demonstrating applicability to a flow network.
Topics & Concepts
Computer scienceData scienceAnalyticsSoftware engineeringAdvancements in Semiconductor Devices and Circuit DesignModel Reduction and Neural NetworksSimulation Techniques and Applications