Physics-driven digital twin for laser powder bed fusion on GPUs
Stephanie Ferreira, Benjamin Klein, André Stork and Dieter Fellner

A comparison of equation-based and machine learning models of industrial scale deposition processes
Paris Papavasileiou, Eleni D. Koronaki, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Andreas G. Boudouvis and Stéphane P.A. Bordas

Digitization Principles for Application Scenarios towards Digital Twins of Organizations
Anna Sumereder and Robert Woitsch

Interpretable and scalable Reduced Order Modelling for Digital Twins in manufactoring
Valentina Zambrano, Salvador Izquierdo and Manuel Laspalas

Digital twins for cyber-physical systems
Peter Gorm Larsen, Jalil Boudjadar, Lukas Esterle, Mirgita Frasheri, Claudio Gomes, Alexandros Iosifidis, Hugo Macedo, Emil Madsen, Carl Schultz, Prasad Talasila, Casper Thule and Jim Woodcock

Data-driven geometric modelling methods for digital twinning: manufacturing, geospatial and medical applications
Oliver Barrowclough, Sverre Briseid, Tor Dokken, Konstantinos Gavriil and Georg Muntingh

Wind Turbine Control using Machine Learning techniques
Lorenzo Schena

Digital twins of electric machines
Karim Cherifi, Philipp Schulze and Volker Mehrmann

Isogeometric representations for digital twins subjected to dynamic excitations with GEOMISO DNL software
Panagiotis Karakitsios, Ioannis Prentzas and Athanasios Leontaris

An efficient mCRE-DDM based approach for model updating in structural dynamics with industrial applications
Zouhair Samir, Ludovic Chamoin and Mickael Abbas

Adjoint framework and digital twin for smart placement of depolluting panels in urban areas
Julien Waeytens, Fatiha Chabi, Tsubasa Hamada, Rachida Chakir and Delphine Lejri

PREDICTION OF THE BIOMASS PARTICLES THROUGH THE PHYSICS-INFORMED NEURAL NETWORK
Fateme Darlik, Prasad Adhav and Bernhard Peters