ALBATROSS · Liquid electrolytes
Automated electrolyte formulation, coin-cell assembly and electrochemical evaluation.
Supported by LG Energy Solution.
Watch on YouTube ↗Our approach
Connect automated synthesis and measurements with structured data collection, AI-guided experiment selection and feedback from each result to search compositions and processing conditions.
Connected research
AI and atomistic modeling propose promising materials and testable predictions. Autonomous synthesis and measurements validate those predictions, expand experimental datasets and guide the next cycle of discovery and optimization.
Research goals
We expand and integrate AI agents and self-driving laboratories (SDLs) to accelerate battery materials discovery. Our platforms collect large experimental datasets, identify promising materials, optimize compositions and synthesis conditions, and validate predictions from AI and atomistic modeling through synthesis and measurements.
Our next goal is to add new experimental modules and connect these platforms through AI agents to build a Self-driving Center for battery materials development, covering materials design, synthesis, characterization and cell-level testing.
Our self-driving laboratories
Our group has developed several AI agents and established three SDLs for battery materials research.
ALBATROSS · Liquid electrolytes
Liquid electrolyte development, funded by LG Energy Solution.
Read the paper ↗Solid electrolyte SDL
Solid electrolyte development, funded by Merck.
Watch the platform video ↗Cathode materials SDL
Cathode materials development, funded by POSCO Holdings.
Read the news article ↗Our platforms in action
Solid electrolyte SDL
Automated synthesis and characterization of solid electrolytes.
Supported by Merck.
Watch on YouTube ↗People and facilities
Find subgroup descriptions, team assignments and project records, together with the lab’s synthesis, cell fabrication, analysis, automation and computing equipment.