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Measurement of neutron spectra in spent fuel storage 乏燃料贮存中的中子光谱测量。
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-18 DOI: 10.1016/j.apradiso.2024.111552
Miloš Tichý , Ondřej Huml , Tomáš Bílý , Evžen Losa , Evžen Novák , Bohumil Jánský , Jiří Rejchrt
The neutron spectrum was measured at two locations in the spent fuel storage facility of the Temelín nuclear power plant. The measurement had two primary objectives: to map the neutron -γ field by quantifying the ambient dose equivalent H∗(10) and to identify methods that could improve the quality of the adjusted neutron spectrum using a Bonner Sphere Spectrometer (BSS). Three spectrometers were used: a BSS and two proton recoil spectrometers. Hydrogen-filled proportional counters and an EJ309 scintillator were used to construct the a priori spectrum for BSS adjustment. The details of this process and its results are discussed. The a posteriori spectrum was used to calculate the ambient dose equivalent H∗(10). The resulting spectrum is highly thermalised, but the predominant contribution to H∗(10) was in the 100 keV-1.3 MeV range. The use of hydrogen-proportional counters in combination with the BSS is recommended.
在特梅林核电站乏燃料储存设施的两个地点测量了中子频谱。测量有两个主要目标:通过量化环境剂量当量 H∗(10)来绘制中子 -γ 场图,以及确定可使用邦纳球形光谱仪(BSS)提高调整后中子谱质量的方法。使用了三台光谱仪:一台 BSS 和两台质子反冲光谱仪。充氢比例计数器和 EJ309 闪烁器用于构建用于 BSS 调整的先验光谱。本文讨论了这一过程的细节及其结果。后验光谱用于计算环境剂量当量 H∗(10)。得出的光谱热化程度很高,但 H∗(10)的主要贡献在 100 keV-1.3 MeV 范围内。建议将氢比例计数器与 BSS 结合使用。
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引用次数: 0
Production cross sections of 102mRh and 108mAg in proton bombed natPb target with 400 MeV energy 质子轰击 400 MeV 能量的 natPb 靶件中 102mRh 和 108mAg 的产生截面。
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-16 DOI: 10.1016/j.apradiso.2024.111533
Qi-Ze Liu , Wen-Han Dai , Ming Zeng , Zhi Zeng , V.F. Batyaev , K.V. Pavlov , A.Yu. Titarenko , Yu.E. Titarenko , R.S. Tikhonov , V.M. Zhivun
The accelerator-driven subcritical system (ADS) is a competitive option for next-generation nuclear energy systems. Production cross sections of long-lived residual radioactive nuclides in a proton-nuclide reaction are basic quantities for the calculation of accumulated radioactivity in the use of ADS systems. This work presents the production cross sections of 102mRh and 108mAg in a natural lead (natPb) target activated by 400 MeV protons. The natPb target was irradiated by a 400 MeV proton beam in NRC “Kurchatov Institute” and measured two decades later by a low background gamma spectrometer in China Jinping Underground Laboratory (CJPL). A spectrum analysis method based on simulated single-isotope spectrum and Bayesian peak fitting was employed to compute the activities and production cross sections of the residual nuclides. The experimentally measured cross-sections for 102mRh and 108mAg were 0.72 ± 0.05 mb and 0.76 ± 0.09 mb respectively. These values are approximately twice as high as those predicted by the QGSP_INCLXX_HP model and fall within the range predicted by the INCL4+ABLA and LAQGSM+GEM2 models for mass numbers A=102 and A=108. These findings offer new experimental insights for ADS research and provide a practical benchmark for theoretical models concerning proton-lead interactions.
