Predictive Digital Twins From Physics Based Modeling To Scientific Machine Learning Prof Willcox

In recent times, predictive digital twins from physics based modeling to scientific machine learning prof willcox has become increasingly relevant in various contexts. "Predictive Digital Twins: From physics-based modeling to scientific .... To make digital twins a reality, many elements of the interdisciplinary field of computational science, including physics-based modeling and simulation, inverse problems, uncertainty... From Physics-based models to Predictive Digital Twin via Interpretable .... This work develops an approach for creating predictive digital twins by leveraging interpretable machine learning methods to couple sensor data with physics-based models of the system. Scientific machine learning and data-driven model reduction for a ....

This work develops a methodology for creating and updating data-driven physics-based digital twins, and demonstrates the approach through the development of a structural digital twin for a 12ft wingspan unmanned aerial vehicle. Equally important, predictive Digital Twins: Where Dynamic Data-Driven Learning Meets .... This keynote talk presents an approach to create, update, and deploy data-driven physics-based digital twins. Building on this, we demonstrate the approach through the development of a structural digital twin for a custom-built unmanned aerial vehicle.

In relation to this, digital twin, physics-based model, and machine learning applied to .... In this framework, and to leverage its capacity, we explore the integration of physics-based models with machine learning. A digital twin is constructed for a damaged structure, where a discrete physics-based computational model is employed to investigate several damage scenarios. Toward predictive digital twins via component-based reduced-order ....

Digital Twins: From Physics-Based Modeling to Scientific Machine Learning. Predictive capabilities are enabled by physics-based reduced-order models. Moreover, we demonstrate how the approach is instantiated to create, update and deploy a structural digital twin of an unmanned aerial vehicle.

[2004.11356] From Physics-Based Models to Predictive Digital Twins via .... The digital twin is updated using interpretable machine learning. Enabling Predictive Digital Twins at Scale.

“A Digital Twin is a set of virtual information constructs that mimics the structure, context, and behavior of an individual/unique physical asset, is dynamically updated with data from its physical twin throughout its lifecycle, and informs decisions that realize value” Building on this, physics-Based and Data-Driven Modeling for Digital Twins. This book presents a compelling and up-to-date exploration of modeling techniques for digital twins, a transformative concept revolutionizing how physical assets are designed, operated, optimized, and managed throughout their lifecycle.