Video: Machine Learning Models for Batteries

Tejs Vegge (DTU) talks on uncertainty-aware maschine learning models for battery cells, chemical reaction networks and solid electrolyte interfaces. This is part of the Battery Interface Genome – Materials Acceleration Platform (BIG-MAP) project. They propose a radical paradigm shift in battery innovation, which will lead to a dramatic speed-up in the battery discovery and innovation time; reaching a 5-10 fold increase relative to the current rate of discovery within the next 5-10 years.