Spoke 9 – Consorzio iNEST

Models, Methods, Computing Technologies for Digital Twin

Digital Twins: from mathematics, a catalyst for innovation

A dramatic shift is on the horizon in modern economics, and at its core lies the transformative force of digitalization. This revolutionary process allows for the constant optimization of processes and substantial cost savings, hence marking the beginning of a new era of efficiency across industries. Digitalization is a pillar of the iNEST Consortium: it is the key for industries in North-Eastern Italy to establish themselves as efficiency models and innovation drivers.

At the forefront of this digital revolution stands the visionary concept of the Digital Twin (DT), the virtual replica of a real-world product or process. iNEST Spoke 9 dedicates all its research efforts to the development of Digital Twins and its application across diverse fields. Yet, to truly harness their potential, a deep understanding of the underlying behaviors and functions of their real-world counterparts is essential.

In the quest to create accurate Digital Twins, scientists wield sophisticated tools of mathematical and numerical modeling. Real-time data flows between physical objects and virtual replicas facilitate constant communication and refinement. To ensure ever-closer alignment between DTs and their real counterparts, invaluable support is provided by mathematical and numerical tools such as Reduced Order Models and Uncertainty Quantification techniques.

Leader and Partners

Thanks to their research activities, the Spoke 9 Leader and Partners will drive innovation and efficiency to unprecedented heights.

International School for Advanced Studies (SISSA)

Leader

University of Padua (UNIPD)

Partner

University of Trieste (UNITS)

Partner

National Institute of Oceanography and Experimental Geophysics (OGS)

Partner

Research Topics

The research activities of Spoke 9 are supported and enhanced by four Research Topics (RTs), designed to tackle the forefront challenges in the fields of mathematical and numerical models, scientific computing, and Digital Twins.

MATHEMATICAL, NUMERICAL AND
DATA-DRIVEN MODELING

A robust framework for mathematical modeling is forged, integrating it with existing methods and software.
Through meticulous testing with datasets, together with the aid of Uncertainty Quantification (UQ), researchers ensure the reliability and accuracy of their models.

MODEL ORDER REDUCTION

Model Order Reduction (MOR) is a formidable tool for mathematical simulations, rendering complex computations much more manageable.
MOR leads to improved real-time computing and incorporates UQ, helping scientists navigate through diverse problems in their quest for accuracy and reliability.

AUTOMATIC LEARNING FOR DIGITAL TWINS

The dynamic synergy of Machine Learning (ML) and Reduced Order Models (ROMs) finds a pioneering application in High-Performance Computing, as the frontier of automatic Digital Twins (DTs) in industry is approached. Through seamless and perpetual data exchange, scientists pave the way for smart industrial integration.

APPLICATIONS OF DIGITAL TWIN IN INDUSTRY, MEDICINE, ENVIRONMENTAL SCIENCES, DAILY LIFE

Embark on an exploration of the transformative potential of DTs across various sectors—from the environment to healthcare, improving daily life, and revolutionizing industrial processes. To meet the needs of each sector, digitizable elements are pinpointed and tailor-made applications are crafted.

Cross-Cutting Activities

iNEST’s vision of innovation and sustainability finds tangible expression through four Cross-Cutting Activities (CCs). These activities fuel the transformative power of the cutting-edge technologies developed within the scope of Spoke 9, making them a beacon of progress across diverse sectors.

SUPPORT TO THE GENERATION AND
THE DEVELOPMENT OF START-UPS
AND SPIN-OFFS

A pathway developed by individual Spokes to generate and select innovative ideas, to be transformed into research start-ups and spin-offs.

CREATION OF A NETWORK OF JOINT
STRATEGIC LABORATORIES BETWEEN
UNIVERSITIES AND COMPANIES

Universities and research institutions promote a different model of collaboration between universities and businesses, focusing on lab villages.

CITIZEN ENGAGEMENT INITIATIVES

Citizen, local community and civil society engagement is at the heart of the iNEST project, as well as all recent EU communications and strategies.

EDUCATION, FROM ITS TO LIFELONG LEARNING

Develop the knowledge, skills, attitudes and values that enable people to contribute to and benefit from an inclusive and sustainable future.

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