RBF Morph

Revolutionize #simulations with our groundbreaking mesh morphing #technology. Achieve rapid, dependable shape optimization and cut costs in any industry.

[RBF Morph @RBFMorph]

⚓ 𝐅𝐫𝐨𝐦 𝐂𝐅𝐃 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐡𝐮𝐥𝐥 𝐨𝐩𝐭𝐢𝐦𝐢𝐬𝐚𝐭𝐢𝐨𝐧 How can GPU computing and AI help accelerate the development of more efficient marine designs? The presentation Enabling Faster Marine Design with GPU-Accelerated HELYX and AI Surrogates, delivered at ENGYS UGM 2026, explores this question through collaborative work by @nvidia, @engys_cae
and RBF Morph.

The study presents workflows combining geometry parameterisation with rbfCAE, HELYX-Marine simulations and NVIDIA GeoTransolver surrogate models.

The results include predictions of hydrodynamic quantities with less than 0.4% relative error for total resistance on the test set.

It also demonstrates the computational advantages of HELYX-GPU: on eight NVIDIA H100 GPUs, simulation times were reduced by approximately 14× for segregated cases and 25× for coupled cases compared with the CPU-based workflow.

A further aspect of the study examines the performance of HELYX-GPU, demonstrating substantial computational speed-ups for both segregated and coupled simulations on NVIDIA H100 GPUs.

𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤 𝐚𝐧𝐝 𝐝𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐭𝐡𝐞 𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: https://t.co/SympQxu35x
#RBFMorph #ENGYS #NVIDIA #CFD #MarineEngineering #AI

[RBF Morph @RBFMorph]

🚗 𝗙𝗿𝗼𝗺 𝗖𝗙𝗗 𝘁𝗼 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: 𝗮𝗻 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗮𝗲𝗿𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻

A Mechanical Engineering thesis at the @unitorvergata, developed by Mihai Alin Helciug under the supervision of Prof. Marco Evangelos Biancolini and Emanuele Di Meo, combines 𝗥𝗕𝗙 𝗠𝗲𝘀𝗵 𝗠𝗼𝗿𝗽𝗵𝗶𝗻𝗴, 𝗖𝗙𝗗, 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗢𝗿𝗱𝗲𝗿 𝗠𝗼𝗱𝗲𝗹𝘀 and 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 to optimize a Formula SAE race car.

The results include a 5% reduction in drag coefficient, while maintaining constant vertical load, and an interactive VR environment on Meta Quest 3 for real-time visualization of aerodynamic pressure maps.

🎥 Watch the video to discover the complete workflow!

👉 Learn more: https://t.co/5yUa37UUgE

Don't forget to subscribe to our YouTube channel!
https://t.co/euXkqtNzpf

#CFD #DigitalTwin #FormulaSAE #VirtualReality

[RBF Morph @RBFMorph]

🧠 𝗠𝗔𝗞𝗜𝗡𝗚 𝗠𝗘𝗗𝗜𝗖𝗔𝗟 𝗗𝗜𝗚𝗜𝗧𝗔𝗟 𝗧𝗪𝗜𝗡𝗦 𝗦𝗠𝗔𝗥𝗧𝗘𝗥, 𝗦𝗔𝗙𝗘𝗥 𝗔𝗡𝗗 𝗠𝗢𝗥𝗘 𝗔𝗖𝗖𝗘𝗦𝗦𝗜𝗕𝗟𝗘

What if healthcare professionals could interact with complex Medical Digital Twins simply by using natural language, while ensuring the security of sensitive clinical data?

This is the vision behind 𝗦𝗮𝗳𝗲𝗕𝗼𝘁𝟰𝗧𝘄𝗶𝗻, a project successfully completed by RBF Morph, together with LivGemini and in collaboration with the @unitorvergata.

The project has delivered results that exceeded our expectations, demonstrating how Large Language Models (LLMs) can bridge the gap between advanced simulation technologies, clinical applications and cybersecurity.

🔐 Its innovative chatbot combines cybersecurity monitoring, vulnerability assessment and real-time risk alerts with an intuitive interface for interacting with Medical Digital Twins.

🎥 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝗻𝗱 𝗶𝘁𝘀 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗶𝗻 𝗼𝘂𝗿 𝘃𝗶𝗱𝗲𝗼:
https://t.co/G07wInqXpH

A successful collaboration bringing together AI, engineering, cybersecurity and medical innovation!

