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Journal of Fusion Energy最新文献

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Retraction Note: Determination of the Plasma Internal Inductance and Evaluation of its Effects on Plasma Horizontal Displacement in IR-T1 Tokamak 撤回说明：IR-T1 托卡马克中等离子体内部电感的测定及其对等离子体水平位移影响的评估
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-16 DOI: 10.1007/s10894-024-00467-y
A. Salar Elahi, M. Ghoranneviss
{"title":"Retraction Note: Determination of the Plasma Internal Inductance and Evaluation of its Effects on Plasma Horizontal Displacement in IR-T1 Tokamak","authors":"A. Salar Elahi, M. Ghoranneviss","doi":"10.1007/s10894-024-00467-y","DOIUrl":"10.1007/s10894-024-00467-y","url":null,"abstract":"","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retraction Note: Differences Between the Toroidal and Poloidal Flux Loops in the Measurement of Plasma Position in Tokamaks 撤回说明：测量托卡马克等离子体位置时环形和极环形通量环的差异
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00466-z
A. Salar Elahi, M. Ghoranneviss
{"title":"Retraction Note: Differences Between the Toroidal and Poloidal Flux Loops in the Measurement of Plasma Position in Tokamaks","authors":"A. Salar Elahi, M. Ghoranneviss","doi":"10.1007/s10894-024-00466-z","DOIUrl":"10.1007/s10894-024-00466-z","url":null,"abstract":"","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of Injected Current Streams on MHD Equilibrium Reconstruction of Local Helicity Injection Plasmas in a Spherical Tokamak 注入电流流对球形托卡马克中局部螺旋注入等离子体的 MHD 平衡重构的影响
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00460-5
J. D. Weberski, M. W. Bongard, S. J. Diem, R. J. Fonck, J. A. Goetz, M. D. Nornberg, J. A. Reusch, C. E. Schaefer, A. C. Sontag
{"title":"Effects of Injected Current Streams on MHD Equilibrium Reconstruction of Local Helicity Injection Plasmas in a Spherical Tokamak","authors":"J. D. Weberski,&nbsp;M. W. Bongard,&nbsp;S. J. Diem,&nbsp;R. J. Fonck,&nbsp;J. A. Goetz,&nbsp;M. D. Nornberg,&nbsp;J. A. Reusch,&nbsp;C. E. Schaefer,&nbsp;A. C. Sontag","doi":"10.1007/s10894-024-00460-5","DOIUrl":"10.1007/s10894-024-00460-5","url":null,"abstract":"<div><p>Open field line currents are intrinsic to DC helicity injection plasma startup and pose a challenge for inferring the plasma equilibrium with standard reconstruction analysis. Local helicity injection (LHI) is a type of DC helicity injection which uses small, modular current sources to drive force-free current along helical field lines to produce tokamak plasmas. MHD modeling and magnetic measurements during LHI indicate the injected current streams remain coherent as helical structures on the outboard edge of a core toroidal plasma that is tokamak-like in a toroidally averaged sense. To extract core plasma equilibrium properties, external magnetic diagnostics corrected for contributions from the injected current streams are fitted by a standard Grad-Shafranov equilibrium code. An iterative approach for estimating and subtracting the stream contributions from the diagnostic signals is described and applied to a model equilibrium database to reduce systematic errors introduced by the streams. Convergence is usually attained with 2 to 4 iterations, with derived equilibrium parameters matching the prescribed axisymmetric core values to within estimated experimental uncertainties. Accurate recovery of core parameters occurs when the ratio of the net toroidal windup current from the streams to the core plasma current is less than 0.2, which is typically satisfied in most experiments.</p></div>","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10894-024-00460-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retraction Note: Demonstration of Shafranov Shift by the Simplest Grad–Shafranov Equation Solution in IR-T1 Tokamak 撤稿说明：用 IR-T1 托卡马克中最简单的格拉德-沙弗诺夫方程解法证明沙弗诺夫偏移
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00468-x
A. Rahimirad, M. Emami, M. Ghoranneviss, A. Salar Elahi
{"title":"Retraction Note: Demonstration of Shafranov Shift by the Simplest Grad–Shafranov Equation Solution in IR-T1 Tokamak","authors":"A. Rahimirad,&nbsp;M. Emami,&nbsp;M. Ghoranneviss,&nbsp;A. Salar Elahi","doi":"10.1007/s10894-024-00468-x","DOIUrl":"10.1007/s10894-024-00468-x","url":null,"abstract":"","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retraction Note: Multipole Moments Based Study on Determination of Toroidal Plasma Equilibrium Position and Shift 撤回说明：基于多极矩的环形等离子体平衡位置和位移测定研究
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-12 DOI: 10.1007/s10894-024-00469-w
Ahmad Salar Elahi
{"title":"Retraction Note: Multipole Moments Based Study on Determination of Toroidal Plasma Equilibrium Position and Shift","authors":"Ahmad Salar Elahi","doi":"10.1007/s10894-024-00469-w","DOIUrl":"10.1007/s10894-024-00469-w","url":null,"abstract":"","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retraction Note: Nano-Scale Precipitates of Reduced Activation Steels for the Application of Nuclear Fusion Reactors 撤稿说明：用于核聚变反应堆的还原活化钢的纳米级沉淀物
