921 to 930 of 11,008 Results
Aug 29, 2026
Research data and code associated with publications and research projects by Wangke Yu in optics and structured light. |
Aug 27, 2026 - Yijie SHEN
Wang, Jun; Pang, Shanhe; Che, Zhiyuan; Liu, Chang; Liu, Wenzhe; Xie, Haoyu; Li, Shipeng; Du, Zhongxia; Hu, Xilai; Li, Yanuong; Wang, Bo; Shi, Lei; Bliokh, Konstantin Y.; Shen, Yijie, 2026, "Replication Data for: Dynamic water-wave tweezers", https://doi.org/10.21979/N9/ITFQS8, DR-NTU (Data), V2, UNF:6:ejm98QKBo+bnI9rCca3Caw== [fileUNF]
Replication Data for: Dynamic water-wave tweezers |
Aug 27, 2026 -
Replication Data for: Dynamic water-wave tweezers
Tabular Data - 3.4 KB - 4 Variables, 100 Observations - UNF:6:hXhhmzhw9sUdQp3UbiVqNg==
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Aug 27, 2026 -
Replication Data for: Dynamic water-wave tweezers
Tabular Data - 2.9 KB - 4 Variables, 160 Observations - UNF:6:9SEjqMxq5s/k3nS4EUHzow==
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Aug 27, 2026 -
Replication Data for: Dynamic water-wave tweezers
Tabular Data - 2.5 KB - 4 Variables, 150 Observations - UNF:6:fzVrEfukZhPlO4Gb3GxLFQ==
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Aug 27, 2026 -
Replication Data for: Dynamic water-wave tweezers
Tabular Data - 4.3 KB - 4 Variables, 132 Observations - UNF:6:G2gnsTDHwd559OQB71el1g==
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Aug 27, 2026 -
Replication Data for: Dynamic water-wave tweezers
Tabular Data - 6.4 KB - 4 Variables, 192 Observations - UNF:6:8WdLGdx+YPzxudh/qQ6jnw==
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Aug 21, 2026 - WANG Benquan
Wang, Benquan, 2026, "Recovering topological information of light by topological learning", https://doi.org/10.21979/N9/4EJCDH, DR-NTU (Data), V1
Repilcation Data for paper: Recovering topological information of light by topological learning |
Aug 17, 2026 - ZHU Changyan
Zhu, Changyan, 2026, "Resolution and robustness bounds for reconstructive spectrometers", https://doi.org/10.21979/N9/V6JUBY, DR-NTU (Data), V1
Reconstructive spectrometers are a promising emerging class of devices that combine complex light scattering with inference to enable compact, high-resolution spectrometry. Thus far, the physical determinants of these devices' performance remain under-explored. We show that under... |
Adobe PDF - 27.8 KB -
MD5: 817feb4da50baf0a955ab5d29805f22c
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