🇪🇺 SafeBot4Twin was funded by the European Union – Next Generation EU (PNRR), Mission 4, Component 2, Investment 2.3, within the Cyber 4.0 ecosystem.

👉 Subscribe to our YouTube channel for more updates on our projects and innovations!

#SafeBot4Twin #MedicalDigitalTwins #ArtificialIntelligence #Cybersecurity #DigitalHealth #RBFMorph #LivGemini

[RBF Morph @RBFMorph]

🏎️ 𝗥𝗲𝗶𝗺𝗮𝗴𝗶𝗻𝗶𝗻𝗴 𝗿𝗮𝗰𝗲 𝗰𝗮𝗿 𝗮𝗲𝗿𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗥𝗕𝗙 𝗠𝗲𝘀𝗵 𝗠𝗼𝗿𝗽𝗵𝗶𝗻𝗴 𝗮𝗻𝗱 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗥𝗲𝗮𝗹𝗶𝘁𝘆

What happens when advanced mesh morphing, CFD simulations and immersive technologies come together? A more interactive approach to aerodynamic design.

A Mechanical Engineering thesis by Helciug Mihai Alin, at the @unitorvergata, explores this combination through the development of an interactive Digital Twin for a Formula SAE race car, under the supervision of @MEBiancolini and @Emanuele_Di_Meo.

🔧 𝗙𝗿𝗼𝗺 𝗴𝗲𝗼𝗺𝗲𝘁𝗿𝘆 𝘁𝗼 𝗺𝗲𝘀𝗵 𝗺𝗼𝗿𝗽𝗵𝗶𝗻𝗴

Using RBF Morph, the main aerodynamic components – front and rear wings, sidepods and diffuser – were parametrized and modified directly on the computational mesh, without the need to rebuild the CAD geometry or generate a new mesh.

💻 𝗙𝗮𝘀𝘁𝗲𝗿 𝗮𝗲𝗿𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗲𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻

A Design of Experiments comprising 116 design points provided the CFD snapshots used to develop two Reduced Order Models (ROMs), for static pressure and wall shear stress.

📊 𝗠𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁

The aerodynamic optimization delivered a 5% reduction in the drag coefficient, while keeping the vertical load constant.

🥽 𝗦𝘁𝗲𝗽𝗽𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗥𝗲𝗮𝗹𝗶𝘁𝘆

The static pressure ROM was exported as an FMU and integrated into a VR application running on Meta Quest 3. Users can interactively adjust the aerodynamic components through virtual sliders and immediately visualize the resulting pressure maps, with rendering at 60 fps.

Read more: https://t.co/rj4ffl3OkK

#MeshMorphing #CFD #AerodynamicDesign #ReducedOrderModels #DigitalTwin #VirtualReality #FormulaSAE

[RBF Morph @RBFMorph]

🏎️ 𝐅𝐫𝐨𝐦 𝐅𝐨𝐫𝐦𝐮𝐥𝐚 𝟏 𝐁𝐫𝐚𝐤𝐢𝐧𝐠 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐂𝐅𝐃: 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐎𝐮𝐫 𝐋𝐚𝐭𝐞𝐬𝐭 𝐂𝐚𝐬𝐞 𝐒𝐭𝐮𝐝𝐲

How can RBF-based reduced-order mesh motion make continuous manoeuvre simulations more efficient?

At ENGYS UGM 2026, Marco Evangelos Biancolini presented “Continuous Maneuver CFD in HELYX Using RBF-Based Reduced-Order Mesh Motion: A Formula 1 Braking Case”.

The presentation illustrates the application of RBF Morph technology to a dynamic CFD scenario, in which vehicle motion during braking drives the deformation of the computational mesh. By using a reduced-order approach to RBF-based mesh motion, the workflow enables the simulation of continuous vehicle manoeuvres in HELYX without repeatedly regenerating the mesh.

The Formula 1 case study focuses on the challenges of capturing vehicle kinematics and tyre–ground interaction within a continuously evolving simulation.

📥 Interested in the technical implementation? Access the full presentation to explore the methodology, the simulation workflow and its application to Formula 1 braking.

👉 https://t.co/S0QqlMKdU6

#RBFMorph #CFD #Formula1 #HELYX #MeshMorphing #EngineeringSimulation @engys_cae

[RBF Morph @RBFMorph]

𝐄𝐍𝐆𝐘𝐒 𝐔𝐆𝐌 𝟐𝟎𝟐𝟔: 𝐀 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐄𝐝𝐢𝐭𝐢𝐨𝐧!

