AI在塑料助剂功能化设计中的应用潜力与实现路径OA

Artificial intelligence(AI)was a comprehensive technical system that simulated human cognitive and behavioral patterns,enabling machines to perform diverse functions such as autonomous learning and intelligent inference through the integration of algorithms with large-scale data.In the research and development and functional design of plastic additives,AI technology demonstrated broad application prospects,and could be integrated into critical stages including raw material screening,formulation optimization,production process control,and performance prediction,providing efficient and scientific decision-making support.Nevertheless,several limitations remained in its practical application,including insufficient quantity and quality of training data,relatively low transparency of algorithmic models,and unclear pathways for industrial implementation.To promote the deep integration of AI in the development of plastic additives,it was necessary to establish a data-sharing system adapted to industry characteristics,advance research on more interpretable algorithms,and summarize exemplary cases across different application scenarios,thereby gradually replacing the traditional trial-and-error-dependent R&D model and facilitating the industry's transformation from experience-driven to data-driven approaches.