Transfer Learning accelerating the shift to new battery materials and chemistries

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

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

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.

Figure 2 - UD tape TECHNYL Lite C118 T130 C60 (©DOMO)

Lightweighting by engineered composite materials, manufacturing and performance

Building bridges with simulation The development of new products increasingly demands the use of novel materials crafted through advanced manufacturing…

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

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