业界共话AI加速材料研发新路径

Core Insights - The integration of artificial intelligence (AI) is transforming the new materials industry by enhancing research efficiency and reducing costs, as discussed in a recent roundtable at the China International New Materials Industry Expo [1] - AI is shifting material research from trial-and-error methods to more precise approaches, enabling faster achievement of research goals through forward design and reverse optimization [1] - Despite the promising outlook, the industry faces challenges such as data reliability, ethical concerns, and a shortage of skilled talent [2] Group 1: AI's Impact on Material Research - AI is deeply embedded in the entire new materials industry chain, allowing researchers to pursue the dream of forward materials design [1] - Companies like Huawei have reported significant cost savings and efficiency improvements through AI applications, such as a reduction of 7 million yuan annually for PetroChina's Jinzhou Petrochemical [1] - The transition from broad searches to precise matching in material development is extending from single applications to overall process optimization [1] Group 2: Challenges in AI Implementation - Data collection and cleaning are time-consuming processes that hinder research, with a lack of high-quality data for new materials like biomaterials and high-strength materials [2] - Ethical issues arise from the unclear delineation of contributions between algorithm providers and material developers, leading to potential disputes over knowledge ownership [2] - There is a pressing need for three types of interdisciplinary talent: AI tool developers, industry experts for validating results, and application personnel who can integrate AI into frontline operations [2] Group 3: Proposed Solutions - Experts suggest multi-level solutions, including enhancing national laboratory construction to support AI and materials design research, and establishing a national data-sharing mechanism [3] - The creation of "cloud laboratories" that integrate supercomputing and cloud resources is recommended to provide low-cost simulation services for small and medium-sized enterprises [3]