Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Atsushi M Ito"'
Publikováno v:
Nuclear Materials and Energy, Vol 42, Iss , Pp 101836- (2025)
The neutralization of an ion particle on a surface is a key issue in plasma–wall interactions. We investigated helium ion injection onto a tungsten surface using time-dependent density functional theory (TDDFT) simulations. We developed the TDDFT c
Externí odkaz:
https://doaj.org/article/a9657f5754c141b5a58eebbd642b7534
Autor:
Hiroshi Koyama, Hisashi Okumura, Tetsuhisa Otani, Atsushi M. Ito, Kazuyuki Nakamura, Kagayaki Kato, Toshihiko Fujimori
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
Measuring mechanical forces of cell–cell interactions is important for studying morphogenesis in multicellular organisms. We previously reported an image-based statistical method for inferring effective mechanical potentials of pairwise cell–cell
Externí odkaz:
https://doaj.org/article/0daee276222441e288d6c225a71ac2a5
Publikováno v:
Materials Research Express, Vol 10, Iss 12, p 125002 (2023)
The formation mechanism of fibrous tungsten nanostructures, fuzz, induced by helium plasma irradiation on tungsten materials has been investigated. We have developed a BCA-MD-KMC hybrid simulation, which solves the injection process of helium atoms b
Externí odkaz:
https://doaj.org/article/e9a52253cfb04ca882186c6da4bedc4b
Publikováno v:
Nuclear Materials and Energy, Vol 12, Iss , Pp 353-360 (2017)
The diffusion process of hydrogen and helium in plasma-facing material depends on the grain boundary structures. Whether a grain boundary accelerates or limits the diffusion speed of these impurity atoms is not well understood. In the present work, w
Externí odkaz:
https://doaj.org/article/ad438f3bb4624446a59d1e870cf113d6
Publikováno v:
Japanese Journal of Applied Physics.
Although binary collision approximation (BCA) and molecular dynamics (MD) are well used for plasma-material interaction simulation, the atomic collision in the energy above 10 eV is often out of scope in general potential model for MD. For BCA, the Z
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::050d94ae414a1354edaba25b5658ebe3
https://doi.org/10.35848/1347-4065/acd4c9
https://doi.org/10.35848/1347-4065/acd4c9
Autor:
Shimpei Nishimoto, Shota Ueda, Shinji Fujita, Atsushi Nishimura, Toshikazu Onishi, Kazuki Tokuda, Ryuki Yoneda, Yoshito Shimajiri, Yusuke Miyamoto, Yasutomo Kawanishi, Atsushi M. Ito, Kaoru Nishikawa, Daisuke Yoshida, Hiroyuki Kaneko, Tsuyoshi Inoue, Shunya Takekawa, Shuyo Nakatani
Publikováno v:
Software and Cyberinfrastructure for Astronomy VII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8029815485ce9c5d0eb101cb18bc528d
https://doi.org/10.1117/12.2628664
https://doi.org/10.1117/12.2628664
Autor:
Tetsuya Morishita, Atsushi M. Ito
Publikováno v:
Physical Review Research, Vol 1, Iss 3, p 033032 (2019)
Molecular dynamics (MD) simulations have been widely recognized as a promising tool for investigating dynamical processes with an atomic resolution. The time span accessible to MD simulations is, however, extremely limited, which makes it difficult t
Externí odkaz:
https://doaj.org/article/876a6a6e443d47e68c7b4e3c520b238f
Publikováno v:
Journal of Applied Physics. 132:181101
Helium plasma irradiation to various metals leads to peculiar morphology changes as forming fiberform nanostructures called fuzz when a certain set of conditions is satisfied. In this Tutorial, we overview experimental observations about the fuzz gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ae479a9dabef82a7259601254b836e2
https://doi.org/10.1063/5.0123430
https://doi.org/10.1063/5.0123430
Autor:
Daisuke Yoshida, Tsuyoshi Inoue, Kazuki Tokuda, Shinji Fujita, Yoshito Shimajiri, Shunya Takekawa, Toshikazu Onishi, Shota Ueda, Kazufumi Torii, Yusuke Miyamoto, Atsushi Nishimura, Atsushi M. Ito, Taro Matsuo, Hiroyuki Kaneko, Yasutomo Kawanishi
Publikováno v:
Software and Cyberinfrastructure for Astronomy VI.
Recently, the amount of data obtained from astronomical instruments has been increasing explosively, and data science methods such as Machine Learning/Deep Learning gain attention on the back of the growth in demand for automatic analysis. Using thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919571bfb3d157f2187044fb273aa441
https://doi.org/10.1117/12.2560830
https://doi.org/10.1117/12.2560830
Autor:
Koyama, Hiroshi1,2 (AUTHOR) hkoyama@nibb.ac.jp, Okumura, Hisashi2,3,4 (AUTHOR), Ito, Atsushi M.2,5 (AUTHOR), Nakamura, Kazuyuki6,7 (AUTHOR), Otani, Tetsuhisa2,8 (AUTHOR), Kato, Kagayaki2,9,10 (AUTHOR), Fujimori, Toshihiko1,2 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 8/7/2023, Vol. 19 Issue 8, p1-27. 27p. 1 Diagram, 7 Graphs.