Core Insights - ByteDance and BYD announced a collaboration to deepen the application of AI for Science technology in lithium battery research through the establishment of a joint laboratory [1][2] - BYD's recently launched megawatt fast-charging battery can achieve "charging in 5 minutes for a range of 400 kilometers," with significant contributions from ByteDance's BAMBOO AI model framework [1] - The BAMBOO framework utilizes machine learning to predict key performance indicators of electrolyte solutions, significantly reducing the research and development cycle [1][2] Technology Overview - BAMBOO-MLFF is a machine learning force field designed for liquid-phase organic small molecule design, integrating molecular dynamics algorithms with AI model network design [2] - BAMBOO-Mix is a formulation generation and prediction model that can generate potential formulations based on constraints and quickly predict properties of given formulations [2] - The BAMBOO framework effectively addresses the challenges of high computational costs associated with traditional quantum mechanics simulations while maintaining accuracy [2] Industry Implications - The collaboration exemplifies the deep application value of AI technology in traditional manufacturing, potentially providing new development pathways for technological innovation in the power battery industry [3]