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July 22, 2025

RBF Morph Collaborates on Pioneering Automotive Design Study Published in Futurities

A new article published in the Summer 2025 issue of Futurities spotlights a breakthrough in multi-physics optimization for automotive wheel design, featuring a powerful collaboration between RBF Morph, the University of Rome “Tor Vergata”, and Nissan Technical Centre Europe. The publication, titled “Smarter wheels: How multi-physics optimization is shaping the future of automotive design”, was […]

July 15, 2025

New Thesis Explores Biomechanical Characterization of the L1 Vertebra through Statistical Modelling and Mesh Morphing

A new Master’s thesis by Francesco Pais, completed at the University of Rome Tor Vergata, introduces an innovative approach to the biomechanical characterization of the L1 vertebral body. The study, titled “A characterization of the vertebral body of L1 vertebra’s mechanical properties through Statistical Shape and Appearance Modelling”, is now available for download and represents […]

July 11, 2025

SafeBot4Twin: Secure LLM-Based Chatbot for Medical Digital Twin Management

SafeBot4Twin is an EU-funded project by the Cyber 4.0 competence center, uniting RBF Morph and MedTech startup LivGemini to develop a secure chatbot powered by Large Language Models (LLMs) for managing medical digital twins. These twins rely on sensitive clinical data, increasingly targeted by cyberattacks. The project addresses the need for intuitive, secure tools that […]

July 1, 2025

New Thesis Published in Collaboration with Piaggio and RBF Morph

A new thesis by Danilo Lampasona, conducted at the University of Rome Tor Vergata in collaboration with Piaggio and RBF Morph, is now available on our website. The title is: Structural Optimization of a Four-Stroke Engine Connecting Rod: from High-Fidelity FEM Simulation to Artificial Intelligence The work focuses on the structural optimization of a connecting […]

June 17, 2025

Digital Twin for the Aerodynamic Development of a MotoGP Motorcycle through Mesh Morphing and Reduced-Order Models

The thesis Digital Twin for the Aerodynamic Development of a MotoGP Motorcycle through Mesh Morphing and Reduced-Order Models, presented by Filippo Bardelloni at the University of Rome Tor Vergata, outlines a complete simulation-driven design workflow for aerodynamic optimization in motorsports. The work combines RBF Morph, Ansys Fluent, and Ansys Twin Builder to enable geometry parameterization, […]