{"title":"Optimal Neutron Spectrum Database for In-reactor <sup>238</sup>Pu Production.","authors":"Qingquan Pan, Xiaojing Liu, Yun Cai","doi":"10.1002/advs.202410995","DOIUrl":null,"url":null,"abstract":"<p><p>Plutonium-238 (<sup>238</sup>Pu) is a scarce heat-source radioisotope used in nuclear batteries, which is produced by in-reactor irradiation of Americium-241 (<sup>241</sup>Am) or Neptunium-237 (<sup>237</sup>Np). Optimizing the neutron spectrum can improve the production efficiency of <sup>238</sup>Pu, but currently, it is still a lack of knowledge about the optimal neutron spectrum for <sup>238</sup>Pu production. Genetic algorithms and burnup algorithms are combined to identify optimal neutron spectra for <sup>238</sup>Pu production under various irradiation times and flux levels, and build an optimal neutron spectrum database, which answers the questions \"What is the optimal neutron spectrum for <sup>238</sup>Pu production?\" and \"What is the maximum efficiency for <sup>238</sup>Pu production\" once and for all. This database can be referred to for determining the optimal neutron spectrum, guiding the neutron spectrum regulation process to improve the yield of <sup>238</sup>Pu. Moreover, these results find that the production method of in-reactor irradiation <sup>237</sup>Np not only has a higher yield but also achieves a higher purity of <sup>238</sup>Pu than that of in-reactor irradiation <sup>241</sup>Am, which conflicts with the traditional experiences, providing with previously unknown insights and helping break through the efficiency limit of traditional methods, maximizing <sup>238</sup>Pu production.</p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":" ","pages":"e2410995"},"PeriodicalIF":14.3000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/advs.202410995","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Plutonium-238 (238Pu) is a scarce heat-source radioisotope used in nuclear batteries, which is produced by in-reactor irradiation of Americium-241 (241Am) or Neptunium-237 (237Np). Optimizing the neutron spectrum can improve the production efficiency of 238Pu, but currently, it is still a lack of knowledge about the optimal neutron spectrum for 238Pu production. Genetic algorithms and burnup algorithms are combined to identify optimal neutron spectra for 238Pu production under various irradiation times and flux levels, and build an optimal neutron spectrum database, which answers the questions "What is the optimal neutron spectrum for 238Pu production?" and "What is the maximum efficiency for 238Pu production" once and for all. This database can be referred to for determining the optimal neutron spectrum, guiding the neutron spectrum regulation process to improve the yield of 238Pu. Moreover, these results find that the production method of in-reactor irradiation 237Np not only has a higher yield but also achieves a higher purity of 238Pu than that of in-reactor irradiation 241Am, which conflicts with the traditional experiences, providing with previously unknown insights and helping break through the efficiency limit of traditional methods, maximizing 238Pu production.
期刊介绍:
Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.