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JNST Article Awards

JSNT-awards_

We are honored to present the Journal of Nuclear Science and Technology (JNST) Most Cited and Popular Article Awards 2021, to the following 10 respected papers. These two awards are presented to the first author of the paper published in our journal that has contributed to raising the quality and enhanced the specialty of the journal in the Nuclear Science and Technology field. This award is presented by the journal Editorial Board, sponsored by our publishing partner, Taylor & Francis. The top winners of each award will receive a monetary prize.

All award-winning papers are available free to view until 30 June 2022 via the Taylor & Francis landing page.

Detailed descriptions of the two awards are as follows:
(1) the JNST Most Cited Article Award
Established in the year 2012, given to the papers that are frequently cited directly by other research papers during the first 60 months of its publication, which was the year 2015 for this year's nomination.

(2) the JNST Most Popular Article Award
Newly established in the year 2013. This award is given to the papers that are frequently downloaded by the readers of our journal. Articles published in the year 2020(Vol. 57) was the candidate for this year's nomination. The impact on free or Open Access articles has been taken into consideration during the award evaluation process.

JNST Most Cited Article Award 2021 :

  • Solution of the BEAVRS benchmark using the nTRACER direct whole core calculation code
    Min Ryu, Yeon Sang Jung, Hyun Ho Cho & Han Gyu Joo
    Comment from the author: "It is quite a surprise and honor that we receive a JNST most cited article award. Our paper was presented in the PHYSOR 2014 conference which was one of the biennial prestigious conferences on reactor physics. The conference was held in Kyoto and our paper was selected as one of the best papers to be published on JNST so that it appeared on a 2015 issue of JNST. The paper presented the world first direct whole core calculation results for the two cycles of the BEAVRS real core benchmark problem. Since it contains very thorough and detailed calculation based on the world leading practical numerical reactor code, nTRACER, many subsequent researchers in the field of high-fidelity multiphysics simulation cited our BEAVRS results reported in this paper. The number of citations of this is 57 for the past 7 years which may be considered not very high in other fields. But in the reactor physics area, it is a noticeable number. I think this high citation was possible because this was a pioneering work. This prestigious award gives us new motivation to produce top-notch papers. I appreciate this distinguished award system of AESJ because it would stimulate the researchers in the nuclear science and technology to perform creative work and to produce top-notch papers. "
  • Effects of alloying elements (Sn, Nb, Cr, and Mo) on the microstructure and mechanical properties of zirconium alloys
    Huilong Yang, Jingjie Shen, Yoshitaka Matsukawa, Yuhki Satoh, Sho Kano, Zishou Zhao, Yanfen Li, Feng Li & Hiroaki Abe
    Comment from the author: "It is a great honor for me, Huilong Yang from Nuclear Professional School, The University of Tokyo, to receive this “Journal of Nuclear Science and Technology (JNST) Most Cited Article Awards 2021”. Our article entitled “Effects of alloying elements (Sn, Nb, Cr, and Mo) on the microstructure and mechanical properties of zirconium alloys” is dedicated to revealing the alloying effects of the common elements in zirconium (Zr) from the perspective of microstructural evolution and mechanical property change. The recrystallization behaviors, crystallographic texture, grain structure, tensile properties were investigated and compared in dilute binary Zr-Sn/Nb/Cr/Mo alloys prepared under the same thermos-mechanical history. The strengthening mechanism for each binary alloy system is further quantified based on the microstructural characteristics. Concerning the Zr alloys are extensively applied as nuclear fuel cladding in light water reactors, the insights obtained in this study will help to reach a better understanding of the in-reactor degradation behaviors of fuel claddings during long-term operation, and the development of advanced and/or accident tolerant fuel claddings, which would absolutely help to enhance the safety margin of nuclear energy. I would like to thank the members of the Abe-laboratory at the Institute for Materials Research, Tohoku University for helping to develop the ideas and perform most of the highlighted work. In particular, Prof. Hiroaki Abe (The University of Tokyo), Prof. Kano (The University of Tokyo), Prof. Satoh (Hiroshima Institute of Technology), and Prof. Matsukawa (Kumamoto University) helped greatly to provide financial and technical support, and fruitful discussions not only for this study but continuously during the past ten years."
  • Rapid quantification of radiocesium dissolved in water by using nonwoven fabric cartridge filters impregnated with potassium zinc ferrocyanide
    Tetsuo Yasutaka, Hideki Tsuji, Yoshihiko Kondo, Yasukazu Suzuki, Akira Takahashi & Tohru Kawamoto
    Comment from the author: "It is a great honor to receive the JNST Most Cited Paper Award 2021. This paper was published in 2015, and it is gratifying to see that the number of citations has increased. This paper presented a cartridge filter incorporating a nonwoven fabric impregnated with potassium zinc ferrocyanide to effectively concentrate and quantify cesium dissolved in water. Using this method, the pre-concentration time of radiocesium in 20 L of fresh water can be reduced to just 8 minutes. We are very pleased that the method in this paper have been put into practical use and are used by many organisations in the monitoring of radiocesium in fresh water.The authors thank the institutions and experts for their cooperation and inputs to the research. In addition, this study was supported financially by the Japan Science and Technology Agency through the Development of Systems and Technology for Advanced Measurement and Analysis program, JSPS KAKENHI [grant number 26241023]; Ministry of Agriculture, Forestry and Fisheries through the Scheme to Revitalize Agriculture and Fisheries in Disaster Area through Deploying Highly Advanced Technology. "
  • Study of radiation dose reduction of buildings of different sizes and materials
    Takuya Furuta & Fumiaki Takahashi
    Comment from the author: "It is our great honor and pleasure to receive this award. The article studied the dependence of the radiation dose reduction of buildings on sizes and materials by numerical analyses using the Monte Carlo code PHITS. This study was conducted following to our previous report on the radiation dose reduction factors of several typical buildings in Japan, which concluded the size of the building is an important factor as well as the materials for establishing the dose reduction of buildings. Dose rates by gamma-rays from radioactive cesium on ground surface were computed inside buildings with varying the sizes of the floor area. The results showed that the dose rates inside the buildings linearly decreased with increasing floor area on a logarithmic scale, and the distance from outer walls is a determinant factor for the dose rate at each position inside the building. The obtained tendency was ensured by comparing to the results of the previous report on typical buildings in Japan. The data is useful to estimate the dose level and consider measures for individual residents in area with radioactive contamination. Finally, we thank the great support and valuable comments from architectural experts of the Shimizu Corporation and many researchers in Japan Atomic Energy Agency to conduct this study."

