Zobrazeno 1 - 10
of 3 132
pro vyhledávání: '"Xu Zhuo"'
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 3, Pp 443-445 (2024)
C39H36N5O11Tb, triclinic, P 1‾ $\overline{1}$ (no. 2), a = 10.3365(12) Å, b = 13.0194(15) Å, c = 15.2064(18) Å, α = 108.769(2)°, β = 94.694(2)°, γ = 100.882(2)°, V = 1880.2(4) Å3, Dc = 1.607 g/cm3, Z = 2, Rgt (F) = 0.0315, wRref (F 2) =
Externí odkaz:
https://doaj.org/article/b72840fe2873439081973706ada2b6a7
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 2, Pp 155-157 (2024)
C75H76N10O23Tb2, triclinic, P−1‾ $P-\overline{1}$ (no. 2), a = 10.4524(13) Å, b = 12.9626(16) Å, c = 15.2003(18) Å, α = 108.674(2)∘, β = 94.931(2)∘, γ = 101.617(2)∘, V = 1885.8(4) nm3, Z = 1, R gt(F) = 0.0236, wR ref(F 2) = 0.0584, T
Externí odkaz:
https://doaj.org/article/b0118cba07b147d0aea7b513932bc432
Publikováno v:
Nanophotonics, Vol 12, Iss 21, Pp 4017-4030 (2023)
The current approach to 2D optical phased array (OPA) encounters challenges, such as the requirement for a highly tunable laser that is incompatible with certain 2D beam-steering applications or significant power consumption, large antenna spacing an
Externí odkaz:
https://doaj.org/article/72e08052b2b64f46af079312779301b0
Publikováno v:
Appl. Phys. Lett. 125, 182403 (2024)
The electrical switching of antiferromagnet (AFM) is very important for the development of ultrafast magnetic random-access memory (MRAM). This task becomes more difficult in antiferromagnetic oxide NiO which has complex anisotropy. We show that by u
Externí odkaz:
http://arxiv.org/abs/2411.06379
Publikováno v:
Journal of Magnetism and Magnetic Materials 611 (2024) 172614
Replacing the ferromagnet with ferrimagnet (FiM) in the magnetic tunnel junction (MTJ) allows faster magnetization switching in picoseconds. The operation of a memory cell that consists of the MTJ and a transistor requires reversable magnetization sw
Externí odkaz:
http://arxiv.org/abs/2411.06321
Autor:
Ma, Yecheng Jason, Hejna, Joey, Wahid, Ayzaan, Fu, Chuyuan, Shah, Dhruv, Liang, Jacky, Xu, Zhuo, Kirmani, Sean, Xu, Peng, Driess, Danny, Xiao, Ted, Tompson, Jonathan, Bastani, Osbert, Jayaraman, Dinesh, Yu, Wenhao, Zhang, Tingnan, Sadigh, Dorsa, Xia, Fei
Predicting temporal progress from visual trajectories is important for intelligent robots that can learn, adapt, and improve. However, learning such progress estimator, or temporal value function, across different tasks and domains requires both a la
Externí odkaz:
http://arxiv.org/abs/2411.04549
Autor:
Sun, Lingfeng, Wang, Yixiao, Hung, Pin-Yun, Wang, Changhao, Zhang, Xiang, Xu, Zhuo, Tomizuka, Masayoshi
Interacting with human agents in complex scenarios presents a significant challenge for robotic navigation, particularly in environments that necessitate both collision avoidance and collaborative interaction, such as indoor spaces. Unlike static or
Externí odkaz:
http://arxiv.org/abs/2411.03669
Compared to classical optical coherence theory based on Maxwell's electromagnetic theory and Glauber's quantum optical coherence theory based on matrix mechanics formulation of quantum mechanics, quantum optical coherence theory based on Feynman's pa
Externí odkaz:
http://arxiv.org/abs/2407.18478
Autor:
Chiang, Hao-Tien Lewis, Xu, Zhuo, Fu, Zipeng, Jacob, Mithun George, Zhang, Tingnan, Lee, Tsang-Wei Edward, Yu, Wenhao, Schenck, Connor, Rendleman, David, Shah, Dhruv, Xia, Fei, Hsu, Jasmine, Hoech, Jonathan, Florence, Pete, Kirmani, Sean, Singh, Sumeet, Sindhwani, Vikas, Parada, Carolina, Finn, Chelsea, Xu, Peng, Levine, Sergey, Tan, Jie
An elusive goal in navigation research is to build an intelligent agent that can understand multimodal instructions including natural language and image, and perform useful navigation. To achieve this, we study a widely useful category of navigation
Externí odkaz:
http://arxiv.org/abs/2407.07775
Autor:
Xu, Zhuo, Zhou, Xiao
The explosion of massive urban data recently has provided us with a valuable opportunity to gain deeper insights into urban regions and the daily lives of residents. Urban region representation learning emerges as a crucial realm for fulfilling this
Externí odkaz:
http://arxiv.org/abs/2407.02074