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Gupit, C. I.*; Li, X.*; Maekawa, Ryosuke*; Hasegawa, Naoki*; Iwase, Hiroki*; Takata, Shinichi; Shibayama, Mitsuhiro*
Macromolecules, 53(4), p.1464 - 1473, 2020/02
Times Cited Count:15 Percentile:62.25(Polymer Science)Ramos, R.*; Kikkawa, Takashi*; Aguirre, M.*; Lucas, I.*; Anadn, A.*; Oyake, Takafumi*; Uchida, Kenichi*; Adachi, Hiroto; Shiomi, Junichiro*; Algarabel, P. A.*; et al.
Physical Review B, 92(22), p.220407_1 - 220407_5, 2015/12
Times Cited Count:69 Percentile:90.91(Materials Science, Multidisciplinary)Sushkov, O. P.*; Milstein, A. I.*; Mori, Michiyasu; Maekawa, Sadamichi
EPL; A Letters Journal Exploring the Frontiers of Physics, 103(4), p.47003_1 - 47003_6, 2013/08
Times Cited Count:8 Percentile:50.63(Physics, Multidisciplinary)An, Toshu*; Vasyuchka, V. I.*; Uchida, Kenichi*; Chumak, A. V.*; Yamaguchi, Kazuya*; Harii, Kazuya; Oe, Junichiro*; Jungfleisch, M. B.*; Kajiwara, Yosuke*; Adachi, Hiroto; et al.
Nature Materials, 12(6), p.549 - 553, 2013/06
Times Cited Count:128 Percentile:96.32(Chemistry, Physical)Ramos, R.*; Kikkawa, Takashi*; Uchida, Kenichi*; Adachi, Hiroto; Lucas, I.*; Aguirre, M.*; Algarabel, P.*; Morelln, L.*; Maekawa, Sadamichi; Saito, Eiji; et al.
Applied Physics Letters, 102(7), p.072413_1 - 072413_5, 2013/02
Times Cited Count:156 Percentile:97.31(Physics, Applied)Ishii, Kenji; Tsutsui, Kenji; Ikeuchi, Kazuhiko*; Jarrige, I.; Mizuki, Junichiro; Hiraka, Haruhiro*; Yamada, Kazuyoshi*; Toyama, Takami*; Maekawa, Sadamichi; Endo, Yasuo*; et al.
Physical Review B, 85(10), p.104509_1 - 104509_5, 2012/03
Times Cited Count:3 Percentile:14.86(Materials Science, Multidisciplinary)Ishii, Kenji; Ishihara, Sumio*; Murakami, Yoichi*; Ikeuchi, Kazuhiko*; Kuzushita, Kaori*; Inami, Toshiya; Owada, Kenji; Yoshida, Masahiro; Jarrige, I.; Tatami, Naka*; et al.
Physical Review B, 83(24), p.241101_1 - 241101_4, 2011/06
Times Cited Count:21 Percentile:64.29(Materials Science, Multidisciplinary)Barnes, S. E.*; Aprili, M.*; Petkovi, I.*; Maekawa, Sadamichi
Superconductor Science and Technology, 24(2), p.024020_1 - 024020_6, 2011/02
Times Cited Count:11 Percentile:44.51(Physics, Applied)Ishii, Kenji; Ikeuchi, Kazuhiko*; Jarrige, I.; Mizuki, Junichiro; Hiraka, Haruhiro*; Yamada, Kazuyoshi*; Tsutsui, Kenji; Toyama, Takami*; Maekawa, Sadamichi*; Endo, Yasuo*; et al.
Physica C, 470(Suppl.1), p.S155 - S157, 2010/12
Times Cited Count:0 Percentile:0(Physics, Applied)Yoshida, Masahiro; Ishii, Kenji; Ikeuchi, Kazuhiko*; Jarrige, I.; Murakami, Yoichi*; Mizuki, Junichiro; Tsutsui, Kenji; Toyama, Takami*; Maekawa, Sadamichi*; Kudo, Kazutaka*; et al.
Physica C, 470(Suppl.1), p.S145 - S146, 2010/12
Times Cited Count:4 Percentile:21.9(Physics, Applied)Uno, Yoshitomo; Kaneko, Junichi; Nishitani, Takeo; Maekawa, Fujio; Tanaka, Teruya; Shibata, S.*; Ikeda, Yujiro; Khripunov, V.*; Walker, C. I.*; Ebisawa, Katsuyuki*; et al.
