Refine your search:     
Report No.
 - 
Search Results: Records 1-14 displayed on this page of 14
  • 1

Presentation/Publication Type

Initialising ...

Refine

Journal/Book Title

Initialising ...

Meeting title

Initialising ...

First Author

Initialising ...

Keyword

Initialising ...

Language

Initialising ...

Publication Year

Initialising ...

Held year of conference

Initialising ...

Save select records

Journal Articles

High-temperature atomic diffusion and specific heat in quasicrystals

Nagai, Yuki; Iwasaki, Yutaka*; Kitahara, Koichi*; Takagiwa, Yoshiki*; Kimura, Kaoru*; Shiga, Motoyuki

Physical Review Letters, 132(19), p.196301_1 - 196301_6, 2024/05

 Times Cited Count:4 Percentile:87.37(Physics, Multidisciplinary)

A quasicrystal is an ordered but non-periodic structure understood as a projection from a higher dimensional periodic structure. An anomalous increase in heat capacity at high temperatures has been discussed for over two decades as a manifestation of a hidden high dimensionality of quasicrystals. A theoretical study of the heat capacity of realistic quasicrystals or their approximants has yet to be conducted because of the huge computational complexity. To bridge this gap between experiment and theory, we show experiments and cutting-edge machine-learning molecular simulations on the same material, an Al-Pd-Ru quasicrystal, and its approximants. We show that at high temperatures, aluminum atoms diffuse with discontinuous-like jumps, and the diffusion paths of the aluminum can be understood in terms of jumps corresponding to hyperatomic fluctuations in six-dimensional space.

Journal Articles

Large collectivity in $$^{29}$$Ne at the boundary of the island of inversion

Revel, A.*; Wu, J.*; Iwasaki, Hironori*; Ash, J.*; Bazin, D.*; Brown, B. A.*; Chen, J.*; Elder, R.*; Farris, P.*; Gade, A.*; et al.

Physics Letters B, 838, p.137704_1 - 137704_7, 2023/03

 Times Cited Count:3 Percentile:62.61(Astronomy & Astrophysics)

no abstracts in English

Journal Articles

A Storm-induced flood and associated nearshore dispersal of the river-derived suspended $$^{137}$$Cs

Uchiyama, Yusuke*; Tokunaga, Natsuki*; Azuma, Kohei*; Kamidaira, Yuki; Tsumune, Daisuke*; Iwasaki, Toshiki*; Yamada, Masatoshi*; Tateda, Yutaka*; Ishimaru, Takashi*; Ito, Yukari*; et al.

Science of the Total Environment, 816, p.151573_1 - 151573_13, 2022/04

 Times Cited Count:10 Percentile:62.28(Environmental Sciences)

no abstracts in English

Journal Articles

Cross-shell excitations in $$^{46}$$Ca studied with fusion reactions induced by a reaccelerated rare isotope beam

Ash, J.*; Iwasaki, Hironori*; Mijatovi$'c$, T.*; Budner, T.*; Elder, R.*; Elman, B.*; Friedman, M.*; Gade, A.*; Grinder, M.*; Henderson, J.*; et al.

Physical Review C, 103(5), p.L051302_1 - L051302_6, 2021/05

 Times Cited Count:3 Percentile:36.17(Physics, Nuclear)

no abstracts in English

Journal Articles

New precise measurements of muonium hyperfine structure at J-PARC MUSE

Strasser, P.*; Abe, Mitsushi*; Aoki, Masaharu*; Choi, S.*; Fukao, Yoshinori*; Higashi, Yoshitaka*; Higuchi, Takashi*; Iinuma, Hiromi*; Ikedo, Yutaka*; Ishida, Katsuhiko*; et al.

EPJ Web of Conferences, 198, p.00003_1 - 00003_8, 2019/01

 Times Cited Count:15 Percentile:98.57(Quantum Science & Technology)

Journal Articles

New precise measurement of muonium hyperfine structure interval at J-PARC

Ueno, Yasuhiro*; Aoki, Masaharu*; Fukao, Yoshinori*; Higashi, Yoshitaka*; Higuchi, Takashi*; Iinuma, Hiromi*; Ikedo, Yutaka*; Ishida, Katsuhiko*; Ito, Takashi; Iwasaki, Masahiko*; et al.

Hyperfine Interactions, 238(1), p.14_1 - 14_6, 2017/11

 Times Cited Count:4 Percentile:87.69(Physics, Atomic, Molecular & Chemical)

Journal Articles

New muonium HFS measurements at J-PARC/MUSE

Strasser, P.*; Aoki, Masaharu*; Fukao, Yoshinori*; Higashi, Yoshitaka*; Higuchi, Takashi*; Iinuma, Hiromi*; Ikedo, Yutaka*; Ishida, Katsuhiko*; Ito, Takashi; Iwasaki, Masahiko*; et al.

Hyperfine Interactions, 237(1), p.124_1 - 124_9, 2016/12

 Times Cited Count:7 Percentile:89.58(Physics, Atomic, Molecular & Chemical)

JAEA Reports

Summary of fuel safety research meeting 2005; March 2-3, 2005, Tokyo

Fuketa, Toyoshi; Nakamura, Takehiko; Nagase, Fumihisa; Nakamura, Jinichi; Suzuki, Motoe; Sasajima, Hideo; Sugiyama, Tomoyuki; Amaya, Masaki; Kudo, Tamotsu; Chuto, Toshinori; et al.

