Data-driven finding of organic anode active materials for lithium-ion batteries from natural flower scent products using capacity predictors

New organic anode active materials for lithium-ion batteries, such as dichlorobenzene and pyrrole derivatives, have been efficiently identified using performance prediction models based on natural products from flower scents.