start-ver=1.4
cd-journal=joma
no-vol=2180
cd-vols=
no-issue=
article-no=
start-page=020028
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20191210
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Consideration to Display Operator Support Information to Human Operators under High Mental Pressure
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= Operator support systems are extensively studied and developed to support human operators for their activities in especially an abnormal condition of a nuclear power plant. By the advancement of computer technology and artificial intelligence, an operator support system can provide detailed support information based on detailed models and utilizing detailed simulation of plant dynamics and/or complicated inference algorithms. However, human operators may not understand the detailed support information under high mental pressure in an abnormal plant condition. In such a case, it is important how to provide essential and understandable support information. This paper deals with a technique to simplify functional models in order to display operator support information that is generated based on detailed functional models. This paper defines eight cognitive states of human operators from the viewpoint of cognitive abilities of human. In addition, three ways to simplify functional models are identified.
en-copyright=
kn-copyright=

en-aut-name=GofukuAkio
en-aut-sei=Gofuku
en-aut-mei=Akio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=operator support system
kn-keyword=operator support system
en-keyword= information display
kn-keyword= information display
en-keyword=model simplification
kn-keyword=model simplification
en-keyword=cognitive state
kn-keyword=cognitive state
END

start-ver=1.4
cd-journal=joma
no-vol=10
cd-vols=
no-issue=1
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=202001
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Laser monitoring of dynamic behavior of magnetic nanoparticles in magnetic field gradient
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Manipulation of magnetic nanoparticles (MNP) by an external magnetic field has been widely studied in the fields of biotechnology and medicine for collecting and/or reacting biomaterials in the solutions. Here, dynamic behaviors of MNP in solution under changing gradient magnetic field were investigated using our newly developed laser transmission system (LTS) with a variable magnetic field manipulator. The manipulator consists of a moving permanent magnet placed beside the optical cell filled with MNP solution. A laser beam was focused on the cell and the transmitted laser beam was detected by a silicon photodiode, so that the localized concentration of the MNP at the focused area could be evaluated by the intensity of transmitted laser beam. In this study, the LTS was applied to evaluate dynamic behaviors of MNP in serum solution. Dispersion and aggregation of MNP in the solution were evaluated. While time evolution of dispersion depends on the serum concentration, the behavior during aggregation by the magnetic field was independent of the serum concentration. A series of measurements for zeta-potentials, distributions of particle size, and magnetization distributions was carried out to understand this difference in the behavior. The results indicated that a Brownian motion was main force to distribute the MNP in the solution; on the other hand, the magnetic force to the MNP mainly affected the behavior during aggregation of the MNP in the solution.
en-copyright=
kn-copyright=

en-aut-name=TsunashimaKenta
en-aut-sei=Tsunashima
en-aut-mei=Kenta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=JinnoKatsuya
en-aut-sei=Jinno
en-aut-mei=Katsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=HiramatsuBunta
en-aut-sei=Hiramatsu
en-aut-mei=Bunta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FujimotoKayo
en-aut-sei=Fujimoto
en-aut-mei=Kayo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SakaiKenji
en-aut-sei=Sakai
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KiwaToshihiko
en-aut-sei=Kiwa
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=SaariMohd Mawardi
en-aut-sei=Saari
en-aut-mei=Mohd Mawardi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=TsukadaKeiji
en-aut-sei=Tsukada
en-aut-mei=Keiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=7
en-affil=Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang
kn-affil=

affil-num=8
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=154
cd-vols=
no-issue=9
article-no=
start-page=094502
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20210301
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Formation of hot ice caused by carbon nanobrushes. II. Dependency on the radius of nanotubes
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Stable crystalline structures of confined water can be different from bulk ice. In Paper I [T. Yagasaki et al., J. Chem. Phys. 151, 064702 (2019)] of this study, it was shown, using molecular dynamics (MD) simulations, that a zeolite-like ice structure forms in nanobrushes consisting of (6,6) carbon nanotubes (CNTs) when the CNTs are located in a triangle arrangement. The melting temperature of the zeolite-like ice structure is much higher than the melting temperature of ice Ih when the distance between the surfaces of CNTs is ∼0.94 nm, which is the best spacing for the bilayer structure of water. In this paper, we perform MD simulations of nanobrushes of CNTs that are different from (6,6) CNTs in radius. Several new porous ice structures form spontaneously in the MD simulations. A stable porous ice forms when the radius of its cavities matches the radius of the CNTs well. All cylindrical porous ice structures found in this study can be decomposed into a small number of structural blocks. We provide a new protocol to classify cylindrical porous ice crystals on the basis of this decomposition.
en-copyright=
kn-copyright=

en-aut-name=MatsumotoMasakazu
en-aut-sei=Matsumoto
en-aut-mei=Masakazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YagasakiTakuma
en-aut-sei=Yagasaki
en-aut-mei=Takuma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=TanakaHideki
en-aut-sei=Tanaka
en-aut-mei=Hideki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=

affil-num=2
en-affil=Division of Chemical Engineering, Graduate School of Engineering Science, Osaka University
kn-affil=