JNST Most Popular Article Award 2021:

  • Remote detection of radioactive hotspot using a Compton camera mounted on a moving multi-copter drone above a contaminated area in Fukushima
    Yuki Sato, Shingo Ozawa, Yuta Terasaka, Kojiro Minemoto, Satoshi Tamura, Kazutoshi Shingu, Makoto Nemoto & Tatsuo Torii
    Comment from the author: "We are very honored to receive JNST Most Popular Article Award 2021. By combining a Compton camera and a multicopter drone, we have succeeded in safely visualizing radioactive hot spots scattered throughout a large area in the difficult-to-return zone in Fukushima in a shorter time than with conventional point-by-point measurements using a survey meter. Using IMU (Inertial Measurement Unit) and GNSS (Global Navigation Satellite System) sensors mounted on the drone, the Compton camera's self-position and posture information during flight is measured sequentially, enabling imaging of hot spots while moving. In addition, a 3D topographic model of the entire measurement area is acquired using 3D-LiDAR (Light Detection and Ranging) mounted on the drone, and images of hot spots acquired with the Compton camera are projected onto this model, making it possible to identify the location and distribution of hot spots in 3D. We believe that this technology, which combines a Compton camera and a moving drone, can contribute to remote radiation monitoring in various radiation environments. Finally, we would like to express our deepest gratitude to all the researchers and engineers who supported the development and demonstration of this system. This research was supported by a grant-in-aid under the Fukushima innovation coast initiative. "
  • Atmospheric-dispersion database system that can immediately provide calculation results for various source term and meteorological conditions
    Hiroaki Terada, Haruyasu Nagai, Atsunori Tanaka, Katsunori Tsuduki & Masanao Kadowaki
    Comment from the author:"It is our great honor to receive the JNST Most Popular Article Award 2021. In the awarded article, we reported the development and application of the atmospheric-dispersion database system “WSPEEDI-DB” that can respond to various needs for dispersion prediction in a nuclear emergency and provide useful information for emergency-response planning. By the system, it is possible to immediately obtain the results of atmospheric-dispersion prediction by applying the source term to the database of dispersion-calculation results that was prepared in advance without specifying source term. The analysis method of the system was applied to estimate source term of the Fukushima Daiichi Nuclear Power Station (1F) accident. The source term and dispersion simulation were optimized by objective analysis based on Bayesian inference using various environmental monitoring data. The optimized simulation results were used for dose assessment of evacuees from the 1F accident. By preparing a database prepared with past long-term meteorological data, the system can provide dispersion calculation results for various source term and meteorological conditions. The database can be used for pre-accident planning in nuclear emergency preparedness, such as optimization of a monitoring plan, drills by creating simulated monitoring data, and understanding of events to be supposed in considering emergency countermeasures. As an example, the system was applied to the assessment of the deployment of monitoring posts around the Shimane nuclear power station by analyzing the past 1-year database. Finally, we would like to appreciate all the staff of the research group for environmental science, Japan Atomic Energy Agency for supporting this research. We also thank the reviewers for their valuable comments."
  • Measurement of displacement cross-sections of copper and iron for proton with kinetic energies in the range 0.4 – 3 GeV
    Hiroki Matsuda, Shin-Ichiro Meigo, Yosuke Iwamoto, Makoto Yoshida, Shoichi Hasegawa, Fujio Maekawa, Hiroki Iwamoto, Tatsushi Nakamoto, Taku Ishida & Shunsuke Makimura
    Comment from the author:"It's our great pleasure to receive JNST Most Popular Article Award 2021. Our paper focused on the first-ever measurement of the displacement cross-sections of the copper and iron in the range 0.4 - 3 GeV. Displacement per atom (dpa) is widely employed as a damage index, calculated based on the displacement cross-section obtained using a calculation model. We conducted experiments at the Japan Proton Accelerator Research Complex (J-PARC) to obtain the displacement cross-section. The results were compared with model calculations. It can be concluded that the athermal-recombination-corrected dpa (arc-dpa) model must be employed for the dpa calculation for the damage estimation of copper and iron. Finally, we would like to thank all the RCS staff of J-PARC for the beam turning. We also thank Emeritus Prof. T. Yoshiie, Prof. A. Kinomura, and Assistant Prof. A. Yabuuchi from Kyoto University for the preparation of the samples. The present study includes the results of "Measurement of displacement cross-section at J-PARC for structural material utilized at ADS" entrusted to JAEA by the Ministry of Education, Culture, Sports, Science, and Technology of Japan (MEXT)."
