数据驱动研制发光材料的策略与挑战OA北大核心CSTPCD
Strategies and Challenges of Data-driven Research and Discovery in Luminescent Materials
人工智能在高效处理数据、精准预测、自动化执行任务以及个性化服务等方面为人类的生产、生活和科学研究带来了极大的便利.机器学习与高通量计算在材料领域的广泛渗透与成功应用,也为发光材料的研制开辟了新路径——通过算法进行高效挖掘和大规模数据处理,加速新材料的筛选与设计,进而推动材料的创新发现与应用进程.本文综述了近年来基于数据驱动发光材料研究的前沿进展,从相关研究案例出发,对数据驱动材料研究进行全流程梳理,详细阐述发光材料研制场景下数据获取阶段的重要性及…查看全部>>
Artificial intelligence has been bringing a great of convenience for human in manufacture,life,science and technology,for its abilities of efficient data analyses,accurate prediction,automatic task executing,and person-alized service.Machine learning and high-throughput computing have extensively permeated and successfully ap-plied in the field of materials,opening up new horizons for innovative research and design methods in luminescent materials.By employi…查看全部>>
黄霖;解荣军
厦门大学材料学院,福建厦门 361005厦门大学材料学院,福建厦门 361005
物理学
数据驱动发光材料机器学习高通量计算发光材料数据工厂
data-drivenluminescent materialsmachine learninghigh-throughput computingluminescent materials data fab
《发光学报》 2024 (8)
1219-1231,13
国家重点研发计划"稀土新材料"重点专项(2022YFB3503800,2022YFB3503801)Supported by the National Key Research and Development Program(2022YFB3503800,2022YFB3503801)
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