Xin-Chi Du, Wei Yang, Volodymyr Nosenko, Yang Miao, Wen-Xin Li, Jia-Yi Yu, He Huang and Cheng-Ran Du
{"title":"利用机器学习观测二维复杂等离子体中的六相","authors":"Xin-Chi Du, Wei Yang, Volodymyr Nosenko, Yang Miao, Wen-Xin Li, Jia-Yi Yu, He Huang and Cheng-Ran Du","doi":"10.1039/D4SM00929K","DOIUrl":null,"url":null,"abstract":"<p >Complex plasmas consist of ionized gas and charged solid microparticles, representing the plasma state of soft matter. We apply machine learning methods to investigate a melting transition in a two-dimensional complex plasma. A convolutional neural network is constructed and trained with the numerical simulation. The hexatic phase is successfully identified and the evolution of topological defects is studied during melting transition in both simulations and experiments.</p>","PeriodicalId":103,"journal":{"name":"Soft Matter","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Observation of the hexatic phase in a two-dimensional complex plasma using machine learning\",\"authors\":\"Xin-Chi Du, Wei Yang, Volodymyr Nosenko, Yang Miao, Wen-Xin Li, Jia-Yi Yu, He Huang and Cheng-Ran Du\",\"doi\":\"10.1039/D4SM00929K\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Complex plasmas consist of ionized gas and charged solid microparticles, representing the plasma state of soft matter. We apply machine learning methods to investigate a melting transition in a two-dimensional complex plasma. A convolutional neural network is constructed and trained with the numerical simulation. The hexatic phase is successfully identified and the evolution of topological defects is studied during melting transition in both simulations and experiments.</p>\",\"PeriodicalId\":103,\"journal\":{\"name\":\"Soft Matter\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soft Matter\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2024/sm/d4sm00929k\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Matter","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/sm/d4sm00929k","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Observation of the hexatic phase in a two-dimensional complex plasma using machine learning
Complex plasmas consist of ionized gas and charged solid microparticles, representing the plasma state of soft matter. We apply machine learning methods to investigate a melting transition in a two-dimensional complex plasma. A convolutional neural network is constructed and trained with the numerical simulation. The hexatic phase is successfully identified and the evolution of topological defects is studied during melting transition in both simulations and experiments.