Three days of technical exchange, new insights and valuable discussions in Madrid! ENGYS UGM 2026 brought together the CFD community to explore advances in engineering simulation.

𝐑𝐁𝐅 𝐌𝐨𝐫𝐩𝐡 𝐰𝐚𝐬 𝐩𝐫𝐨𝐮𝐝 𝐭𝐨 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐞 𝐰𝐢𝐭𝐡 𝐭𝐰𝐨 𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐬𝐡𝐨𝐰𝐜𝐚𝐬𝐢𝐧𝐠 𝐢𝐭𝐬 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐢𝐧 𝐇𝐄𝐋𝐘𝐗:

🏎️ Marco Evangelos Biancolini presented an application of RBF-based reduced-order mesh motion for continuous manoeuvre CFD, featuring a Formula 1 braking case.

🚢 A joint contribution by RBF Morph, @engys_cae and @nvidia explored the combination of GPU-accelerated HELYX simulations and AI surrogates for faster marine design.

Both presentations demonstrated how RBF Morph software can support advanced CFD applications, from complex vehicle dynamics to marine engineering.

A sincere thank you to ENGYS, NVIDIA, all the speakers and participants for an excellent event and a valuable opportunity to share expertise and strengthen collaborations.

#CFD #Engineering #Simulation #AI

[RBF Morph @RBFMorph]

🔐 𝗦𝗮𝗳𝗲𝗕𝗼𝘁𝟰𝗧𝘄𝗶𝗻: 𝗯𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝗔𝗜, 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀

Medical Digital Twins are opening new possibilities in pharmaceutical research and surgical planning. But how can we make these advanced technologies both more accessible and more secure?

𝗦𝗮𝗳𝗲𝗕𝗼𝘁𝟰𝗧𝘄𝗶𝗻 is addressing this challenge through an innovative approach that combines Large Language Models (LLMs) with cybersecurity to enable safe, natural-language interaction with Medical Digital Twins.

𝗥𝗕𝗙 𝗠𝗼𝗿𝗽𝗵 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗲𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, working alongside 𝗟𝗶𝘃𝗚𝗲𝗺𝗶𝗻𝗶 as project partner, in collaboration with the University of Rome Tor Vergata within the Cyber 4.0 ecosystem.

The project is developing an AI-based chatbot designed to:

🔹 Support cybersecurity through vulnerability assessments and real-time risk alerts.

🔹 Allow healthcare professionals to interact with complex simulation environments using natural-language commands, without requiring specialised IT skills.

🔹 Strengthen the protection of sensitive patient information through secure communication and authentication mechanisms.

The technology will be evaluated through pilot studies based on RBF Morph’s pharmaceutical applications and LivGemini’s cardiovascular surgical planning tools. These activities will help assess the solution’s effectiveness and bring both platforms closer to operational deployment.

By combining AI-driven interaction with cybersecurity, SafeBot4Twin aims to make Medical Digital Twins more accessible to healthcare professionals while supporting the responsible use of clinical data.

📌 𝗙𝘂𝗻𝗱𝗲𝗱 𝗯𝘆 the European Union – Next Generation EU (PNRR), Mission 4, Component 2, Investment 2.3, with co-financing from Cyber 4.0.

https://t.co/KjWyEBlnkH

#MedicalDigitalTwins #Cybersecurity #ArtificialIntelligence #DigitalHealth @unitorvergata

[RBF Morph @RBFMorph]

🏎️ 𝗙𝗿𝗼𝗺 𝗥𝗕𝗙-𝗕𝗮𝘀𝗲𝗱 𝗠𝗲𝘀𝗵 𝗠𝗼𝘁𝗶𝗼𝗻 𝘁𝗼 𝗙𝗼𝗿𝗺𝘂𝗹𝗮 𝟭 𝗖𝗙𝗗 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻

How can reduced-order mesh motion help simulate a continuous manoeuvre such as Formula 1 braking?

At 𝗘𝗡𝗚𝗬𝗦 𝗨𝗚𝗠 𝟮𝟬𝟮𝟲 in Madrid, Ubaldo Cella, Senior CAE Engineer at RBF Morph, and Marco Evangelos Biancolini, Founder of RBF Morph and Associate Professor at the University of Rome Tor Vergata, presented their work on continuous manoeuvre CFD in HELYX.