  • Measurements of thermal-neutron capture cross-section of Cesium-135 by applying mass spectrometry
    Shoji Nakamura, Yuji Shibahara, Atsushi Kimura, Osamu Iwamoto, Akihiro Uehara & Toshiyuki Fujii
    Comment from the author: "It’s a great honor to receive such the award. The article awarded this time is related to the cross-section measurement of 135Cs, one of long-lived fission products. Since it was difficult to obtain a 135Cs sample, we used 135Cs contained as an impurity in a standard 137Cs solution. Mass spectrometry was performed on a 137Cs sample with only a few Bq, and the isotope ratio of 135Cs and 137Cs was successfully obtained with high accuracy. We suspect that the readers were interested in this point. We utilized normally unfavorable impurities and accurately analyzed the isotope ratio of the sample by Mass spectrometry, and then we succeeded in deriving the thermal-neutron capture cross section and resonance integral of 135Cs by the neutron activation method. We will continue to our best to produce results and articles that will be of interest to other researchers. Finally, we would like to take this opportunity to appreciate all the staff of the Institute for Integrated Radiation and Nuclear Science, Kyoto University."
  • Neutron emission spectrum from gold excited with 16.6 MeV linearly polarized monoenergetic photons
    Yoichi Kirihara, Hiroshi Nakashima, Toshiya Sanami, Yoshihito Namito, Toshiro Itoga, Shuji Miyamoto, Akinori Takemoto, Masashi Yamaguchi & Yoshihiro Asano
    Comment from the author: "It is a great honor to receive the JNST Most Popular Article Awards 2021. This experimental study showed the polarization dependence of neutron spectra from photonuclear reactions by injecting a beam of quasi-monoenergetic, linearly polarized photon at the energy of 16.6MeV onto an Au target and measuring the absolute energy spectrum. It was found that the neutron energy spectrum comprises two components one (< 4 MeV) shows an evaporation-like spectrum which has no significant angular dependence, but the other component (≧ 4 MeV) shows a bump like shape whose angular dependence follows the relation [a+b cos(2Θ)] where Θ is the angle between the polarization of the incident photons and the detector directions. This data is useful for the development and validation of photonuclear reaction models used in particle transport simulations. In addition, the apparatus, data analysis, and parameterization described in this article will be useful for future data acquisition. Finally, we would like to take this opportunity to appreciate all the staff of the NewSUBARU synchrotron radiation research facility."
  • Decomposition behavior of gaseous ruthenium tetroxide under atmospheric conditions assuming evaporation to dryness accident of high-level liquid waste
    Naoki Yoshida, Takuya Ono, Ryoichiro Yoshida, Yuki Amano & Hitoshi Abe
    Comment from the author: "It is a great honor to be a recipient of the "JNST Most Popular Article Award 2021" and I am humbled by this recognition. The purpose of this article is to understand the behavior of gaseous Ru in the boiling and drying accident of high-level liquid waste, which is one of the severe accidents at PUREX reprocessing plants. In this study, we experimentally evaluated the decomposition and chemical change behavior of the gaseous ruthenium tetroxide (RuO4) under the various atmospheric conditions: temperature and composition of coexisting gasses. As a result, the behavior of the gaseous RuO4 was diverse depending on atmospheric conditions. The RuO4 decomposed in dry air and water vapor, whereas it retained its chemical form when nitric acid vapor was added. We believe that these results are important in predicting Ru migration behavior in the boiling and drying accident. While this work was limited to qualitative research, our goal is to conduct quantitative research and establish an accident consequence assessment model. I would like to thank all the staff of the fuel cycle safety research group of Japan Atomic Energy Agency for helping to perform this work. We also thank the reviewers for their insightful comments and the staff of the Nuclear Regulation Authority who provided helpful advice."