Zobrazeno 1 - 10
of 42 967
pro vyhledávání: '"Yamane A"'
Autor:
Matsumoto, Ryo, Yamane, Kazuki, Tadano, Terumasa, Terashima, Kensei, Shinmei, Toru, Irifune, Tetsuo, Takano, Yoshihiko
The exploration of superconductors in metastable phases by manipulating crystal structures through high-pressure techniques has attracted significant interest in materials science to achieve a high critical temperature ($T_c$). In this study, we repo
Externí odkaz:
http://arxiv.org/abs/2409.03409
Autor:
Ramakrishnan, Sitaram, Yamakawa, Tatsuya, Oishi, Ryohei, Yamane, Soichiro, Ikeda, Atsutoshi, Kado, Masaki, Shimura, Yasuyuki, Takabatake, Toshiro, Onimaru, Takahiro, Shibata, Yasuhiro, Thamizhavel, Arumugam, Ramakrishnan, Srinivasan, Yonezawa, Shingo, Nohara, Minoru
We report the crystal structures and superconductivity (SC) of LaPt$_{x}$Si$_{2-x}$ ($0.5 \leq x \leq 1.0$) that are solid solutions of LaSi$_{2}$ and LaPtSi with centrosymmetric tetragonal ($I4_{1}/amd$, $D_{4h}^{19}$, \#141) and non-centrosymmetric
Externí odkaz:
http://arxiv.org/abs/2408.17033
Autor:
Ueki, Yuta, Sakurai, Hiroya, Nagata, Hibiki, Yamane, Kazuki, Matsumoto, Ryo, Terashima, Kensei, Hirose, Keisuke, Ohta, Hiroto, Kato, Masaki, Takano, Yoshihiko
We successfully synthesized samples of La$_{3}$Ni$_{2}$O$_{7+\delta}$ ($\delta = -0.50$, $-0.16$, $0.00$, $+0.01$, and $+0.12$) and measured the resistance under extremely high pressures using a diamond anvil cell to establish the electronic phase di
Externí odkaz:
http://arxiv.org/abs/2408.04970
Autor:
Fukaya, Naoki, Yamane, Koki, Masuda, Shimpei, Ummadisingu, Avinash, Maeda, Shin-ichi, Takahashi, Kuniyuki
Robots operating in the real world face significant but unavoidable issues in object localization that must be dealt with. A typical approach to address this is the addition of compliance mechanisms to hardware to absorb and compensate for some of th
Externí odkaz:
http://arxiv.org/abs/2407.21245
Autor:
Inada, Yuki, Fujioka, Masaya, Morito, Haruhiko, Sugahara, Tohru, Yamane, Hisanori, Katsura, Yukari
When searching for novel inorganic materials, limiting the combination of constituent elements can greatly improve the search efficiency. In this study, we used machine learning to predict elemental combinations with high reactivity for materials dis
Externí odkaz:
http://arxiv.org/abs/2407.20549
Autor:
Nagata, Hibiki, Sakurai, Hiroya, Ueki, Yuta, Yamane, Kazuki, Matsumoto, Ryo, Terashima, Kensei, Hirose, Keisuke, Ohta, Hiroto, Kato, Masaki, Takano, Yoshihiko
Publikováno v:
J. Phys. Soc. Jpn., 93, 095003 (2024)
The superconducting transition temperatures, $T_{\mathrm{c}}$, of La$_{4}$Ni$_{3}$O$_{10+\delta}$($\delta$ = 0.04 and -0.01) were determined under various pressures up to 124.9 GPa by electrical resistance measurements with a diamond anvil cell. $T_{
Externí odkaz:
http://arxiv.org/abs/2405.19880
Autor:
Ummadisingu, Avinash, Choi, Jongkeum, Yamane, Koki, Masuda, Shimpei, Fukaya, Naoki, Takahashi, Kuniyuki
Acquiring accurate depth information of transparent objects using off-the-shelf RGB-D cameras is a well-known challenge in Computer Vision and Robotics. Depth estimation/completion methods are typically employed and trained on datasets with quality d
Externí odkaz:
http://arxiv.org/abs/2403.19607
Autor:
Dunn, Jessilyn, Mishra, Varun, Shandhi, Md Mobashir Hasan, Jeong, Hayoung, Yamane, Natasha, Watanabe, Yuna, Chen, Bill, Goodwin, Matthew S.
Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with ra
Externí odkaz:
http://arxiv.org/abs/2403.17165
It is important to reveal the inverse dynamics of manipulators to improve control performance of model-based control. Neural networks (NNs) are promising techniques to represent complicated inverse dynamics while they require a large amount of motion
Externí odkaz:
http://arxiv.org/abs/2402.00393
Imitation learning is often used in addition to reinforcement learning in environments where reward design is difficult or where the reward is sparse, but it is difficult to be able to imitate well in unknown states from a small amount of expert data
Externí odkaz:
http://arxiv.org/abs/2401.16772