加速器驱动的亚临界系统(ADS)是下一代核能系统的一个具有竞争力的选择。质子-核素反应中长寿命残余放射性核素的生成截面是计算使用 ADS 系统时累积放射性的基本量。本研究介绍了 102mRh 和 108mAg 在被 400 MeV 质子激活的天然铅(natPb)靶中的产生截面。natPb 靶是在国家核研究中心 "库尔恰托夫研究所 "用 400 兆电子伏质子束辐照的,二十年后在中国锦屏地下实验室用低本底伽马能谱仪进行了测量。采用基于模拟单同位素谱和贝叶斯峰拟合的谱分析方法,计算了残余核素的放射性活度和生成截面。实验测得的102mRh和108mAg的截面分别为0.72 ± 0.05 mb和0.76 ± 0.09 mb。这些值大约是 QGSP_INCLXX_HP 模型预测值的两倍,并且在 INCL4+ABLA 和 LAQGSM+GEM2 模型预测的质量数 A=102 和 A=108 的范围内。这些发现为 ADS 研究提供了新的实验见解,并为质子-铅相互作用的理论模型提供了实用基准。
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引用次数: 0
The adsorption of cesium by sulfonic acid functionalized hollow mesoporous silica microspheres 磺酸功能化中空介孔二氧化硅微球对铯的吸附
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-15 DOI: 10.1016/j.apradiso.2024.111554
Wei Jiang , Xixiang Yue , Sili Chen , Zhengke Zhang , Ji Wang , Jinsong Wang
With the development of nuclear industry, radioactive elements such as 137Cs put a threat on the water environment. It is a challenging task to remove the Cs+ in the nuclear wastewater. In the current study, we prepared a new Cs+-adsorbing material by introducing sulfhydryl group onto the surface of hollow mesoporous silica microspheres, then oxidizing the sulfhydryl group to sulfonic acid group. The obtained HMSS-SO3H material had an excellent adsorption capacity for Cs+ in the aqueous solution, with an adsorption capacity of 51.53 mg g−1 in 30 min. Characterization approaches, such as FT-IR and EDS, were used to confirm the result of modification. Adsorption experiments were carried out under. The influence of various parameters on the adsorption process was investigated under the conditions of changing pH, temperature, and time. The effect of competitive ions was also explored. The results indicated that the adsorption process followed the pseudo-second-order model and the main adsorption mechanisms are electrostatic interaction and coordination. The material had a best adsorption performance at a neutral pH. The adsorption process could well-fit the Langmuir's model, with a theoretical maximum adsorption capacity of 81.31 mg g−1. And the adsorption capacity was slightly affected by competing ions such as Mg2+ and Ca2+. The results indicate that the HMSS-SO3H prepared in this study is a promising adsorbent for Cs+, with the advantages of high adsorption capacity, fast adsorption rate and high selectivity.
随着核工业的发展,137Cs 等放射性元素对水环境造成了威胁。如何去除核废水中的 Cs+ 是一项具有挑战性的任务。在本研究中,我们在中空介孔二氧化硅微球表面引入巯基,然后将巯基氧化为磺酸基,制备了一种新型 Cs+ 吸附材料。得到的 HMSS-SO3H 材料对水溶液中的 Cs+ 具有极佳的吸附能力,30 分钟内的吸附量为 51.53 mg g-1。傅立叶变换红外光谱(FT-IR)和 EDS 等表征方法证实了改性结果。在以下条件下进行了吸附实验。在改变 pH 值、温度和时间的条件下,研究了各种参数对吸附过程的影响。还探讨了竞争性离子的影响。结果表明,吸附过程遵循伪二阶模型,主要的吸附机理是静电作用和配位作用。该材料在中性 pH 条件下具有最佳的吸附性能。吸附过程完全符合 Langmuir 模型,理论最大吸附容量为 81.31 mg g-1。吸附容量受 Mg2+ 和 Ca2+ 等竞争离子的影响较小。结果表明,本研究制备的 HMSS-SO3H 是一种很有前途的 Cs+ 吸附剂,具有吸附容量大、吸附速率快和选择性高等优点。
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引用次数: 0
Development of a silicon carbide radiation detection system and experimentation of the system performance 开发碳化硅辐射探测系统并进行系统性能实验
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-15 DOI: 10.1016/j.apradiso.2024.111555
Jinlin Song , Xiaobin Tang , Pin Gong , Zhimeng Hu , Dajian Liang , Zeyu Wang , Peng Wang , Hong Ying , Haining Shi , Ao Liu , Zhifei Zhao , Song Bai
