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.

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

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.

Automation with VLMs

Visual Language Models: Turning design chaos into order

Visual Language Models (VLMs) are revolutionizing design by combining visual perception with language understanding, enabling engineers to classify, search, and explore complex models with natural prompts. Their remarkable generalization abilities make them invaluable for component identification. With VLMs, design chaos transforms into streamlined efficiency.

Industrial Metaverse interactive parametric POD-ROM

Computer Aided Engineering in the Industrial Metaverse – Part 4

In Part 3 we showed how a reduced order model (ROM) could be interacted with in an Industrial Metaverse context….

The process of innovation: Then and now – Synthetic force fields as a worked example: Part 2

As a mechanical engineer I kind of get SDFs (signed distance fields), a field beyond or within an object’s boundaries whose strength and sign is proportional to the distance away from that object’s boundary. My innovation conception was maybe if that SDF was considered as a force field then it might be used to attract or repel neighbouring 2D objects so as to identify an optimal tessellation of N given 2D shapes

The process of innovation: Then and now – synthetic force fields as a worked example: Part 1

What do you think about as you fall off to sleep? An embarrassing social situation event that you wish you could redress, or do you save that for when you wake up at 3am when the real despondency sets in? Don’t worry, everyone experiences that to absolutely no avail. To bypass those embarrassing recollections I’ve of late taken to thinking about shapes instead. Different types of shapes, topologies of different assemblies of shapes and the forces that might govern their tessellation. Not everyone’s cup of tea, but when needs must and you’re trying to nod off…

GenAI Automation through code generaiton

The role of Generative AI in simulation tool automation: From zero to hero

Imagine being able to express your simulation queries in natural language, with the software dynamically responding to carry out tasks and provide solutions. This development could democratize the use of advanced tools from the Simcenter portfolio making them more accessible to users with varying levels of expertise.

ITEA4 ELFMo Engineering GenAI Solutions

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

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

Diurnal thermal simulation in the Industrial Metaverse

Simulation and the Industrial Metaverse

The Industrial Metaverse (IMV) does not yet exist, not like the Internet does. Since its foundations in the 1960s, through…