Their presentation, Continuous Manoeuvre CFD in HELYX Using RBF-Based Reduced-Order Mesh Motion: A Formula 1 Braking Case, demonstrates the application of RBF-based reduced-order mesh motion to a dynamic simulation scenario.

🎥 Watch the presentation to explore the approach and its application.

#RBFCae #RBFMorph #CFD #HELYX #MeshMotion #EngineeringSimulation #ENGYSUGM2026 @engys_cae @unitorvergata

https://t.co/rwusldYuhe

[RBF Morph @RBFMorph]

𝗙𝗥𝗢𝗠 𝗦𝗖𝗜𝗘𝗡𝗧𝗜𝗙𝗜𝗖 𝗕𝗥𝗘𝗔𝗞𝗧𝗛𝗥𝗢𝗨𝗚𝗛𝗦 𝗧𝗢 𝗥𝗘𝗔𝗟-𝗪𝗢𝗥𝗟𝗗 𝗜𝗠𝗣𝗔𝗖𝗧: 𝗧𝗛𝗘 𝗠𝗲𝗗𝗶𝗧𝗔𝗧𝗲 𝗟𝗘𝗚𝗔𝗖𝗬

𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗺𝗲𝗲𝘁𝘀 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲? New technologies, knowledge transfer and opportunities for innovation.

A recent article published by Automazione Plus examines the impact of the European MeDiTATe project, coordinated by Professor Marco Evangelos Biancolini at the University of Rome Tor Vergata, and its contribution to the evolution of cardiovascular digital twins.

For RBF Morph, participation in MeDiTATe was part of a broader commitment to advancing simulation-driven engineering and digital twin technologies. Our expertise in RBF mesh morphing supports the efficient adaptation of computational models, helping engineers explore complex configurations and develop advanced simulation workflows.

𝗕𝘂𝘁 𝘁𝗵𝗲 𝗶𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝘀𝘁𝗼𝗽 𝗮𝘁 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. The MeDiTATe experience also demonstrates the value of technology transfer, academic education and entrepreneurship, with initiatives such as LivGemini, the spin-off co-founded by Professor Biancolini.

🔗 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲
https://t.co/dcsa10Yyk6

#RBFMorph #MeDiTATe #DigitalTwins #EngineeringSimulation #TechnologyTransfer #ResearchInnovation

[RBF Morph @RBFMorph]

🌊 𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐌𝐚𝐫𝐢𝐧𝐞 𝐂𝐅𝐃 𝐰𝐢𝐭𝐡 𝐆𝐏𝐔 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐀𝐈

How can AI and GPU acceleration make marine design faster and more efficient?

At ENGYS UGM 2026, I. Shokar and A. Ghasemi (@nvidia), P. Geremia and E. Costa (@engys_cae), and M. Machowski (@RBFMorph) contributed to a presentation exploring an integrated approach to accelerating marine CFD workflows.

“Enabling Faster Marine Design with GPU-Accelerated HELYX and AI Surrogates" showcased a deep-learning surrogate developed using NVIDIA PhysicsNeMo and trained on HELYX simulations of 128 KCS hull variants.

By using geometry-conditioned transformer models, the approach predicts key flow characteristics directly from hull geometry, including the free surface, Kelvin wake and surface fields. Drag and lift can then be estimated in seconds per design, rather than the hours required for conventional simulations.

The presentation also examined ENGYS’ GPU-accelerated HELYX solver, developed in collaboration with NVIDIA, which reduces the computational time required for CFD simulations and the creation of AI training datasets while maintaining the accuracy of the validated CPU solution.

Together, these technologies demonstrate how AI-based surrogates and GPU-accelerated simulation can complement one another, supporting faster design exploration and more efficient marine engineering workflows.

#ComputationalFluidDynamics #MarineEngineering #AI #RBFMorph

[RBF Morph @RBFMorph]

🏎️ 𝐅𝐫𝐨𝐦 𝐅𝐨𝐫𝐦𝐮𝐥𝐚 𝟏 𝐛𝐫𝐚𝐤𝐢𝐧𝐠 𝐭𝐨 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐂𝐅𝐃: 𝐑𝐁𝐅 𝐌𝐨𝐫𝐩𝐡 𝐚𝐭 𝐄𝐍𝐆𝐘𝐒 𝐔𝐆𝐌 𝟐𝟎𝟐𝟔

Today in Madrid, our founder Marco Evangelos Biancolini will present a technical contribution exploring new possibilities for dynamic vehicle simulation.