Silicon carbide (SiC) detectors have excellent radiation detection capabilities for various radiation particles, including high energy resolution, fast response times, and good radiation resistance. A SiC radiation detection system was developed to measure the neutron fluence rate and the γ-ray dose rate in high intensity radiation fields. The system was composed of two SiC detectors, a temperature monitor, two preamplifiers for each SiC detector, a data acquisition unit with two signal channels, three pairs of communication devices, and an application software to analyze and visualize the measurement data. The two SiC detectors were fabricated based on two kinds of 4H-SiC diodes and used to respectively respond to neutrons and γ-rays. Repeated experiments showed that the two SiC detectors of the system can respond to α-particles, neutrons, and γ-rays. To verify the performance of the SiC detection system, including the response linearity of the neutron fluence rate, the measurement range of the γ-ray dose rate, and the radiation resistance of the SiC radiation detectors, the system was tested in multiple neutron and γ-ray fields. The tests results show the system can measure the neutron fluence rate from 5.64 × 10 2 cm−2 s−1 to 1.03 × 10 5 cm−2 s−1 with excellent linearity response, and the γ-ray dose rate from 0.005 Gy/h to 20 Gy/h. Furthermore, the SiC detectors demonstrated good radiation resistance. The neutron and γ-ray radiation field can still be measured stably by the system after exposure to neutron fluence of 1.07 × 10 14 cm−2 and γ-ray dose of 3.52 × 10 4 Gy. This work is the preliminary research to continue the exploration how to measure the n/γ hybrid fields accurately using SiC detectors considering the different energy of neutrons.
碳化硅(SiC)探测器对各种辐射粒子具有出色的辐射探测能力,包括高能量分辨率、快速响应时间和良好的抗辐射能力。我们开发了一种碳化硅辐射探测系统,用于测量高强度辐射场中的中子通量率和γ射线剂量率。该系统由两个碳化硅探测器、一个温度监测器、每个碳化硅探测器的两个前置放大器、一个具有两个信号通道的数据采集单元、三对通信设备以及一个用于分析和显示测量数据的应用软件组成。两个 SiC 探测器是基于两种 4H-SiC 二极管制造的,分别用于响应中子和 γ 射线。反复的实验表明,该系统的两个 SiC 探测器可以对 α 粒子、中子和 γ 射线做出响应。为了验证 SiC 检测系统的性能,包括中子通量率的响应线性、γ 射线剂量率的测量范围以及 SiC 辐射探测器的抗辐射能力,该系统在多个中子和γ 射线场中进行了测试。测试结果表明,该系统可测量 5.64 × 10 2 cm-2 s-1 至 1.03 × 10 5 cm-2 s-1 的中子通量率,线性响应极佳;可测量 0.005 Gy/h 至 20 Gy/h 的γ射线剂量率。此外,碳化硅探测器还具有良好的抗辐射能力。该系统在受到 1.07 × 10 14 cm-2 的中子通量和 3.52 × 10 4 Gy 的γ射线剂量照射后,仍能稳定地测量中子和γ射线辐射场。这项工作是继续探索如何利用碳化硅探测器准确测量不同能量中子的 n/γ 混合场的初步研究。
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引用次数: 0
Fabrication of polymeric shields to attenuation ionizing radiation and a flame retardant supported by nano-bismuth oxide prepared by co-deposition 用共沉积法制备的纳米氧化铋和阻燃剂制作可衰减电离辐射的聚合物防护罩
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-13 DOI: 10.1016/j.apradiso.2024.111556
Shaymaa Mohammed Fayyadh , Ali Ben Ahmed
The results of the preparation of protective shields from ionizing radiation, flame retardant from pure epoxy supported by nano-bismuth oxide, show that the protective shields supported by nanoparticles improve the attenuation properties, the thermal stability, the flame retardancy and mechanical properties. Also, the polymeric shield supported by Bi2O3 (Na2CO3) retardant the flame much better than supported by Bi2O3 (NaOH). Finally, the quality of the protective shields increased as the energy of the photons of the ionizing rays decreased.