JAEA-Review 2006-004, 226 Pages, 2006/03

JAEA-Review-2006-004.pdf:34.43MB

Fuel Safety Research Meeting 2005, which was organized by the Japan Atomic Energy Agency was held on March 2-3, 2005 at Toshi Center Hotel, Tokyo. The purposes of the meeting are to present and discuss the results of experiments and analyses on reactor fuel safety and to exchange views and experiences among the participants. The technical topics of the meeting covered the status of fuel safety research activities, fuel behavior under Reactivity Initiated Accident (RIA) and Loss of coolant accident (LOCA) conditions, high fuel behavior, and radionuclide release under severe accident conditions. This summary contains all the abstracts and sheets of viewgraph presented in the meeting.

Journal Articles

Gamow-Teller decay of the $$T=1$$ nucleus $$^{46}$$Cr

Onishi, Takeo*; Gelberg, A.*; Sakurai, Hiroyoshi*; Yoneda, Kenichiro*; Aoi, Nori*; Imai, Nobuaki*; Baba, Hidetada*; Von Brentano, P.*; Fukuda, Naoki*; Ichikawa, Yuichi*; et al.

Physical Review C, 72(2), p.024308_1 - 024308_7, 2005/08

 Times Cited Count:23 Percentile:78.14(Physics, Nuclear)

no abstracts in English

Journal Articles

A New static and dynamic one-point equation and analytic and numerical calculations for a subcritical system

Nishihara, Kenji; Iwasaki, Tomohiko*; Udagawa, Yutaka*

Journal of Nuclear Science and Technology, 40(7), p.481 - 492, 2003/07

 Times Cited Count:18 Percentile:71.90(Nuclear Science & Technology)

A new one-point equation is derived according to the balance of the fission neutrons. The equation has the same form as the conventional equation containing keff. The variables of the equation are the number of the fission neutrons and the delayed neutron precursors, and the coefficients are the multiplication factors of a prompt fission neutron, a delayed neutron and a source neutron. In the equation derived here, all variables and coefficients have each clear physical meaning. Analytic, deterministic and probabilistic calculations of the equation are performed for an accelerator-driven system.

Oral presentation

Atomic diffusion due to hyperatomic fluctuation for quasicrystals and their approximants

Nagai, Yuki; Iwasaki, Yutaka*; Takagiwa, Yoshiki*; Kitahara, Koichi*; Kimura, Kaoru*; Shiga, Motoyuki

no journal, , 

A quasicrystal is an ordered but non-periodic structure understood as a projection from a higher dimensional periodic structure. An anomalous increase in heat capacity at high temperatures has been discussed for over two decades as a manifestation of a hidden high dimensionality of quasicrystals. A theoretical study of the heat capacity of realistic quasicrystals or their approximants has yet to be conducted because of the huge computational complexity. To bridge this gap between experiment and theory, we show experiments and cutting-edge machine-learning molecular simulations on the same material, an Al-Pd-Ru quasicrystal, and its approximants. We show that at high temperatures, aluminum atoms diffuse with discontinuous-like jumps, and the diffusion paths of the aluminum can be understood in terms of jumps corresponding to hyperatomic fluctuations in six-dimensional space.

Oral presentation

Machine-learning MD simulation for high-temperature anomalous specific heat in quasicrystals and approximants

Nagai, Yuki; Iwasaki, Yutaka*; Kitahara, Koichi*; Kimura, Kaoru*; Shiga, Motoyuki

no journal, , 

no abstracts in English

Oral presentation

Analysis of high dimensional properties in quasicrystals with machine-learning molecular simulations

Nagai, Yuki; Iwasaki, Yutaka*; Kitahara, Koichi*; Kimura, Kaoru*; Shiga, Motoyuki

no journal, , 

In this talk, I give an overview of machine learning molecular simulation, a field that has recently been very active in research, and introduce its application to the analysis of high dimensionality in quasicrystals. I introduce machine learning molecular simulations in an easy-to-understand manner for those outside the field as a useful example of machine learning applications to physics. A quasicrystal is a material that has an ordered crystal structure but is not periodic. The crystal structure of quasicrystals can be understood as the projection of a superlattice in higher dimensional (5D or 6D) space onto real space (3D). In this talk, I report the results of specific heat analysis using experiments and machine learning molecular simulations to show that this higher dimensionality is actually reflected in observable physical quantities in the real world.

Oral presentation

Analysis of high dimensional properties in quasicrystals with machine-learning molecular dynamics simulations

Nagai, Yuki; Iwasaki, Yutaka*; Kitahara, Koichi*; Kimura, Kaoru*; Shiga, Motoyuki

no journal, , 

A quasicrystal is an ordered but non-periodic structure understood as a projection from a higher dimensional periodic structure. An anomalous increase in heat capacity at high temperatures has been discussed for over two decades as a manifestation of a hidden high dimensionality of quasicrystals. A theoretical study of the heat capacity of realistic quasicrystals or their approximants has yet to be conducted because of the huge computational complexity. To bridge this gap between experiment and theory, we show experiments and cutting-edge machine-learning molecular simulations on the same material, an Al-Pd-Ru quasicrystal, and its approximants. We show that at high temperatures, aluminum atoms diffuse with discontinuous-like jumps, and the diffusion paths of the aluminum can be understood in terms of jumps corresponding to hyperatomic fluctuations in six-dimensional space.

14 (Records 1-14 displayed on this page)
  • 1