🎤 Presentation: “Continuous Manoeuvre CFD in HELYX Using RBF-Based Reduced-Order Mesh Motion: A Formula 1 Braking Case.”

🔬 What makes this approach relevant?

Simulating a vehicle during braking requires CFD methods capable of accommodating continuously evolving configurations and complex motion. Marco’s presentation will examine how RBF-based reduced-order mesh motion enables the computational mesh to adapt throughout a manoeuvre, avoiding repeated mesh regeneration.

The Formula 1 case study addresses vehicle kinematics and tyre–ground interaction, illustrating the potential of this methodology to support more efficient simulation workflows for challenging automotive aerodynamics applications.

📍 ENGYS User Group Meeting | Madrid | 21-23 October 2026

The event brings together leading experts and organisations from across the engineering sector to share practical experience and discuss advances in computational fluid dynamics. We look forward to contributing to the discussion and connecting with the international CFD community.

#CFD #MeshMorphing #RBFMorph #AutomotiveEngineering @engys_cae

[RBF Morph @RBFMorph]

🔬 𝗙𝗿𝗼𝗺 𝗻𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻: 𝗿𝗯𝗳𝗖𝗔𝗘 𝗶𝗻 𝘁𝗵𝗲 𝘀𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁

What if complex engineering simulations could become interactive tools for exploring designs and making decisions in real time? And what if the same technologies could contribute to more personalized medical treatments?

🇮🇹 Il Corriere della Sicurezza, an Italian technology publication, has dedicated an article to rbfCAE, RBF Morph’s approach to combining numerical simulation, Artificial Intelligence and Virtual Reality.

💡 𝗢𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺, 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗽𝗼𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

🔹 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻: Reduced Order Models (ROMs) enable near-instantaneous evaluations of design configurations, helping engineers explore alternatives more efficiently.

🔹 𝗠𝘂𝗹𝘁𝗶-𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗶𝗺𝗽𝗮𝗰𝘁: from aerospace and automotive applications to high-performance computing, advanced simulation supports increasingly demanding design challenges.

🔹 𝗡𝗲𝘄 𝗵𝗼𝗿𝗶𝘇𝗼𝗻𝘀 𝗶𝗻 𝗺𝗲𝗱𝗶𝗰𝗶𝗻𝗲: immersive technologies and patient-specific simulations can support the planning of complex cardiovascular procedures, including pediatric cardiac surgery.

By connecting computational engineering with AI and immersive visualization, rbfCAE brings simulation closer to the people who use it to innovate.

📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘀𝘁𝗼𝗿𝘆: https://t.co/NkNhMvVUFx

#RBFMorph #rbfCAE #ComputationalFluidDynamics #AI #ReducedOrderModels #VirtualReality #DigitalEngineering #PrecisionMedicine

[RBF Morph @RBFMorph]

🏎️ 𝐄𝐍𝐆𝐘𝐒 𝐔𝐆𝐌 𝟐𝟎𝟐𝟔 starts tomorrow!

RBF Morph founder Marco Evangelos Biancolini will present “Continuous Manoeuvre CFD in HELYX Using RBF-Based Reduced-Order Mesh Motion: A Formula 1 Braking Case.”

The presentation explores how to simulate a Formula 1 car during braking, accounting for changing vehicle kinematics and tyre–ground interaction as the manoeuvre evolves. Using RBF-based reduced-order mesh motion, the approach enables continuous geometric updates without repeatedly regenerating the computational mesh.

For CFD specialists, this offers a way to investigate transient vehicle dynamics through a more efficient simulation workflow, reducing the need for costly remeshing while capturing the effects of motion on the surrounding flow.

By combining RBF Morph technology with ENGYS’ HELYX CFD platform, the case demonstrates the potential of advanced mesh motion techniques for demanding automotive aerodynamics applications.

📍 Madrid | 23 October 2026

https://t.co/4ufQwujH1o

#CFD #MeshMorphing #RBFMorph #EngineeringSimulation @engys_cae

[RBF Morph @RBFMorph]

🏆 Marco Evangelos Biancolini among the world’s top 2% of scientists in 2026 — once again!

