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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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The interTwin Digital Twin Engine Core modules

Authors: Manzi, Andrea; Campos, Isabel; Jacob, Alexander; Parcero Iglesias, Estíbaliz; Caballer, Miguel; Sarma, Rakesh; Palomo, Iván; +1 Authors

The interTwin Digital Twin Engine Core modules

Abstract

Within interTwin, we are developing an interdisciplinary Digital Twin Engine (DTE) – an open-source platform packed with versatile software components for modeling and simulation. This time, we're diving deep into the DTE Core modules. Here's what you can expect:🔧 Development of an Open Source Digital Twin Engine (DTE): We'll walk you through the creation of our interdisciplinary DTE, explaining how it provides the building blocks for your Digital Twin projects.🎯 Focus on Core Modules: Get an intro to all the components and a deep dive into:- Event-driven Serverless and Data Processing- Data Fusion- Digital Twins QualityWe'll also show you how these components integrate with the DTE infrastructure and how our user communities are already putting them to use. Agenda💠 Intro to project/DTE Core subsystem : Isabel Campos (CSIC)💠itwinai: AI on Cloud and HPC for Science: Matteo Bunino (CERN) and Rakesh Sarma (FZJ) 💠IM, OSCAR, and DCNiOS: Event Driven serverless computing and data processing flows: Estíbaliz Parcero (UPV) and Miguel Caballer (UPV) 💠Data fusion with OpenEO: Alexander Jacob (EURAC) 💠SQAasS : Platform for quality assessment and awarding of multiple digital objects: Ivan Palomo (CSIC) 💠Q& A

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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