纳米氧化铋支撑的纯环氧阻燃电离辐射防护罩的制备结果表明,纳米粒子支撑的防护罩在衰减性能、热稳定性、阻燃性和机械性能方面都有所改善。此外,Bi2O3(Na2CO3)支撑的聚合物防护罩的阻燃性能比 Bi2O3(NaOH)支撑的防护罩好得多。最后,保护罩的质量随着电离辐射光子能量的降低而提高。
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引用次数: 0
FECSG-ML: Feature Engineering for Nuclear Reaction Cross Sections Generation Using Machine Learning FECSG-ML:利用机器学习生成核反应截面的特征工程。
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-11 DOI: 10.1016/j.apradiso.2024.111545
Changsong Jin, Tiejun Li, Jianmin Zhang, Wei Zhang, Bo Yang, Ruixuan Ren, Cunhao Cui
In the field of nuclear science, obtaining and utilizing nuclear data, including nuclear reaction data, nuclear structure information, and radioactive decay data, is crucial. Neutron-induced nuclear reactions, particularly nuclear cross sections data, are essential for various applications, including reactor design. The EXFOR database is the only international repository for storing nuclear reaction experimental measurement information and data. However, experimental measurement data are often scarce, subject to discrepancies, or even errors, requiring human evaluation. This process can be prone to biases and significant uncertainties. To address these challenges, this study proposes a novel framework, Feature Engineering for Nuclear Reaction Cross Section Generation using Machine Learning (FECSG-ML), which employs machine learning methods to generate nuclear cross sections data, serving as a substitute for evaluating nuclear databases. Given the limited size of the EXFOR database, training a model solely on EXFOR data could lead to underfitting. Therefore, the proposed approach utilizes transfer learning, initially pre-training the model using the ENDF/B-VIII.0 dataset and subsequently fine-tuning it with the EXFOR database. This approach ensures high accuracy where real data are available and enables the learning of characteristics of the evaluation dataset where real data are lacking. Moreover, machine learning techniques are employed to transform discrete nuclear cross sections data into a continuous format, accommodating various isotopes and predicting multiple sets of cross sections data. The framework integrates various machine learning methods and utilizes ensemble learning for result optimization. Experimental results demonstrate that the regression curves generated by the FECSG-ML model align well with EXFOR data points, outperforming the ENDF/B-VIII.0 evaluation database. Furthermore, the nuclear cross sections data generated by the FECSG-ML model are applied in the OpenMC Monte Carlo simulation program to simulate pin fuel assemblies and CANDU reactors, confirming the effectiveness of the model. This study underscores the importance of accurate and reliable nuclear cross sections data and provides a method for substituting the evaluation of nuclear databases.
在核科学领域,获取和利用核数据(包括核反应数据、核结构信息和放射性衰变数据)至关重要。中子诱发的核反应,特别是核截面数据,对反应堆设计等各种应用至关重要。EXFOR 数据库是储存核反应实验测量信息和数据的唯一国际资料库。然而,实验测量数据通常很少,存在差异甚至错误,需要人工评估。这一过程容易产生偏差和重大不确定性。为了应对这些挑战,本研究提出了一个新颖的框架--利用机器学习生成核反应截面的特征工程(FECSG-ML),该框架采用机器学习方法生成核截面数据,可替代核数据库评估。鉴于 EXFOR 数据库的规模有限,仅根据 EXFOR 数据训练模型可能会导致拟合不足。因此,建议的方法利用迁移学习,首先使用ENDF/B-VIII.0 数据集对模型进行预训练,然后使用 EXFOR 数据库对其进行微调。在有真实数据的情况下,这种方法可确保高准确性,而在缺乏真实数据的情况下,则可学习评估数据集的特征。此外,还采用机器学习技术将离散的核截面数据转换为连续格式,以适应各种同位素和预测多组截面数据。该框架集成了各种机器学习方法,并利用集合学习进行结果优化。实验结果表明,FECSG-ML 模型生成的回归曲线与 EXFOR 数据点非常吻合,优于 ENDF/B-VIII.0 评估数据库。此外,FECSG-ML 模型生成的核截面数据被应用于 OpenMC 蒙特卡罗模拟程序,以模拟针形燃料组件和 CANDU 反应堆,从而证实了该模型的有效性。这项研究强调了准确可靠的核截面数据的重要性,并提供了一种替代核数据库评估的方法。