Professor of Machine Design at the @unitorvergata, Founder of @RBFMorph and Co-founder of LivGemini, #MEBiancolini has once again been included in the Stanford/Elsevier Top 2% Scientists 2026 list.

The ranking recognises researchers in two categories: Single-Year Impact, measuring scientific impact over the past year, and Career-Long Impact, assessing contributions throughout an entire career.

Professor Biancolini is featured in both categories, highlighting the impact of his research over time and his continued scientific contributions.

His work spans computational engineering, advanced simulation and Digital Twins, with applications in both industry and healthcare. Among the research projects he has been involved in are:

🔹 MeDiTATe – medical Digital Twins for aneurysm prevention and treatment.

🔹 SafeBot4Twin – AI and cybersecurity for safer Medical Digital Twins.

🔹 PANDORA – AI, advanced simulation and patient-specific Digital Twins for vascular surgery planning.

🔹 ROMed2VR – CFD, Reduced Order Models and Virtual Reality for pre-surgical planning in congenital heart disease.

These projects demonstrate how scientific research can drive technological innovation and help translate advanced engineering into practical solutions.

👏 Congratulations to Professor Biancolini on this continued recognition!

🔗 Discover the RBF Morph research projects: https://t.co/aSkiOieody

🔗 Explore the official Stanford/Elsevier dataset: https://t.co/hBwH8ulZp2

#ScientificExcellence #ResearchInnovation #DigitalTwins #RBFMorph #LivGemini

[RBF Morph @RBFMorph]

From high-fidelity simulations to real-time engineering decisions: introducing rbfCAE.

How can engineers explore more design alternatives without waiting for every full-scale CAE simulation to finish?

In its latest article, https://t.co/xy4PyttJRF — an Italian B2B Information Technology magazine covering digital innovation, industrial technology and automation — examines how RBF Morph’s new rbfCAE platform combines AI-based reduced-order models, multi-solver workflows and immersive Virtual Reality to accelerate engineering design exploration.

The article highlights three key applications:

- Aerospace: exploring aircraft configurations through AI-based aerodynamic models.

- Automotive: optimising wheel geometries for both weight reduction and aerodynamic performance, in collaboration with Nissan Motor Corporation.

- Paediatric cardiac surgery: using immersive VR to compare surgical configurations and assess their haemodynamic effects.

These examples illustrate the potential of integrating predictive models with interactive geometry modification: enabling engineers to assess design alternatives in near real time and focus high-fidelity simulations where they add the most value.

Read the full feature in https://t.co/rX9vIEsuDG’s OT & Automation section:
🔗 https://t.co/APyyjgAO4x

#RBFMorph #rbfCAE #CAE #ReducedOrderModelling #EngineeringSimulation #DigitalEngineering

[RBF Morph @RBFMorph]

𝐑𝐁𝐅 𝐌𝐨𝐫𝐩𝐡 𝐚𝐭 𝐄𝐍𝐆𝐘𝐒 𝐔𝐆𝐌 𝟐𝟎𝟐𝟔: 𝐑𝐁𝐅-𝐁𝐚𝐬𝐞𝐝 𝐌𝐞𝐬𝐡 𝐌𝐨𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐌𝐚𝐧𝐨𝐞𝐮𝐯𝐫𝐞 𝐂𝐅𝐃

Accurately simulating vehicle manoeuvres in CFD requires efficient methods for handling continuously changing configurations and moving boundaries. 𝐑𝐁𝐅-𝐛𝐚𝐬𝐞𝐝 𝐫𝐞𝐝𝐮𝐜𝐞𝐝-𝐨𝐫𝐝𝐞𝐫 𝐦𝐞𝐬𝐡 𝐦𝐨𝐭𝐢𝐨𝐧 offers a powerful approach, enabling complex kinematics to be simulated without repeated mesh regeneration.

At the 𝐄𝐍𝐆𝐘𝐒 𝐔𝐬𝐞𝐫 𝐆𝐫𝐨𝐮𝐩 𝐌𝐞𝐞𝐭𝐢𝐧𝐠 𝟐𝟎𝟐𝟔 in Madrid, our founder Marco Evangelos Biancolini will present this methodology through a high-fidelity Formula 1 braking case.

📅 23 October 2026

The presentation will explore how RBF-based techniques can address vehicle motion and tyre–ground interaction within continuous CFD simulation workflows, extending the possibilities for advanced engineering analysis.

