Machine Learning Analysis of Battery Videos Uncovers Ways to Improve Lithium Ion Storage

Researchers used machine learning to analyze X-ray videos of lithium ions moving in battery electrodes, revealing unprecedented physical and chemical details.

The new method suggested a way to improve charge storage and release in lithium-ion battery nanoparticles.

Analyzing each pixel in X-ray movies let researchers derive equations describing lithium insertion reactions in electrodes.

Variations in carbon coating thickness on particles control lithium ion flow rates, a finding that could improve battery efficiency.

The approach could provide insights into other chemical and biological systems like embryo cell division.