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AI-based methodologies to extract application sector specific information from research data at the exabyte-scale level in a real-time manner and increase the efficiency and accuracy of simulation and modelling outputs.

Key Exploitable Result

Toolkit for AI workflow and method lifecycle management

Read more about the interTwin DTE

The interTwin  Digital Twin Engine (DTE)  is an open-source integrated platform underpinned by open standards, APIs, and protocols. It facilitates the development and implementation  of specific Digital Twins.  The DTE supports the setup, configuration and exploitation of Digital Twins. 
The interTwin DTE consists of different layers:
<ul>
<li style="font-weight: 400;" aria-level="1">The <a href="https://www.intertwin.eu/dte-infrastructure-modules/">DTE Infrastructure Modules</a> provide specific capabilities for implementing Digital Twins, such as federated data and computing resources needed to run modelling and simulation tasks on the computing infrastructure</li>
<li style="font-weight: 400;" aria-level="1">The<a href="https://www.intertwin.eu/core-dte-modules/"> DTE Core Modules</a> offer cross-domain capabilities, simplifying the creation and operation of data-intensive and compute-intensive DT applications</li>
<li style="font-weight: 400;" aria-level="1">The DTE Thematic Modules (currently: <a href="https://www.intertwin.eu/thematic-modules-environment/">Environment</a> and <a href="https://www.intertwin.eu/thematic-modules-physics/">Physics</a>) are add-ons providing capabilities tailored to the needs of specific application groups. They implement core functionalities for a DT but domain specific. They can evolve into core modules following successful adoption by multiple resource communities across different domains.</li>
</ul>

Contact (email)

<ul>
<li style="font-weight: 400;" aria-level="1">DT Developers interact with interTwin DTE, seen as PaaS (Platform as a Service), developing DT applications and occasionally thematic modules tailored to the needs of specific user communities</li>
<li style="font-weight: 400;" aria-level="1">DT Infrastructure Providers provide computational resources and storage, to build and run the DTs and eventual connectivity with the physical twin existing in the real world</li>
<li style="font-weight: 400;" aria-level="1">DT Users access the DTE as a SaaS (Software as a Service) via the DT Applications developed by the DT developers. An end user can choose an “out of the box” DT application and connect it to its use case (physical twin) or configure the needed parameters for their experiments</li>
</ul>

Target Groups

<ul>
<li>Platform-as-a-Service provisioning by the EGI Federation (open access)</li>
<li>Onboarded in the <a href="https://eosc.eu/">EOSC</a> and <a href="https://www.ai4europe.eu/about-ai4eu">AI4EU</a> ecosystems and integrated with EU Data Spaces</li>
<li>Software available for download and maintained by the Open Source Community via <a href="https://github.com/interTwin-eu">GitHub</a> and other repositories</li>
</ul>

Valorisation / Exploitation Path

<a href="https://cdn.intertwin.eu/intertwin-digital-twin-engine/">Components</a> offered under Free and Open Source Licenses

Access

The DTE is owned by <a href="https://www.egi.eu/">EGI Foundation</a>, the different components &amp; modules are owned by each of the partners having generated them.

Ownership

Every component owner has their own policies.

Maintenance and Support

Collecting feedback for the second release to be published  (D5.4, 6.4, 7.7 and 7..8 -expected January 2025) and final deliverable D3.6 -expected in March 2025)
Towards the end of the project it is expected to complete the different components and complete the integration of the different modules WP5 and WP6 are integrated with the Thematic Modules and used in the Use Cases.

Next Steps

Details

Project Year 1

Progress

Related project deliverables

D6.1 Report on requirements and core modules definition

D6.2 First release of the DTE core modules

Documentation

Discover the DTE Modules

Core DTE Module: itwinai

Components

KER 3 – Toolkit for AI workflow and method lifecycle management

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