The interTwin Digital Twin Engine Core modules

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

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-07
DOI
https://doi.org/10.5281/zenodo.15358101
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The interTwin Digital Twin Engine Core modules

Zenodo (CERN European Organization for Nuclear Research)
Digital Transformation in Industry
article

The interTwin Digital Twin Engine Core modules

article en

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

Zenodo (CERN European Organization for Nuclear Research)
United States Department of Transportation (US), Eurac Research (IT), Forschungszentrum Jülich (DE), EGI (NL), Instituto de Física de Cantabria (ES), Instituto de Química Orgánica General (ES), European Organization for Nuclear Research (CH)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.