affil-num=3
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=7
article-no=
start-page=75224
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20210726
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Design and validation of microfluidic parameters of a microfluidic chip using fluid dynamics
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The internal fluidic parameters of microfluidic channels must be analyzed to solve fundamental microfluidic problems, including microscale transport problems involving thermal analysis, chemical reactivity, velocity, pressure drop, etc., for developing good-quality chemical and biological products. Therefore, the characterization and optimization of the interaction of chemical and biological solutions through microfluidic channels are vital for fluid flow design and engineering for quality assurance in microfluidic platforms. As the internal structures and kinetics of microfluidic channels are becoming increasingly complex, experiments involving optimal fluidic and transport designs are challenging to perform with high accuracy. However, highly integrated simulation tools can guide researchers without specialized computational fluid backgrounds to design numerical prototypes of highly integrated devices. In this study, a microfluidic chip with two inlet wells and one outlet well was fabricated from polydimethylsiloxane following which simulations were performed using an ANSYS Fluent tool influenced by computational fluid dynamics at a nearly identical scale. The pressure drop and velocity profiles of the interaction of two pH buffer solutions (pH 4 and 10) through the designed microfluidic chip were qualitatively estimated from experimental data analysis and validated with the simulation results obtained from the CFD-influenced ANSYS Fluent tool.
en-copyright=
kn-copyright=

en-aut-name=AhmedFeroz
en-aut-sei=Ahmed
en-aut-mei=Feroz
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YoshidaYuichi
en-aut-sei=Yoshida
en-aut-mei=Yuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=WangJin
en-aut-sei=Wang
en-aut-mei=Jin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SakaiKenji
en-aut-sei=Sakai
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KiwaToshihiko
en-aut-sei=Kiwa
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Department of Medical Bioengineering, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Department of Medical Bioengineering, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Department of Medical Bioengineering, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Department of Medical Bioengineering, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Department of Medical Bioengineering, Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=3
article-no=
start-page=035109
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20220303
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Magnetic thickness measurement for various iron steels using magnetic sensor and effect of electromagnetic characteristics
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The diagnosis and prevention of the deterioration of iron-steel infrastructure has become an important social issue in recent years. The thickness measurement technique (extremely low-frequency eddy current testing (ELECT)) using a magnetic sensor for detecting steel corrosion at extreme frequency ranges has been previously reported. Using the calibration curves based on the correlation between the phase of the detected magnetic signal and the plate thickness, the plate thickness reduction caused by corrosion can be estimated from the detected phase signal. Iron-steel materials have large changes in electromagnetic characteristics; therefore, the reference calibration data for each type of iron-steel are required for plate thickness estimation. In this study, the effect of electromagnetic characteristics on the magnetic thickness measurement was investigated to improve the thickness estimation. Four types of iron-steel plates (SS400, SM400A, SM490A, and SMA400AW) with thicknesses ranging from 1 mm to 18 mm were measured by ELECT, and the phase change at multiple frequencies of each plate were analyzed. The shift in the phase and linearity regions of the calibration curves for each type of steel plate was observed. To analyze this shift phenomenon, the electromagnetic characteristics (permeability mu and conductivity sigma) of each type of steel were measured. Compared with the permeability mu and conductivity sigma of each steel plate in the applied magnetic field strength range, the product (sigma mu) for various steel plates decreased in the following order: SM400 > SS400 >SMA400AW > SM490A. The product of mu and sigma is related to the skin depth, indicating the electromagnetic wave attenuation and eddy current phase shift in the material. Therefore, each shift in the calibration curve of each type of iron steel is explained by the changes in the parameters sigma and mu.
en-copyright=
kn-copyright=

en-aut-name=TsukadaKeiji
en-aut-sei=Tsukada
en-aut-mei=Keiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=HayashiMinoru
en-aut-sei=Hayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KawakamiTaisei
en-aut-sei=Kawakami
en-aut-mei=Taisei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=AdachiShoya
en-aut-sei=Adachi
en-aut-mei=Shoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SakaiKenji
en-aut-sei=Sakai
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KiwaToshihiko
en-aut-sei=Kiwa
en-aut-mei=Toshihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=IshikawaToshiyuki
en-aut-sei=Ishikawa
en-aut-mei=Toshiyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=SaariMohd Mawardi
en-aut-sei=Saari
en-aut-mei=Mohd Mawardi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=HoriKengo
en-aut-sei=Hori
en-aut-mei=Kengo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=HisazumiKazumasa
en-aut-sei=Hisazumi
en-aut-mei=Kazumasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

en-aut-name=TominagaTomonori
en-aut-sei=Tominaga
en-aut-mei=Tomonori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=7
en-affil=Faculty of Environmental and Urban Engineering Department of Civil, Environmental and Applied System Engineering, Kansai University
kn-affil=

affil-num=8
en-affil=Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang
kn-affil=