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00462-3
S. Moniri, M. Ghoranneviss, M. R. Hantehzadeh, A. Salar Elahi
{"title":"Retraction Note: Nano-Scale Precipitates of Reduced Activation Steels for the Application of Nuclear Fusion Reactors","authors":"S. Moniri,&nbsp;M. Ghoranneviss,&nbsp;M. R. Hantehzadeh,&nbsp;A. Salar Elahi","doi":"10.1007/s10894-024-00462-3","DOIUrl":"10.1007/s10894-024-00462-3","url":null,"abstract":"","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neutron-Alpha Reaction Cross Section Determination by Machine Learning Approaches 通过机器学习方法确定中子-阿尔法反应截面
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00461-4
Naima Amrani, Cafer Mert Yeşilkanat, Serkan Akkoyun
{"title":"Neutron-Alpha Reaction Cross Section Determination by Machine Learning Approaches","authors":"Naima Amrani,&nbsp;Cafer Mert Yeşilkanat,&nbsp;Serkan Akkoyun","doi":"10.1007/s10894-024-00461-4","DOIUrl":"10.1007/s10894-024-00461-4","url":null,"abstract":"<div><p>This study focuses on leveraging powerful machine learning approaches to determine neutron- alpha reaction cross-sections within the 14–15 MeV energy range. The investigation utilizes an experimental dataset comprising measurements of 133 nuclei concerning (<i>n</i>,<i> α</i>) reaction cross- sections. These data are divided into training and validation subsets, following established protocols, with 80% allocated for model training and 20% for testing. Key nucleus characteristics, including neutron number (<i>N</i>), mass number (<i>A</i>), and symmetry representation [(<i>N</i>-<i>Z</i>)²/<i>A</i>], were used as input variables for the machine learning models. SVR and XGBoost methods showed superior performance among the other machine learning methods used in the present study. In addition, a machine learning based online calculation tool was developed to estimate the reaction cross section.</p></div>","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142410886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retraction Note: Effects of Hot Limiter Biasing on Tokamak Runaway Discharges 撤回说明：热限制器偏置对托卡马克失控放电的影响
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00464-1
A. Salar Elahi, M. Ghoranneviss, M. R. Ghanbari
{"title":"Retraction Note: Effects of Hot Limiter Biasing on Tokamak Runaway Discharges","authors":"A. Salar Elahi,&nbsp;M. Ghoranneviss,&nbsp;M. R. Ghanbari","doi":"10.1007/s10894-024-00464-1","DOIUrl":"10.1007/s10894-024-00464-1","url":null,"abstract":"","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retraction Note: Feedback System Design for Plasma Horizontal Position Control in IR-T1 Tokamak 撤回说明：IR-T1 托卡马克中等离子体水平位置控制的反馈系统设计
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-10-09 DOI: 10.1007/s10894-024-00463-2
A. Naghidokht, R. Khodabakhsh, M. Ghoranneviss, A. Salar Elahi
{"title":"Retraction Note: Feedback System Design for Plasma Horizontal Position Control in IR-T1 Tokamak","authors":"A. Naghidokht,&nbsp;R. Khodabakhsh,&nbsp;M. Ghoranneviss,&nbsp;A. Salar Elahi","doi":"10.1007/s10894-024-00463-2","DOIUrl":"10.1007/s10894-024-00463-2","url":null,"abstract":"","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142410933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial Neural Network-Based Tomography Reconstruction of Plasma Radiation Distribution at GOLEM Tokamak 基于人工神经网络的 GOLEM 托卡马克等离子体辐射分布断层扫描重建技术
IF 1.9 4区 工程技术
Journal of Fusion Energy Pub Date : 2024-09-04 DOI: 10.1007/s10894-024-00458-z
S. Abbasi, J. Mlynar, J. Chlum, O. Ficker, V. Svoboda, J. Brotankova
{"title":"Artificial Neural Network-Based Tomography Reconstruction of Plasma Radiation Distribution at GOLEM Tokamak","authors":"S. Abbasi,&nbsp;J. Mlynar,&nbsp;J. Chlum,&nbsp;O. Ficker,&nbsp;V. Svoboda,&nbsp;J. Brotankova","doi":"10.1007/s10894-024-00458-z","DOIUrl":"10.1007/s10894-024-00458-z","url":null,"abstract":"<div><p>The paper presents an artificial neural network-based model for tomography reconstruction of visible plasma radiation distribution at the GOLEM tokamak. The model was trained using a dataset from emissivity phantoms and associated synthetic measurements from a poloidal cross-section of the GOLEM tokamak. The model validation was performed on the prediction of various unseen phantom samples with shapes similar to those in the training dataset. The backfit of line-integrated measurements indicates the considerable potential of the proposed model for reconstructing the position, size, shape and intensity of the radiation function of one cross section. Additionally, the neural network-based model offers a significantly shorter prediction time compared to traditional tomography methods, providing a substantial advantage.</p></div>","PeriodicalId":634,"journal":{"name":"Journal of Fusion Energy","volume":"43 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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