{"title":"基于宏观状态马尔可夫链模型的多组分系统蒙特卡罗仿真","authors":"Ai Chen , Cynthia S. Hirtzel","doi":"10.1016/0956-9618(94)80019-7","DOIUrl":null,"url":null,"abstract":"<div><p>The Macro State Markov Chain Model (MSMCM) is useful in developing parallel Monte Carlo simulation schemes to dramatically reduce computer simulation time (Chen, A. Hirtzel, C. S. Molecular Physics 1993, submitted; Chen, A.; Ph.D. diss., 1993). In this article, some special issues are addressed to apply the MSMCM to multicomponent system. A fourth type of transition, “replacement,” in addition to the conventional “move,” “add” and “remove” transitions, is introduced to guarantee the reachability of all states in a macro state. Adsorption of a mixture of oxygen and nitrogen in zeolite 5A is studied using the MSMCM model</p></div>","PeriodicalId":101160,"journal":{"name":"Separations Technology","volume":"4 3","pages":"Pages 167-173"},"PeriodicalIF":0.0000,"publicationDate":"1994-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0956-9618(94)80019-7","citationCount":"4","resultStr":"{\"title\":\"Monte carlo simulation of multicomponent system by macro state markov chain model\",\"authors\":\"Ai Chen , Cynthia S. Hirtzel\",\"doi\":\"10.1016/0956-9618(94)80019-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The Macro State Markov Chain Model (MSMCM) is useful in developing parallel Monte Carlo simulation schemes to dramatically reduce computer simulation time (Chen, A. Hirtzel, C. S. Molecular Physics 1993, submitted; Chen, A.; Ph.D. diss., 1993). In this article, some special issues are addressed to apply the MSMCM to multicomponent system. A fourth type of transition, “replacement,” in addition to the conventional “move,” “add” and “remove” transitions, is introduced to guarantee the reachability of all states in a macro state. Adsorption of a mixture of oxygen and nitrogen in zeolite 5A is studied using the MSMCM model</p></div>\",\"PeriodicalId\":101160,\"journal\":{\"name\":\"Separations Technology\",\"volume\":\"4 3\",\"pages\":\"Pages 167-173\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0956-9618(94)80019-7\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Separations Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0956961894800197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Separations Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0956961894800197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
宏观状态马尔可夫链模型(MSMCM)在开发并行蒙特卡罗模拟方案以显著减少计算机模拟时间方面是有用的(Chen, A. Hirtzel, C. S. Molecular Physics 1993,提交;陈,a;博士羞辱。, 1993)。本文讨论了在多组件系统中应用MSMCM的一些特殊问题。除了传统的“移动”、“添加”和“删除”转换之外,还引入了第四种类型的转换“替换”,以保证宏观状态中所有状态的可达性。采用MSMCM模型研究了沸石5A对氧氮混合物的吸附
Monte carlo simulation of multicomponent system by macro state markov chain model
The Macro State Markov Chain Model (MSMCM) is useful in developing parallel Monte Carlo simulation schemes to dramatically reduce computer simulation time (Chen, A. Hirtzel, C. S. Molecular Physics 1993, submitted; Chen, A.; Ph.D. diss., 1993). In this article, some special issues are addressed to apply the MSMCM to multicomponent system. A fourth type of transition, “replacement,” in addition to the conventional “move,” “add” and “remove” transitions, is introduced to guarantee the reachability of all states in a macro state. Adsorption of a mixture of oxygen and nitrogen in zeolite 5A is studied using the MSMCM model