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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

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

Enabling sound design through more accurate industrial vibro-acoustic trim models

April 19, 2024

Current-day product design engineers from many industries (manufacturers of cars, trains, planes, industrial machinery, white goods, smartphones, …) find themselves…

By Stijn Jonckheere
5 MIN READ