interTwin is collecting a series of use cases provided by selected research communities in the fields of physics and environmental sciences/climate change. These use cases describe activities that will benefit of the use of a Digital Twin. Based on the input collected via the use cases, interTwin will develop a multi-domain Digital Twin Engine (DTE) – a collection of components that can be assembled into a DT. The use-cases will then use this DTE to assemble/build a DT that is specific for their domain or use-case.
Use Cases

interTwin Use Cases

Developing the necessary components to facilitate the automatic set up of a Digital Twin supporting

Creating a Digital Twin to realistically simulate ‘noise’ in the detector and study how it

Developing the components to set up a Digital Twins for flood early warning in coastal

Designing Deep neural networks (DNNs) to create Digital Twins capable of detecting tropical cyclones

Setting up a Digital Twin for fast particle detector simulation

Developing the components to set up a Drought Early Warning System for the Alps

Applying Machine Learning techniques to Lattice Simulation to speed up data generation and open up

Defining deep neural networks (DNNs) for creating Digital Twins for predicting fire danger on climate

Using AI to create a Digital Twin Application that can detect and characterize the changes

Building a digital twin of a source-telescope system that provides synthetic data, which can be