Artificial Intelligence

Robots and Artificial Intelligence within Battery Research

In battery research, scientists are looking for the ideal battery recipe for innovative materials. In order to do this, the researchers have to find the perfect mix of around one hundred “ingredients” such as atoms, molecules and process techniques such as heating, cooling or mixing. Trying out all the variations of “ingredients” and “preparation methods” would take thousands of years using traditional methods. That is why one specific research group at Helmholtz Institute Ulm is dedicated to so-called “high throughput materials research” in order to carry out many experiments automatically with the help of robots and artificial intelligence.

Research topics within high-throughput materials research

The robots in the HIU laboratories are able to carry out several thousand experiments a day. This corresponds roughly to the average life's work of a researcher and generates an enormous amount of information. With the help of algorithms and artificial intelligence (AI), the quality and information content of the measurements of the robot are evaluated fully automatically. The AI makes predictions and then plans a more precise follow-up experiment. She can plan the follow-up experiments up to 30 times better than the researchers.

Presentation: „KI und Roboter in der Batterieforschung“
Scientist: TT.-Prof. Dr. Helge Stein
Date: 10.07.2021
Link: https://www.youtube.com/watch?v=Dos3kYsfDco

Video: „Kann eine Künstliche Intelligenz Batterien erfinden?“
Scientist: TT.-Prof. Dr. Helge Stein
Date: 12.02.2021
Link: https://www.youtube.com/watch?v=lZxfTQQqgQ8

Presentation: „Künstliche Intelligenz in der Batterieforschung“
Scientist: TT.-Prof. Dr. Helge Stein
Date: 30.09.2021
Link: https://www.youtube.com/watch?v=QNr7NtJd5GQ

Podcast: „Künstliche Intelligenz in der Batterieforschung“
Scientist: TT.-Prof. Dr. Helge Stein
Date: 23.12.2021
Link: https://geladen.podigee.io/6-kuenstlicheintelligenz