{"title":"辐射输运方程的约束控制:基于冻结扩散模型的新方法","authors":"Hualing Zhong , Hui Xie , Shuai Wang , Heng Yong","doi":"10.1016/j.cpc.2025.109777","DOIUrl":null,"url":null,"abstract":"<div><div>We propose the frozen diffusion model (FDM), which is a new method developed on the framework of diffusion model and can be used to solve the constrained control problem of the radiation transport equation. FDM adopts the strategy of “freezing the known conditions”. During the noise diffusion process, this strategy avoids the interference of noise on known information, thus improving the learning efficiency and control precision. Through several numerical experiments, including spatial single-point flux control, spatial region flux control and ones of multiscale transport, the effectiveness and superiority of our method in different situations are fully demonstrated. It is worth noting that FDM greatly reduces the demand for training data, and provides a practical solution for solving complex radiative transport control problems.</div></div>","PeriodicalId":285,"journal":{"name":"Computer Physics Communications","volume":"316 ","pages":"Article 109777"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constrained control of the radiative transport equation: A novel approach based on the frozen diffusion model\",\"authors\":\"Hualing Zhong , Hui Xie , Shuai Wang , Heng Yong\",\"doi\":\"10.1016/j.cpc.2025.109777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We propose the frozen diffusion model (FDM), which is a new method developed on the framework of diffusion model and can be used to solve the constrained control problem of the radiation transport equation. FDM adopts the strategy of “freezing the known conditions”. During the noise diffusion process, this strategy avoids the interference of noise on known information, thus improving the learning efficiency and control precision. Through several numerical experiments, including spatial single-point flux control, spatial region flux control and ones of multiscale transport, the effectiveness and superiority of our method in different situations are fully demonstrated. It is worth noting that FDM greatly reduces the demand for training data, and provides a practical solution for solving complex radiative transport control problems.</div></div>\",\"PeriodicalId\":285,\"journal\":{\"name\":\"Computer Physics Communications\",\"volume\":\"316 \",\"pages\":\"Article 109777\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Physics Communications\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0010465525002796\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Physics Communications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010465525002796","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Constrained control of the radiative transport equation: A novel approach based on the frozen diffusion model
We propose the frozen diffusion model (FDM), which is a new method developed on the framework of diffusion model and can be used to solve the constrained control problem of the radiation transport equation. FDM adopts the strategy of “freezing the known conditions”. During the noise diffusion process, this strategy avoids the interference of noise on known information, thus improving the learning efficiency and control precision. Through several numerical experiments, including spatial single-point flux control, spatial region flux control and ones of multiscale transport, the effectiveness and superiority of our method in different situations are fully demonstrated. It is worth noting that FDM greatly reduces the demand for training data, and provides a practical solution for solving complex radiative transport control problems.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.