AI | The Art of the Possible

An abstract digital visualization displaying data flow and network connectivity. Glowing lines in blue, red, orange, and yellow stream across a dark blue background filled with binary code, circuit patterns, and data analytics charts. Illuminated dots and nodes cluster on the right side, representing data points or network nodes. The left side shows various digital interface elements including graphs, percentages, and monitoring icons, creating a representation of big data processing, artificial intelligence, or network analysis.

Leveraging know-how with AI into efficient product design

July 14, 2026

Is your engineering data a hidden goldmine? Overcome the ‘cold start’ problem in AI by using geometric similarity and transfer learning to transform existing models and simulations into powerful assets, speeding up product design and innovation

By Nicolas Lammens and Stijn Donders

5 MIN READ

Transfer Learning accelerating the shift to new battery materials and chemistries

June 18, 2026

Unlock faster battery innovation with transfer learning! This blog reveals how AI accelerates the discovery and optimization of new battery materials, rapidly advancing sustainable energy solutions for a brighter future

By Stijn Jonckheere and Laszlo Farkas

6 MIN READ

Agentic AI for simulation post-processing

Ask, don’t click: Agentic AI takes the pain out of simulation post-processing

June 15, 2026

Picture this. You have just finished a hydraulic drive-cycle simulation in Simcenter Amesim. The solver finished in four minutes. Excellent….

By Kai Liu, Viorica Puscas and Dorlis Bergmann

7 MIN READ

ML for Industrial CAE – “Just scale it”

April 7, 2026

By scaling up ML, engineers can more quickly iterate and optimize their product design, thanks to faster simulations. ML can speed up traditional methods, which makes it easier to integrate their capabilities within established company software and processes. Read about our ML engineering innovation journey in the frame of the research project ML4SIM!

By Adrien Scheuer, Onur Atak and Stijn Donders

9 MIN READ

Lithium Solid State Battery for EV Electric Vehicle, new research and development batteries with solid electrolyte energy storage for automotive car industry, cathode

Accelerating battery innovation through simulation

February 3, 2026

Tired of slow battery development? Discover how Siemens and the FULL-MAP project are accelerating battery innovation! We’re adopting advanced modeling and simulation to achieve next-generation batteries faster. Our research will accelerate battery design and shaping the future of electrification and sustainability. For this purpose, we target faster, cheaper and more predictive battery development cycles with fewer experiments and quicker iterations.

By Stijn Jonckheere and Laszlo Farkas

4 MIN READ

From Enterprise AI to DIY: My journey with Teamcenter AI Chat and creating a custom serverless version

January 2, 2026

AI Chat moves from enterprise scale to DIY in this Art of the Possible blog. Follow the journey behind Teamcenter AI Chat and learn how its core ideas. RAG, safety guardrails, and smart system design can be recreated using a lightweight, serverless approach. A practical take on building AI Chat that actually delivers value.

By Siddharth Kale

3 MIN READ

How do you engineer GenAI Solutions? Siemens and the ELFMo Project

July 11, 2025

Generative AI promises to change the way we work and live. Although still a nascent technology, we’re now seeing impressive…

By Robin Bornoff

5 MIN READ

From outdated to up-to-date: Modernizing deprecated code with multi-agents

March 13, 2025

Automation in Simcenter STAR-CCM+ with Java Macro Automation in Simcenter STAR-CCM+ has revolutionized how users interact with CFD simulations, providing…

By Maria Bonner and Robin Bornoff

4 MIN READ

Quantum Computing: Tackling the readout challenge

February 18, 2025

With Quantum Computing we are (likely!) to see a transformation. Product roadmaps of Quantum Hardware providers project an exponential growth of computing power.

By Daniel Berger and Dirk Hartmann

4 MIN READ