This contribution also reflects the ongoing collaboration between RBF Morph and @engys_cae, combining advanced mesh morphing capabilities with CFD workflows based on HELYX and ELEMENTS.

We look forward to exchanging ideas with the international CFD community in Madrid!

https://t.co/4ufQwujH1o

#CFD #MeshMorphing #RBFMorph #EngineeringSimulation

[RBF Morph @RBFMorph]

𝐓𝐎𝐃𝐀𝐘 𝐖𝐄 𝐀𝐑𝐄 𝐀𝐓 𝐓𝐎𝐑 𝐕𝐄𝐑𝐆𝐀𝐓𝐀 𝐈𝐍𝐍𝐎𝐕𝐀𝐓𝐈𝐎𝐍 𝐃𝐀𝐘!

𝐅𝐫𝐨𝐦 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐚𝐧𝐝 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞𝐬 𝐭𝐨 𝐧𝐞𝐰 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐚𝐧𝐝 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩𝐬, 𝐭𝐨𝐝𝐚𝐲’𝐬 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚𝐥𝐥 𝐚𝐛𝐨𝐮𝐭 𝐭𝐮𝐫𝐧𝐢𝐧𝐠 𝐢𝐝𝐞𝐚𝐬 𝐢𝐧𝐭𝐨 𝐧𝐞𝐰 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬.

RBF Morph is joining researchers, companies and innovation stakeholders at the @unitorvergata, with the Discovery Hall providing a space to showcase research projects, technologies and Proofs of Concept from across the University.

We are looking forward to presenting our work, meeting professionals from industry and research, and discussing how our technologies can contribute to new engineering applications and collaborative projects.

𝐀𝐫𝐞 𝐲𝐨𝐮 𝐚𝐭 𝐓𝐨𝐫 𝐕𝐞𝐫𝐠𝐚𝐭𝐚 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐲? Come and meet us in the Discovery Hall — we would be pleased to connect.

📍 University of Rome Tor Vergata
📅 7 October 2026

#RBFMorph #InnovationDay #TorVergata #Research #Innovation #Engineering #TechnologyTransfer #Collaboration

[RBF Morph @RBFMorph]

🚀 RBF Morph at Tor Vergata Innovation Day – 7 October 2026

On 7 October, RBF Morph will take part in the @unitorvergata Innovation Day, bringing together researchers, companies and innovation stakeholders to discover new technologies and opportunities for collaboration.

At the heart of the event will be the Discovery Hall, showcasing the University’s research and innovation through prototypes, Proofs of Concept and scientific posters across six thematic areas, from Digital Infrastructure and Connectivity to Precision Medicine, Digital Health, Energy and Circularity, and Space and Matter.

The programme will also include the Blue Shift cybersecurity hackathon for Tor Vergata students and the final of Start Cup Lazio, highlighting the potential of university research to generate new technologies, startups and business opportunities.

🤝 A key part of the day will be the B2B meetings, offering companies the opportunity to connect directly with researchers and technology developers.

If you are interested in RBF Morph’s technologies and projects, you can request a one-to-one meeting with our team through the Innovation Matching platform and explore potential areas of collaboration.

📅 7 October 2026
📍 University of Rome Tor Vergata

🔗 More information and access to the Innovation Matching platform:
https://t.co/Z7FfCxEu8s

#TechnologyTransfer #OpenInnovation #Research #Innovation #Engineering

[RBF Morph @RBFMorph]

A great day at Ansys Simulation World Nordics 2026!

We were delighted to be part of Ansys Simulation World Nordics 2026 in Göteborg on October 1. The event was very well organized by @ANSYS and @Synopsys, bringing together professionals from across the engineering and simulation community for a day full of insightful presentations and valuable conversations.

For RBF Morph, it was a great opportunity to exchange ideas, discuss challenges and explore new perspectives with industry professionals, reconnect with old friends, and make new connections.

Beyond the inspiring discussions and technical insights, we also enjoyed Göteborg's warm welcome, with two beautiful sunny days making the experience even more memorable!

A big thank you to Ansys and Synopsys for the excellent organization, and to everyone who took the time to meet and talk with us.

We're already looking forward to the next Simulation World Nordics!

#RBFMorph #Ansys #Synopsys #SimulationWorldNordics #Engineering #Simulation #CAE #Innovation