{"title":"FECSG-ML: Feature Engineering for Nuclear Reaction Cross Sections Generation Using Machine Learning","authors":"Changsong Jin,&nbsp;Tiejun Li,&nbsp;Jianmin Zhang,&nbsp;Wei Zhang,&nbsp;Bo Yang,&nbsp;Ruixuan Ren,&nbsp;Cunhao Cui","doi":"10.1016/j.apradiso.2024.111545","DOIUrl":"10.1016/j.apradiso.2024.111545","url":null,"abstract":"<div><div>In the field of nuclear science, obtaining and utilizing nuclear data, including nuclear reaction data, nuclear structure information, and radioactive decay data, is crucial. Neutron-induced nuclear reactions, particularly nuclear cross sections data, are essential for various applications, including reactor design. The EXFOR database is the only international repository for storing nuclear reaction experimental measurement information and data. However, experimental measurement data are often scarce, subject to discrepancies, or even errors, requiring human evaluation. This process can be prone to biases and significant uncertainties. To address these challenges, this study proposes a novel framework, <strong>F</strong>eature <strong>E</strong>ngineering for Nuclear Reaction <strong>C</strong>ross <strong>S</strong>ection <strong>G</strong>eneration using <strong>M</strong>achine <strong>L</strong>earning (FECSG-ML), which employs machine learning methods to generate nuclear cross sections data, serving as a substitute for evaluating nuclear databases. Given the limited size of the EXFOR database, training a model solely on EXFOR data could lead to underfitting. Therefore, the proposed approach utilizes transfer learning, initially pre-training the model using the ENDF/B-VIII.0 dataset and subsequently fine-tuning it with the EXFOR database. This approach ensures high accuracy where real data are available and enables the learning of characteristics of the evaluation dataset where real data are lacking. Moreover, machine learning techniques are employed to transform discrete nuclear cross sections data into a continuous format, accommodating various isotopes and predicting multiple sets of cross sections data. The framework integrates various machine learning methods and utilizes ensemble learning for result optimization. Experimental results demonstrate that the regression curves generated by the FECSG-ML model align well with EXFOR data points, outperforming the ENDF/B-VIII.0 evaluation database. Furthermore, the nuclear cross sections data generated by the FECSG-ML model are applied in the OpenMC Monte Carlo simulation program to simulate pin fuel assemblies and CANDU reactors, confirming the effectiveness of the model. This study underscores the importance of accurate and reliable nuclear cross sections data and provides a method for substituting the evaluation of nuclear databases.</div></div>","PeriodicalId":8096,"journal":{"name":"Applied Radiation and Isotopes","volume":"214 ","pages":"Article 111545"},"PeriodicalIF":1.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142456674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Development of analytical equations for void fraction in biphasic systems using gamma radiation and MCNP6 code 利用伽马辐射和 MCNP6 代码开发双相系统中空隙率的分析方程
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-10 DOI: 10.1016/j.apradiso.2024.111549
W.L. Salgado, R.S.F. Dam, C.M. Salgado
This study presents the development of mathematical equations for calculating void fractions in pipes using gamma densitometry. A traditional measurement setup, consisting of a137Cs point source and a NaI(Tl) scintillator detector, was simulated using the Monte Carlo method via the MCNP6 code. To validate the proposed equations, water-gas biphasic models were simulated in tubes with square and cylindrical cross-sections, varying diameters, and radiation sources (241Am, 137Cs, 60Co) through gamma-ray transmission. A comparative analysis with existing equations from the literature was conducted. The void fractions, determined from the transmission photopeak, were in close agreement with the actual values. The proposed equations demonstrated a maximum mean relative error of 0.21% for cylindrical tubes in stratified and annular flow regimes.
