Data-Driven Electrolyte Discovery Through Autonomous Battery Assembly, Testing, and Bayesian Optimization for Sustainable Aqueous Batteries
The rapid development of next-generation energy storage technologies increasingly depends on the ability to efficiently explore high-dimensional materials and formulation spaces. Automation combined with data-driven optimization provides a powerful pathway to accelerate discovery while reducing experimental cost and hu...