{"title":"用人工神经网络模型计算偶偶36-58Ca、50-78Ni、102-138Sn和182-220Pb核的双中子分离能","authors":"H. Aytekin","doi":"10.7212/ZKUFBD.V8I2.1278","DOIUrl":null,"url":null,"abstract":"In this study, an Artificial Neural Network (ANN) model was developed in order to calculate the two-neutron separation energies (S2n) for the even-even nuclei 36-58Ca, 50-78Ni, 100-138Sn and 182-220Pb with the magic proton numbers, 20, 28, 50 and 82, respectively. The obtained results were compared with the Liquid Drop Model (LDM), Relativistic Mean Field Theory (RMFT) and the experimental results.","PeriodicalId":17742,"journal":{"name":"Karaelmas Science and Engineering Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calculation of the two-neutron separation energies of even-even 36-58Ca, 50-78Ni, 102-138Sn and 182-220Pb nuclei by an artificial neural network model\",\"authors\":\"H. Aytekin\",\"doi\":\"10.7212/ZKUFBD.V8I2.1278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, an Artificial Neural Network (ANN) model was developed in order to calculate the two-neutron separation energies (S2n) for the even-even nuclei 36-58Ca, 50-78Ni, 100-138Sn and 182-220Pb with the magic proton numbers, 20, 28, 50 and 82, respectively. The obtained results were compared with the Liquid Drop Model (LDM), Relativistic Mean Field Theory (RMFT) and the experimental results.\",\"PeriodicalId\":17742,\"journal\":{\"name\":\"Karaelmas Science and Engineering Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Karaelmas Science and Engineering Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7212/ZKUFBD.V8I2.1278\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Karaelmas Science and Engineering Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7212/ZKUFBD.V8I2.1278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculation of the two-neutron separation energies of even-even 36-58Ca, 50-78Ni, 102-138Sn and 182-220Pb nuclei by an artificial neural network model
In this study, an Artificial Neural Network (ANN) model was developed in order to calculate the two-neutron separation energies (S2n) for the even-even nuclei 36-58Ca, 50-78Ni, 100-138Sn and 182-220Pb with the magic proton numbers, 20, 28, 50 and 82, respectively. The obtained results were compared with the Liquid Drop Model (LDM), Relativistic Mean Field Theory (RMFT) and the experimental results.
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