Data|driven physics|based digital twins via a library of component ...

Data-driven physics-based digital twins via a library of component ...

Data-driven physics-based digital twins via a library of component-based reduced-order models. M.G. Kapteyn. Massachusetts Institute of Technology, Cambridge ...

Data‐driven physics‐based digital twins via a library of component ...

This work proposes an approach that combines a library of component-based reduced-order models with Bayesian state estimation in order to ...

Data-driven physics-based digital twins via a library of ... - NASA ADS

SummaryThis work proposes an approach that combines a library of component-based reduced-order models with Bayesian state estimation in order to create ...

Data‐driven physics‐based digital twins via a library of component ...

Request PDF | Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models | This work proposes an approach that combines a ...

Data‐driven physics‐based digital twins via a library of component ...

Summary This work proposes an approach that combines a library of component‐based reduced‐order models with Bayesian state estimation in order to create ...

[PDF] Data‐driven physics‐based digital twins via a library of ...

This work proposes an approach that combines a library of component‐based reduced‐order models with Bayesian state estimation in order to ...

Scientific machine learning and data-driven model reduction for a ...

Kapteyn, M., Knezevic, D, Huynh, DBP, Tran, M, and Willcox, K., Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models.

Toward predictive digital twins via component-based reduced-order ...

This work develops a methodology for creating and updating data-driven physics-based digital twins, and demonstrates the approach.

Data-driven physics-informed neural networks: A digital twin ...

In addition, once a PINN is trained, the prediction of the flow field based on CFD simulations can be replaced by the real-time inference using the trained ...

Data-driven digital twins: Where statistics meets physics - Medium

Combining physics with statistics, these models have a simplified physical equation structure. Using stochastic differential equations ( ...

Toward predictive digital twins via component-based reduced-order ...

This section describes how interpretable machine learning is used in combination with a library of physics-based models to create predictive data-driven digital ...

From Physics-based Models to Predictive Digital Twins via ...

Physics-based models meet data-driven learning. Page 9. Physics-based model library. Page 10. Given: a library of models for various UAV damage states. • Covers ...

From Physics-based models to Predictive Digital Twins via ... - arXiv

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

Data-driven models and digital twins for sustainable combustion ...

Data-driven physics-based digital twins via a library of component-based reduced-order models. Int. J. Numer. Methods Eng. 2022;123:2986 ...

Where Dynamic Data-Driven Learning Meets Physics-Based Modeling

... digital twins via component-based reduced-order models and interpretable machine learning. ... Using ACM Digital Library · All Holdings within the ACM ...

The Alliance between Physics-Based and Data-Driven Models

This paper aims at introducing the main building blocks of a digital twin, embracing physics-based and data-driven functionalities, both enriching mutually.

"Predictive Digital Twins: From physics-based modeling ... - YouTube

... via observed data and control inputs. The abstraction is realized computationally as a dynamic decision network. Predictive capabilities are ...

From Physics-Based Models to Predictive Digital Twins via ...

Abstract. This work develops a methodology for creating a data-driven digital twin from a library of physics-based models representing various asset states.

Digital Twin Framework for Aircraft Lifecycle Management Based on ...

This paper presents a comprehensive framework for implementing digital twins in aircraft lifecycle management, with a focus on using data-driven models to ...

Ansys Twin Builder | Create and Deploy Digital Twin Models

Ansys Twin Builder is an open solution that allows engineers to create simulation-based digital twins with Hybrid Analytics.