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Optimization of Advanced Nuclear Technologies and Application in the Energy Industry

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: 30 August 2025 | Viewed by 1183

Special Issue Editor

Prof. Dr. Juntao Liu

E-Mail Website
Guest Editor
School of Nuclear Science and Technology, Lanzhou, Lanzhou, China
Interests: nuclear detection and isotope technology applications in industrial fields, including oil, natural gas hydrates, coal, and medicine; development of new nuclear logging methods, instrument design, and advanced data processing techniques; real-time numerical simulation of nuclear logging while drilling, with applications in geological steering and formation parameter inversion; integrating artificial intelligence algorithms in nuclear technology and earth sciences for enhanced data analysis and interpretation; cosmic ray detection and imaging technology using muons and fast neutrons for subsurface mapping and profiling; elemental content analysis of drilling cores, coal samples, and other specimens using neutron activation analysis (NAA) and X-ray fluorescence (XRF), combined with advanced data processing methods

Special Issue Information

Dear Colleagues,

This Special Issue focuses on optimizing and applying advanced nuclear technologies in the energy industry, encompassing both power generation and industrial applications. It addresses crucial developments in nuclear technology within global energy transition and carbon neutrality goals.

This Special Issue welcomes research papers addressing:

  • Advanced nuclear reactor technologies, including third-generation pressurized water reactors and small modular reactors;
  • Fourth-generation nuclear systems (sodium-cooled fast reactors, ultra-high temperature gas-cooled reactors, and molten salt reactors);
  • Nuclear fusion technology developments and applications;
  • Nuclear technology applications in the energy industry:
    • Uranium exploration and resource evaluation;
    • Radiometric survey techniques and instrumentation;
    • Geophysical logging for uranium deposits;
    • Nuclear well logging and formation evaluation;
    • Nuclear gauging and process control;
    • Radiation detection and measurement;
    • Radioisotope applications in industrial processes.
  • Uranium mining and processing:
    • In situ leaching technology;
    • Environmental monitoring and protection;
    • Resource recovery and utilization;
    • Mining process optimization.
  • Comprehensive utilization of nuclear energy:
    • Power generation and grid integration;
    • District heating and industrial steam supply;
    • Hydrogen production and synthetic fuels;
    • Seawater desalination.
  • Digital transformation in the nuclear industry:
    • Artificial intelligence and machine learning applications;
    • Big data analytics and cloud computing;
    • Smart operation management and monitoring.
  • Advanced nuclear fuel cycle optimization and safety enhancement;
  • Integration of nuclear technologies in sustainable energy systems;
  • Economic and environmental assessment of nuclear applications.

We invite original research articles, comprehensive reviews, and technical notes that contribute to advancing nuclear technology optimization and expanding its applications in the energy industry. Papers should emphasize practical implications, technological innovation, and sustainable development perspectives.

This Special Issue aims to provide a platform for researchers, engineers, and industry professionals to share their latest findings and insights, promoting the development and application of advanced nuclear technologies across the energy sector.

Prof. Dr. Juntao Liu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • advanced nuclear technology
  • uranium exploration
  • nuclear well-logging
  • comprehensive nuclear energy utilization
  • intelligent nuclear power plant
  • radiometric measurement
  • nuclear fuel cycle
  • modular reactor
  • nuclear industry digitalization
  • energy industry applications

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

12 pages, 1867 KiB  
Article
A Novel Uranium Quantification Method Based on Natural γ-Ray Total Logging Corrected by Prompt Neutron Time Spectrum
by Yan Zhang, Jinyu Deng, Bin Tang, Haitao Wang, Rui Chen, Xiongjie Zhang, Zhifeng Liu, Renbo Wang, Shumin Zhou and Jinhui Qu
Appl. Sci. 2025, 15(13), 7219; https://doi.org/10.3390/app15137219 - 26 Jun 2025
Viewed by 261
Abstract
The drilling core sampling and chemical analysis method for the quantitative determination of solid mineral deposits has several drawbacks, including a low core drilling efficiency, a high core sampling cost, and a long chemical analysis cycle. In current uranium quantification practices, advanced techniques [...] Read more.
The drilling core sampling and chemical analysis method for the quantitative determination of solid mineral deposits has several drawbacks, including a low core drilling efficiency, a high core sampling cost, and a long chemical analysis cycle. In current uranium quantification practices, advanced techniques have been developed to preliminarily determine the formation of uranium content based on the interpretation results of natural γ-ray total logging. However, such methods still require supplementary core chemical analysis to derive the uranium–radium–radon balance coefficient, which is then used for equilibrium correction to obtain the true uranium content within the uranium-bearing layer. Furthermore, conventional prompt neutron time spectrum logging is constrained by low count rates, resulting in slow logging speeds that fail to meet the demands of practical engineering applications. To address this, this study proposes a uranium quantification method that corrects the natural γ-ray total logging using prompt neutron time spectrum logging. Additionally, a calibration parameter determination method necessary for quantitative interpretation is constructed. Experimental results from standardized model wells indicate that, in sandstone-type uranium deposits, the absolute error of uranium content is within ±0.002%eU, and the relative error is within ±2.5%. These findings validate the feasibility of deriving the uranium–radium–radon balance coefficient without relying on core chemical analysis. Compared with the prompt neutron time spectrum logging method, the proposed approach significantly improves the logging speed while producing results that are essentially consistent with those of natural γ-ray total logging. It provides an efficient and accurate solution for uranium quantitative interpretation. Full article
(This article belongs to the Special Issue Optimization of Advanced Nuclear Technologies and Application in the Energy Industry)
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13 pages, 3137 KiB  
Article
Studies and Rejection of Intercrystal Crosstalk on FPGA in a High-Energy Photon-Counting System
by Jiahao Chang, Huaxia Zhang, Shibo Jiang, Zhifang Wu and Shuo Xu
Appl. Sci. 2025, 15(11), 6050; https://doi.org/10.3390/app15116050 - 28 May 2025
Viewed by 365
Abstract
Intercrystal scatter reduces system sensitivity and spatial resolution, a phenomenon that has been extensively studied in positron emission tomography (PET) systems. However, the issue is even more significant in high-energy systems. The purpose of this study is to propose a practical crosstalk rejection [...] Read more.
Intercrystal scatter reduces system sensitivity and spatial resolution, a phenomenon that has been extensively studied in positron emission tomography (PET) systems. However, the issue is even more significant in high-energy systems. The purpose of this study is to propose a practical crosstalk rejection technique and demonstrate its applicability in high-energy photon-counting systems. The effect of inter-crystal scattering interactions between 60Co γ photons and lutetium yttrium oxyorthosilicate (LYSO) scintillator crystals is investigated through Monte Carlo simulations conducted using the Geant4 toolkit. To suppress the crosstalk phenomenon, a field-programmable gate array (FPGA)-based algorithm is proposed to suppress inter-crystal scattering events, characterized by a time window of 5 nanoseconds and detector window sizes of one or two. The 250 mm Fe steel penetration model is used to evaluate the proposed algorithm, showing improved radiation image quality, particularly with a detector window size of two, which performs better under low-count-rate conditions. Laboratory testing indicates that the proposed algorithm can enhance steel penetration (SP) by 60–70 mm of Fe when compared to the existing current integration system under the same settings. The suggested method has been proven effective in producing higher-quality images and demonstrates good adaptability by adapting the detector window width according to different system count rates. Full article
(This article belongs to the Special Issue Optimization of Advanced Nuclear Technologies and Application in the Energy Industry)
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