Fusion Engineering and Design, 56-57, p.895 - 898, 2001/10
Times Cited Count:8 Percentile:52.3(Nuclear Science & Technology)no abstracts in English
Nagato, Kotaro*; *; Yano, Kazutaka*; *; Maekawa, I.*; *
PNC TJ9055 96-003, 130 Pages, 1996/03
None
Muramatsu, Toshiharu; Maekawa, I.*
PNC TN9410 87-130, 156 Pages, 1987/08
The adaptive control system using the Fuzzy theory has been developed and implemented to the single-phase three-dimensional themal-hydraulic analysis code AQUA. The system controls automatically the user specified values, like a time step size t and relaxation factor for matrix calculation using iterative solution into best ones in term of stability, accuracy and cost during an execution of the code. In control of a time step size t, the Fuzzy controller can give better results in accuracy and cost compared with the case of user specified value. For example, Total CPU time needed for a steady-state calculation has been reduced by 2/3 times under the fully implicit scheme. In control of relaxation factor , the Fuzzy controller can give better results in convergence and cost Compared with cases of user specified value and theoretical value using eigenvalue of coefficient matrix of a pressure equation. From above results, It has confiremed that the adaptive control system using the Fuzzy theory is efficient measure for best tuning calculation using a multi-dimensional thermal-hydraulic analysis code.
Muramatsu, Toshiharu; Maekawa, I.*; *
PNC TN9520 87-013, 156 Pages, 1987/05
This report explains the code structure and the variable gist on the single-phase multi-dimensional thermal-hydraulic analysis code, AQUA. This computer code AQUA is improved version of the COMMIX-1A developed at U.S. Argonne National Laboratory. The items of important improvement are as follows ; (1)Addition of k- two-equations turbulence model, (2)Addition of high order differencing scheme, and (3)Addition of fast elliptic solver. This report is useful for improvement in future of the AQUA.
Muramatsu, Toshiharu; Maekawa, I.*; *
PNC TN9520 87-012, 107 Pages, 1987/05
A single-phase multi-dimensional thermal-hydraulic analysis code AQUA has been developed to establish an analytical tool for the thermal-hydraulics in a reactor and the other main components of a LMFBR. AQUA is based on the reconstruction of COMMIX-1A, introduced from ANL in 1983, which ranges from the improvements of numerics to the implementation of new functions. Main features of AQUA different from COMMIX-1A are as follows: (1)the QUICK and the QUICK-FRAM schemes are used as the discretization methods of the convection terms of transport equations. These schemes are of second-order accuracy in space and effective for the suppression of the numerical diffusion. (2)the ICCG method is implemented as the fast elliptic solver and is the alternative of the conventional P-SOR method. The computational time can be generally saved about a half of the time needed with latter method. (3)the k- turbulence model is used. This report describes the datails of the numerics of AQUA.
Muramatsu, Toshiharu; Maekawa, I.*; *
PNC TN9520 87-011, 193 Pages, 1987/05
This report explains the set-up methods of input data for the single-phase multi-dimensional thermal-hydraulic analysis code, AQUA and the graphic system. The computer code AQUA is improved version of the COMMIX-1A developed at U.S. Argonne National Laboratory. Therefore the input data scheme for the AQUA is the same manner as the COMMIX-1A. But the number of input data for the AQUA is increased as the additional functions. This paper is report about these in detail.
*; Maekawa, I.*; Sato, Kazujiro*
PNC TN9410 87-056, 139 Pages, 1987/03
The mass transport version (ver.MT) of three-dimensional thermal-hydraulic analysis code, COMMIX-PNC, has been developed to evaluate gas blow -down effects in the annulus between the MONJU closure head and plug port. The ver.MT has been validated through the analysis of the fundamental experiment of KCl transport and gas blow-down mock-up experiment. The fundamental experiments were carried out using a water cavity with 500 mm 500 mm 50 mm in size. The experiments began pouring KCl solution into the inlet of the cavity. The calculated histories of the KCl concentration transient agreed well with the experiment. For the mock-up gas blow-down experiment, three gas flowrate cases, 0.05m/min, 0.02m/min and 0.1m/min were calculated. Noble gas were predicted to reach the top part of the annulus only in the case with 0.1m/min flowrate. Through the application of the code to the MONJU configuration, the follwing have been effects of gas blow-down as obtained : [Normal gas blow condition] F.P. gases didn't enter into the annulus. [Half gas blow condition] The gases with 10% concentration reached the location of 3905 mm above the bottom of shielding plug, and [Gas blow trip condition] The gases with 13% concentration reached the door valve in 1000 sec. simulation. From the above results and their consistency with the evaluation of gas blow-down effects by the experimental correlation derived from the gas blow-down experiments, the correlation can be applicable to a complicated annulus like that of the MONJU.
Muramatsu, Toshiharu; Maekawa, I.*; Ninokata, Hisashi
PNC TN9410 87-040, 58 Pages, 1987/03
Omission