基于ESI的化学与人工智能领域热点交叉主题识别与趋势研究  

Research on Identification and Trend of Chemistry and Artificial Intelligence Hot Cross Topics Based on ESI

作　　者：韩军伟[1] 汤国昌 赵世杰[1] Junwei Han;Guochang Tang;Shijie Zhao(School of Automation,Northwestern Polytechnical University,Xi'an 710072)

机构地区：[1]西北工业大学自动化学院,西安710072

出　　处：《中国科学基金》2024年第5期909-919,共11页Bulletin of National Natural Science Foundation of China

基　　金：国家自然科学基金项目(721A0001)的资助。

摘　　要：探讨化学领域与人工智能的交叉现况,挖掘热点交叉研究主题,能够为基金项目资助决策提供有力依据,从而优化资源分配,促进化学领域前沿科学进展。本研究基于交叉领域的期刊文献和基金项目数据,从发文量、国家/机构合作、学科交叉三个维度揭示交叉态势,通过期刊文献关键词共现与聚类分析识别热门交叉研究主题,并进一步结合中国、美国在各主题下的基金项目资助情况研究交叉领域的发展趋势。研究发现化学领域与人工智能交叉的研究随时间发展显著增加,识别出泛函理论、虚拟筛选等七个热点交叉主题,揭示了人工智能在化学领域的应用潜力以及发展趋势,并给予基金资助应针对不同的主题定制不同资助策略的启示。This study explores the current intersection between the fields of chemistry and artificial intelligence(AI)with the aim of identifying hot research topics.The goal is to provide strong evidence for decision-making in funding projects,thereby optimizing resource allocation and promoting cutting-edge scientific advancements in the field of chemistry.The research relies on cross-disciplinary journal literature and funding project data,revealing the interdisciplinary landscape through dimensions such as publication volume,international collaborations,and cross-disciplinary subjects.By employing co-occurrence and clustering analyses on keywords extracted from journal articles,the study identifies seven prominent cross-disciplinary research themes,including functional theory and virtual screening.Further analysis involves examining the funding situations in these topics for China and the United States.The findings highlight a significant growth in research at the intersection of chemistry and AI over time.The identified hot topics shed light on the potential applications of AI in chemistry and offer insights into future trends.The study suggests that funding strategies should be tailored to different themes,considering the distinct characteristics and requirements of each.This comprehensive approach not only enhances our understanding of the intersection between chemistry and AI,but also provides valuable guidance for strategic funding decisions to drive advancements in the field.

关 键 词：人工智能 化学领域 知识图谱 交叉主题识别 自然科学基金 

分 类 号：G353.1[文化科学—情报学] TP18[自动化与计算机技术—控制理论与控制工程]