本研究提出了利用伽马密度计计算管道中空隙率的数学方程。通过 MCNP6 代码,使用蒙特卡罗方法模拟了由 137Cs 点源和 NaI(Tl) 闪烁探测器组成的传统测量装置。为了验证所提出的方程,在横截面为方形和圆柱形、直径不等的管子中,通过伽马射线透射模拟了水气双相模型和辐射源(241Am、137Cs、60Co)。与文献中的现有方程进行了比较分析。通过透射光谱测定的空隙率与实际值非常接近。对于分层和环流状态下的圆柱形管道,所提出的方程显示的最大平均相对误差为 0.21%。
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引用次数: 0
Performance study of GaN-based betavoltaic nuclear batteries with 3D interfaces 具有三维界面的氮化镓基光伏核电池性能研究
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-10 DOI: 10.1016/j.apradiso.2024.111543
Tao Gao, Ao Zhang, Li Chen, Jingmin Li, Chong Liu
This study presents a design of a 3D interface simulation model featuring an inverted pyramid structure. Our objective is to forecast the performance of GaN-based betavoltaic nuclear batteries with the PN junction 3D interface structures comparing a practical machining process. Initially, we computed the electron-hole pairs (EHPs) generation rate in GaN materials irradiated by both 63Ni and 147Pm sources using Geant4. Furthermore, we employed COMSOL Multiphysics, a finite element analysis software, to simulate the EHPs transport phenomena within the battery and investigate the influence of structural parameters on the output performance. Despite maintaining thicknesses of the P- and N-regions and consistent doping concentrations (Hp-GaN, Hn-GaN, Na, and Nd) as constants, the simulation results revealed notable disparities in the short-circuit current density (Jsc), open-circuit voltage (Voc), and maximum output power density (Pmax) among batteries irradiated with various radioactive sources. Subsequently, we investigated the output performance of the nuclear battery by altering parameters such as the number of inverted pyramid structures, junction depth, and type of radioactive source. Our investigation revealed that selecting 63Ni as the radioactive source, with Na at 1017 cm−3, Nd at 1014 cm−3, a junction depth of 0.1 μm, and inverted pyramid structures of 25, resulted in the following battery performance parameters: a short-circuit current density (Jsc) of 0.648 μA/cm2, an open-circuit voltage (Voc) of 2.3481 V, and a maximum output power density (Pmax) of 1.2949 μW/cm2. Substituting the radioactive source with 147Pm, the average short-circuit current density, Jsc, increased to 56.865 μA/cm2, and the maximum output power density, Pmax, increased to 94.975 μW/cm2, It's a significant enhancement in output performance.
本研究介绍了以倒金字塔结构为特征的三维界面仿真模型的设计。我们的目标是预测采用 PN 结三维界面结构的氮化镓基光伏核电池的性能,并对实际加工工艺进行比较。首先,我们使用 Geant4 计算了氮化镓材料在 63Ni 和 147Pm 源辐照下的电子-空穴对(EHPs)生成率。此外,我们还利用有限元分析软件 COMSOL Multiphysics 模拟了电池内的电子空穴对传输现象,并研究了结构参数对输出性能的影响。尽管保持了 P 区和 N 区的厚度以及一致的掺杂浓度(Hp-GaN、Hn-GaN、Na 和 Nd)作为常数,但模拟结果显示,使用各种放射源辐照的电池在短路电流密度 (Jsc)、开路电压 (Voc) 和最大输出功率密度 (Pmax) 方面存在显著差异。随后,我们通过改变倒金字塔结构数量、结深度和放射源类型等参数,研究了核电池的输出性能。研究结果表明,选择 63Ni 作为放射源,Na 为 1017 cm-3,Nd 为 1014 cm-3,结深为 0.1 μm,倒金字塔结构数为 25,可获得以下电池性能参数:短路电流密度 (Jsc) 为 0.648 μA/cm2,开路电压 (Voc) 为 2.3481 V,最大输出功率密度 (Pmax) 为 1.2949 μW/cm2。用 147Pm 代替放射源后,平均短路电流密度 Jsc 增加到 56.865 μA/cm2,最大输出功率密度 Pmax 增加到 94.975 μW/cm2,输出性能显著提高。
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引用次数: 0
Structural, vibrational, and luminescent properties of pure and Ce-doped magnesium lithium aluminoborate glass 纯铝硼酸镁和掺杂铈的铝硼酸镁玻璃的结构、振动和发光特性
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-10 DOI: 10.1016/j.apradiso.2024.111548
Allan W.S. Santos , Iury S. Silveira , Luiz C. Meira-Belo , Andrea L.F. Novais , Divanizia N. Souza
The objective of this work was to study the properties of new vitreous samples of pure BAlMgLi and Ce-doped BAlMgLi produced by the melt-quenching method. The structural and vibrational characteristics of the samples were analyzed using x-ray diffraction (XRD), vibrational Raman spectroscopy, and vibrational Fourier transform infrared spectroscopy (FTIR). Optically stimulated luminescence (OSL) and thermoluminescence (TL) techniques were also used to identify whether the samples showed a response to ionizing radiation. XRD analyses confirmed the predominance of the amorphous phase of the samples. The Raman spectra revealed that the atomic bonds present in the material matrix are of the pyroborate and metaborate type, enabling stretching vibrations in isolated BO4 and/or Al–O or Al–O–B units. The band at approximately 810 cm−1 is characteristic of the formation of the boroxol ring, indicating that the presence of other elements in the matrix does not affect its glassy characteristics. The FTIR analyses reinforce the results found by Raman spectroscopy, because bands characteristic of low hygroscopic glasses were observed, due to the conversion of BO3 units into BO4 in triborate, tetraborate, and pentaborate groups. This conversion is due to dopant entrainment, which contributes to the high optical transparency of the samples. Their OSL and TL signals were reproducible with intensities dependent on the dopant concentration and radiation dose, with the most intense emissions resulting from 0.5% Ce concentrations.
