Where We Are

Monte Compatri, 00077

What Are You Looking For?

January 29, 2023

Digital Twins and Medicine 4.0: from in silico simulations to patient specific solutions

Our Founder and CTO Prof. Marco Evangelos Biancolini recently held a lecture on ‘Digital Twins & Medicine 4.0’ as a guest of the seminar ‘Polymeric heart valve replacements’ organized by the University of Sydney, Australia. Biancolini, Associate Professor of Machine Design at Università Tor Vergata in Rome, Italy, explored the theme of the medical digital twin […]

January 18, 2023

Development of a Three-Dimensional Statistical Shape Model of the Human Mandible

3D patient-specific computer models are a powerful tool for surgical planning, but generating them is time-consuming and expensive. Statistical shape models (SSMs) can provide a solution, as they can capture anatomical variations and represent different shapes in a parameterized manner. RBF Morph provides a stand alone software managed by Python. The software was used for […]

January 11, 2023

New papers published in Futurities

We are pleased to announce that two articles describing studies where RBF Morph was involved have been published by Futurities: Optimizing the shape of the M10 engine’s injector head methane circuit using RBF mesh morphing and Preliminary thermo-mechanical design, simulation and optimization of LAD on board the eXTP space mission. The first article is about […]

December 7, 2022

Workshop “Digital Twins For Aerospace”

The University of Rome “Tor Vergata” will guest the workshop titled “Digital Twins For Aerospace“. The event is organized by Marco Evangelos Biancolini and Ubaldo Cella, respectively professor of Machine Design and researcher at the Enterprise Engineering department “Mario Lucertini”.Professors and engineers, active in EU research programs, from academic, industry and research institutions, will provide […]

November 7, 2022

RBF Morph at the 38th CAE Conference

We participated as a sponsors in the 38th International CAE Conference. The event was divided into two separate and complementary initiatives: 16-17 November was dedicated to software technology producers, each of which had a channel to host their own symposium and to present particularly significant experiences or case studies online; 18 November was held, by […]

November 4, 2022

An RBF Meshless Approach to Evaluate Strain Due to Large Displacements in Flexible Printed Circuit Boards

We are pleased to announce that our paper entitled RBF Meshless Approach to Evaluate Strain Due to Large Displacements in Flexible Printed Circuit Boards has been published on Micromachines 2022. The paper can be downloaded at the following link: https://doi.org/10.3390/mi13081163 Abstract Thin plates are very often employed in a context of large displacements and rotations, for example, […]

September 30, 2022

32nd Symposium on Fusion Technology (SOFT 2022)

A research work powered by RBF Morph has been presented from University of Roma Tor Vergata at the 32nd Symposium on Fusion Technology (SOFT 2022). The event is organised by the Ruđer Bošković Institute (RBI), Croatia’s leading scientific institute in natural and biomedical sciences as well as marine and environmental research. The biennial symposium on fusion […]

September 27, 2022

RBF Morph at Ansys Level Up 3.0

Our founder, Marco E. Biancolini, was among the speakers at the Ansys Level Up 3.0. In the Mechanical track he gave an overview and a hands-on of our RBF Morph Structures: “Make FEA more Flexible with Mesh Morphing“. Mechanical track information: Tuesday, October 25, 2022 8.30 PM a 9.00 PM. In this webinar, you learned: […]

September 2, 2022

RBF Morph at the VPH 2022 Conference

RBF Morph attended the VPH2022 conference which took place in Porto, Portugal, from 6 to 9 September, 2022. The VPH2022 conference focused on: “Virtual bodies for treatment development and clinical trials” and touched the following main topics: Machine learning, big data and artificial intelligence Translation from in silico to clinical Computational biology and evolutionary genomics […]