Computational workflow engine, matched with robotic platform, used to drive experiments for the first time

This article reports on a novel approach where a computational workflow engine, AiiDA, is integrated with a robotic platform for conducting automated experiments on batteries. This integration allows the platform to control experimental devices, manage data archiving, and perform analysis. The robotic setup assembles battery components, and then the batteries undergo cycles of charging and discharging, managed by an open-source software called tomato. This methodology represents a significant advancement in materials science, enabling more efficient and precise experimental processes.

You can read the full details on the experiment in the article on TechXplore: