Publication date: 15th December 2025
Accelerating the discovery and optimization of energy materials is essential for achieving global sustainability targets. Traditional experimental workflows in battery and electrocatalysis research remain labor-intensive, time-consuming, and difficult to reproduce. To overcome these challenges, the DIGIBAT facility at Imperial College London has been established as the UK’s first automated high-throughput platform for energy research.
DIGIBAT integrates robotics, precision liquid and solid handling, electrode preparation, coin cell assembly, and electrochemical testing—covering the entire workflow from material synthesis to device characterization. Supported by digital twin software (Arksuite), the system enables seamless experiment design, execution, and data capture for reproducible and scalable research.
This presentation will introduce the key capabilities of DIGIBAT, including automated electrolyte formulation, electrode coating optimization, and electrochemical testing. Recent case studies demonstrate DIGIBAT’s role in accelerating discovery for battery and Power-to-X technologies, with ongoing developments linking automated experimentation to AI-driven decision-making frameworks.
By combining automation, data management, and intelligent experiment planning, DIGIBAT provides support for efficient materials discovery and bridging the gap between digital design and experimental validation in sustainable energy research.
DIGIBAT is funded by UKRI/EPSRC Strategic Equipment Grant EP/W036517/1.
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