{"title":"人工智能时代评论写作的未来。","authors":"Zhiling Zheng","doi":"10.1038/s41570-025-00738-y","DOIUrl":null,"url":null,"abstract":"Agentic workflows powered by large language models are beginning to assist chemists in literature search, summarization, and outline drafting. Though they remain unable to replace expert insight, these systems promise to reshape how reviews are prepared — shifting the human role from exhaustive curator to creative synthesizer, empowered by intelligent, always-on review-copilots.","PeriodicalId":18849,"journal":{"name":"Nature reviews. Chemistry","volume":"9 8","pages":"495-496"},"PeriodicalIF":51.7000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The future of reviews writing in the AI era\",\"authors\":\"Zhiling Zheng\",\"doi\":\"10.1038/s41570-025-00738-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agentic workflows powered by large language models are beginning to assist chemists in literature search, summarization, and outline drafting. Though they remain unable to replace expert insight, these systems promise to reshape how reviews are prepared — shifting the human role from exhaustive curator to creative synthesizer, empowered by intelligent, always-on review-copilots.\",\"PeriodicalId\":18849,\"journal\":{\"name\":\"Nature reviews. Chemistry\",\"volume\":\"9 8\",\"pages\":\"495-496\"},\"PeriodicalIF\":51.7000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature reviews. Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.nature.com/articles/s41570-025-00738-y\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature reviews. Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.nature.com/articles/s41570-025-00738-y","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Agentic workflows powered by large language models are beginning to assist chemists in literature search, summarization, and outline drafting. Though they remain unable to replace expert insight, these systems promise to reshape how reviews are prepared — shifting the human role from exhaustive curator to creative synthesizer, empowered by intelligent, always-on review-copilots.
期刊介绍:
Nature Reviews Chemistry is an online-only journal that publishes Reviews, Perspectives, and Comments on various disciplines within chemistry. The Reviews aim to offer balanced and objective analyses of selected topics, providing clear descriptions of relevant scientific literature. The content is designed to be accessible to recent graduates in any chemistry-related discipline while also offering insights for principal investigators and industry-based research scientists. Additionally, Reviews should provide the authors' perspectives on future directions and opinions regarding the major challenges faced by researchers in the field.