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Yan, S. Q.*; Li, X. Y.*; Nishio, Katsuhisa; Lugaro, M.*; Li, Z. H.*; Makii, Hiroyuki; Pignatari, M.*; Wang, Y. B.*; Orlandi, R.; Hirose, Kentaro; et al.
Astrophysical Journal, 919(2), p.84_1 - 84_7, 2021/10
Times Cited Count:1 Percentile:8.87(Astronomy & Astrophysics)Yan, S. Q.*; Li, Z. H.*; Wang, Y. B.*; Nishio, Katsuhisa; Lugaro, M.*; Karakas, A. I.*; Makii, Hiroyuki; Mohr, P.*; Su, J.*; Li, Y. J.*; et al.
Astrophysical Journal, 848(2), p.98_1 - 98_8, 2017/10
Times Cited Count:5 Percentile:21.48(Astronomy & Astrophysics)Yan, S. Q.*; Li, Z. H.*; Wang, Y. B.*; Nishio, Katsuhisa; Makii, Hiroyuki; Su, J.*; Li, Y. J.*; Nishinaka, Ichiro; Hirose, Kentaro; Han, Y. L.*; et al.
Physical Review C, 94(1), p.015804_1 - 015804_5, 2016/07
Times Cited Count:6 Percentile:44.49(Physics, Nuclear)Matsunaga, Go; Okabayashi, Michio*; Aiba, Nobuyuki; Boedo, J. A.*; Ferron, J. R.*; Hanson, J. M.*; Hao, G. Z.*; Heidbrink, W. W.*; Holcomb, C. T.*; In, Y.*; et al.
Nuclear Fusion, 53(12), p.123022_1 - 123022_13, 2013/12
Times Cited Count:6 Percentile:26.2(Physics, Fluids & Plasmas)Annadi, A.*; Zhang, Q.*; Renshaw Wang, X.*; Tuzla, N.*; Gopinadhan, K.*; L, W. M.*; Roy Barman, A.*; Liu, Z. Q.*; Srivastava, A.*; Saha, S.*; et al.
Nature Communications (Internet), 4, p.1838_1 - 1838_7, 2013/05
Times Cited Count:97 Percentile:94.65(Multidisciplinary Sciences)Matsunaga, Go; Okabayashi, Michio*; Aiba, Nobuyuki; Boedo, J. A.*; Ferron, J. R.*; Hanson, J. M.*; Hao, G. Z.*; Heidbrink, W. W.*; Holcomb, C. T.*; In, Y.*; et al.
Proceedings of 24th IAEA Fusion Energy Conference (FEC 2012) (CD-ROM), 8 Pages, 2013/03
Lu, L.*; Iida, Hiromasa; Li, Y.*; Ding, A.*; Zeng, Q.*; Huang, C.*; Wu, Y.*
no journal, ,
Port Limiter is one of important components of ITER (International Thermonuclear Experimental Reactor) with sophisticated geometry. A particular and accurate MCNP input model of ITER with Port Limiter for nuclear analysis was generated with MCAM (Monte Carlo particle Transport Calculated Automatic Modeling System). This paper introduces the detailed work flow of preprocessing of CAD engineering model and validates the MCNP model generated before the actual calculation. The successful application demonstrates that MCAM is capable of dramatically increasing the efficiency and accuracy to generate MC (Monte Carlo) models from CAD engineering models with complex geometry comparing with the traditional manual modeling method.
Matsunaga, Go; Okabayashi, Michio*; Aiba, Nobuyuki; Boedo, J. A.*; Ferron, J. R.*; Hanson, J. M.*; Hao, G. Z.*; Heidbrink, W. W.*; Holcomb, C. T.*; In, Y.*; et al.
no journal, ,
no abstracts in English