affil-num=9
en-affil=Nippon Steel Metal Products Co., Ltd.
kn-affil=

affil-num=10
en-affil=Nippon Steel Corp. 
kn-affil=

affil-num=11
en-affil=Nippon Steel Corp. 
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=156
cd-vols=
no-issue=22
article-no=
start-page=221104
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20220614
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Osmotic second virial coefficients for hydrophobic interactions as a function of solute size
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=To gain quantitative insight into how the overall strength of the hydrophobic interaction varies with the molecular size, we calculate osmotic second virial coefficients B for hydrophobic spherical molecules of different diameters σ in water based on molecular simulation with corrections to the finite-size and finite-concentration effects. It is shown that B (&lt;0) changes by two orders of magnitude greater as σ increases twofold and its solute-size dependence is best fit by a power law B ∝ σ<jats:sup> α</jats:sup> with the exponent α ≃ 6, which contrasts with the cubic power law that the second virial coefficients of gases obey. It is also found that values of B for the solutes in a nonpolar solvent are positive but they obey the same power law as in water. A thermodynamic identity for B derived earlier [K. Koga, V. Holten, and B. Widom, J. Phys. Chem. B 119, 13391 (2015)] indicates that if B is asymptotically proportional to a power of σ, the exponent α must be equal to or greater than 6. 
en-copyright=
kn-copyright=

en-aut-name=NaitoHidefumi
en-aut-sei=Naito
en-aut-mei=Hidefumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=OkamotoRyuichi
en-aut-sei=Okamoto
en-aut-mei=Ryuichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SumiTomonari
en-aut-sei=Sumi
en-aut-mei=Tomonari
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KogaKenichiro
en-aut-sei=Koga
en-aut-mei=Kenichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Chemistry, Faculty of Science, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Chemistry, Faculty of Science, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Chemistry, Faculty of Science, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Chemistry, Faculty of Science, Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=17
cd-vols=
no-issue=5
article-no=
start-page=054107
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231016
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Diamond quantum sensors in microfluidics technology
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Diamond quantum sensing is an emerging technology for probing multiple physico-chemical parameters in the nano- to micro-scale dimensions within diverse chemical and biological contexts. Integrating these sensors into microfluidic devices enables the precise quantification and analysis of small sample volumes in microscale channels. In this Perspective, we present recent advancements in the integration of diamond quantum sensors with microfluidic devices and explore their prospects with a focus on forthcoming technological developments.
en-copyright=
kn-copyright=

en-aut-name=FujiwaraMasazumi
en-aut-sei=Fujiwara
en-aut-mei=Masazumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

affil-num=1
en-affil=Department of Chemistry, Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=123
cd-vols=
no-issue=23
article-no=
start-page=231601
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20231204
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Water/ice mixture- and freezing-front motion in a non-isothermal liquid bridge
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We experimentally investigate the water/ice mixture- and freezing-front behavior in a water liquid bridge under isothermal and non-isothermal conditions. We find rapid propagation, temporary suspension, and regression of the water/ice mixture front, and finally, it merges with the freezing front when part of the liquid bridge is higher than the freezing temperature. However, freezing-front propagation follows dendritic ice formation, and a protrusion forms at the middle of the liquid bridge as long as the whole liquid bridge is lower than the freezing temperature. We explain those phenomena by quasi-stationary heat-transfer considerations.
en-copyright=
kn-copyright=

en-aut-name=YamadaYutaka
en-aut-sei=Yamada
en-aut-mei=Yutaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=OkanoKodai
en-aut-sei=Okano
en-aut-mei=Kodai
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=IsobeKazuma
en-aut-sei=Isobe
en-aut-mei=Kazuma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HoribeAkihiko
en-aut-sei=Horibe
en-aut-mei=Akihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=School of Engineering, Okayama University
kn-affil=

affil-num=3
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Faculty of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=160
cd-vols=
no-issue=9
article-no=
start-page=094101
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240301
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=GenIce-core: Efficient algorithm for generation of hydrogen-disordered ice structures
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Ice is different from ordinary crystals because it contains randomness, which means that statistical treatment based on ensemble averaging is essential. Ice structures are constrained by topological rules known as the ice rules, which give them unique anomalous properties. These properties become more apparent when the system size is large. For this reason, there is a need to produce a large number of sufficiently large crystals that are homogeneously random and satisfy the ice rules. We have developed an algorithm to quickly generate ice structures containing ions and defects. This algorithm is provided as an independent software module that can be incorporated into crystal structure generation software. By doing so, it becomes possible to simulate ice crystals on a previously impossible scale.
en-copyright=
kn-copyright=

en-aut-name=MatsumotoMasakazu
en-aut-sei=Matsumoto
en-aut-mei=Masakazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YagasakiTakuma
en-aut-sei=Yagasaki
en-aut-mei=Takuma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=TanakaHideki
en-aut-sei=Tanaka
en-aut-mei=Hideki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=Research Institute for Interdisciplinary Science, Okayama University
kn-affil=

affil-num=2
en-affil=Division of Chemical Engineering, Graduate School of Engineering Science, Osaka University
kn-affil=

affil-num=3
en-affil=Toyota Physical and Chemical Research Institute
kn-affil=
END