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高分子材料基因组研究进展

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改变传统专家系统分析的方法,运用信息学中的科学计量方法,即基于信息学的第四研究范式,客观、全面地分析了高分子材料基因组领域的现状和发展趋势.研究表明,该领域已经进入了"快速发展期",形成了一些稳定产出的学术团队.目前的研究热点主要集中于机器学习策略在高分子材料中的应用,并且在光电材料、高分子电介质材料、高分子纳米复合材料、高性能复合材料和高分子生物材料上取得了一定的进展.最后,结合目前的研究进展探讨了高分子材料基因组未来的发展方向.
Research Progress of Polymer Material Genomes
Polymer material genomes approach can effectively shorten the research and development cycle of new materials and reduce the research and development cost by building infrastructure such as high-throughput calculation,high-throughput experiment and materials big data.As the volume of publications in this field increases,new methods are needed to review and analyze trends in the field of knowledge.Based on the fourth research paradigm of informatics,this review changes the traditional expert system analysis method and uses scientometrics to review the research progress in the field of polymer material genomes.From the five dimensions of publication trend,journal distribution,research country distribution,high-yield authors and academic teams,and co-citation network,this review objectively and comprehensively analyzes the research distribution and status in this field.The field of polymer material genomes has entered a"period of rapid development"and has formed some academic teams with stable outputs.At present,the hot topics of research are mainly focused on the application of machine learning strategies in polymer materials,and certain progress has been made in photoelectric materials,polymer dielectric materials,polymer nanocomposites,high-performance composites and polymer biomaterials.Finally,combining with the current research progress,it is proposed to promote the construction of polymer material database,and further develop the polymer material genome method with wider properties and accurate prediction.

polymer material genomesscientometricsresearch statuspolymer materialmachine learning

应斐儿、高梁、林嘉平、杜磊

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华东理工大学 科技信息研究所,上海 200237

华东理工大学 材料科学与工程学院, 上海市先进聚合物材料重点实验室,上海 200237

高分子材料基因组 科学计量 研究现状 高分子材料 机器学习

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金

52394271518330032197507322103025

2024

功能高分子学报
华东理工大学

功能高分子学报

CSTPCD北大核心
影响因子:0.336
ISSN:1008-9357
年,卷(期):2024.37(2)
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