这项工作的目的是研究用熔淬法生产的纯硼铝镁锂(BAlMgLi)和掺杂铈的硼铝镁锂(BAlMgLi)新玻璃体样品的特性。采用 X 射线衍射 (XRD)、振动拉曼光谱和振动傅立叶变换红外光谱 (FTIR) 分析了样品的结构和振动特性。此外,还使用了光激发发光(OSL)和热发光(TL)技术来确定样品是否对电离辐射有反应。XRD 分析证实了样品以无定形相为主。拉曼光谱显示,材料基体中的原子键属于焦硼酸盐和偏硼酸盐类型,可在孤立的 BO4 和/或 Al-O 或 Al-O-B 单元中产生伸缩振动。约 810 cm-1 处的波段是硼氧醇环形成的特征,表明基体中其他元素的存在不会影响其玻璃特性。傅立叶变换红外光谱分析证实了拉曼光谱的结果,因为观察到了低吸湿性玻璃的特征谱带,这是由于在三硼酸盐、四硼酸盐和五硼酸盐基团中,BO3 单元转化成了 BO4。这种转化是由于掺杂夹带造成的,这也是样品具有高光学透明度的原因之一。这些样品的 OSL 和 TL 信号具有可重复性,其强度取决于掺杂剂浓度和辐射剂量,其中 0.5% Ce 浓度的样品辐射最强。
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引用次数: 0
An analytical approach to optimization of isotope production by bremsstrahlung radiation 利用轫致辐射优化同位素生产的分析方法
IF 1.6 3区 工程技术 Q3 CHEMISTRY, INORGANIC & NUCLEAR Pub Date : 2024-10-09 DOI: 10.1016/j.apradiso.2024.111547
V.L. Uvarov, A.A. Zakharchenko, N.P. Dikiy, YuV. Lyashko, R.I. Pomatsalyuk
Based on analytical description of isotope production by bremsstrahlung (X-ray) radiation, an algorithm is proposed for calculating the optimal dimensions of a cylindrical target of given mass positioned at a given distance from a bremsstrahlung converter to ensure the maximum yield of the isotope product. The expressions are derived for the total activity and its distribution along the target axis. A technique of γ-spectrometric measuring the activity of a thick production target is proposed. The novel approach is validated by the 100Mo(γ,n)99Mo reaction induced in a natural molybdenum target by mass in the range 10–100g with the X-ray photons at an end-point energy of 40 MeV. The analytical predictions are in good agreement with the results of Monte-Carlo simulations and experiment.
根据对轫致辐射(X 射线)产生同位素的分析描述,提出了一种算法,用于计算与轫致辐射转换器保持一定距离的给定质量圆柱形靶的最佳尺寸,以确保同位素产品的最大产量。推导出了总活度及其沿靶轴分布的表达式。提出了一种γ谱测量厚生产靶活度的技术。在质量为 10-100g 的天然钼靶中诱发的 100Mo(γ,n)99Mo反应验证了这种新方法,X 射线光子的端点能量为 40 MeV。分析预测结果与蒙特卡洛模拟和实验结果十分吻合。
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Applied Radiation and Isotopes
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