Zobrazeno 1 - 10
of 1 879
pro vyhledávání: '"Xiong, Lin"'
Autor:
Zhao, Lingxiao, Zhao, Yi, Pei, Cuiying, Li, Changhua, Wang, Qi, Wu, Juefei, Cao, Weizheng, Xiong, Lin, Zhu, Haiyin, Ying, Tianping, Qi, Yanpeng
Strategies to achieve higher upper-critical-field superconductors ({\mu}0Hc2(0)) are of great interest for both fundamental science and practical applications. While reducing the thickness of two-dimensional (2D) materials to a few layers significant
Externí odkaz:
http://arxiv.org/abs/2407.04643
Autor:
Zhang, Shuai, Liu, Yang, Sun, Zhiyuan, Chen, Xinzhong, Li, Baichang, Moore, S. L., Liu, Song, Wang, Zhiying, Rossi, S. E., Jing, Ran, Fonseca, Jordan, Yang, Birui, Shao, Yinming, Huang, Chun-Ying, Handa, Taketo, Xiong, Lin, Fu, Matthew, Pan, Tsai-Chun, Halbertal, Dorri, Xu, Xinyi, Zheng, Wenjun, Schuck, P. J., Pasupathy, A. N., Dean, C. R., Zhu, Xiaoyang, Cobden, David H., Xu, Xiaodong, Liu, Mengkun, Fogler, M. M., Hone, James C., Basov, D. N.
Publikováno v:
Nature Communications 14, 6200 (2023)
Ferroelectricity, a spontaneous and reversible electric polarization, is found in certain classes of van der Waals (vdW) material heterostructures. The discovery of ferroelectricity in twisted vdW layers provides new opportunities to engineer spatial
Externí odkaz:
http://arxiv.org/abs/2309.06667
Autor:
Xiong Lin, Miaoling Yang, Yuanling Huang, Xiaoli Huang, Huibo Shi, Binbin Chen, Jianle Kang, Sunkui Ke
Publikováno v:
IET Systems Biology, Vol 18, Iss 3, Pp 103-117 (2024)
Abstract Genes associated with endoplasmic reticulum stress (ERS) and mitophagy can be conducive to predicting solid tumour prognosis. The authors aimed to develop a prognosis prediction model for these genes in lung adenocarcinoma (LUAD). Relevant g
Externí odkaz:
https://doaj.org/article/a19e8b91f1a44def912d0724433cef04
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-7 (2024)
Abstract Orbital current, defined as the orbital character of Bloch states in solids, can travel with larger coherence length through a broader range of materials than its spin counterpart, facilitating a robust, higher density and energy efficient i
Externí odkaz:
https://doaj.org/article/d771f32f22dd4b9290bb9bfa2f28c97f
Autor:
Xiong, Lin
Photonic crystals are media with periodically varying optical properties. Photonic crystals enable exquisite control of light propagation in integrated optical circuits and also emulate advanced physical concepts. However, common photonic crystals di
Autor:
Pengfei Jin, Xiong Lin, Wenfeng Xu, Kangning Li, Xiaoxiao Zhao, Sirui Guo, Zinan Zhao, Lujie Jiang, Feng Liao, Longgang Chang, Min Wang, Yanmin Liu, Shaolei Huang, Zhangran Chen, Fusui Ji
Publikováno v:
iMeta, Vol 3, Iss 3, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/ef48b08c4cb44e5d82d6846bf236ac93
Publikováno v:
Personnel Review, 2022, Vol. 53, Issue 1, pp. 56-75.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PR-11-2021-0835
Autor:
Kim, Brian S. Y., Sternbach, Aaron J., Choi, Min Sup, Sun, Zhiyuan, Ruta, Francesco L., Shao, Yinming, McLeod, Alexander S., Xiong, Lin, Dong, Yinan, Rajendran, Anjaly, Liu, Song, Nipane, Ankur, Chae, Sang Hoon, Zangiabadi, Amirali, Xu, Xiaodong, Millis, Andrew J., Schuck, P. James, Dean, Cory. R., Hone, James C., Basov, D. N.
Plasmon polaritons in van der Waals (vdW) materials hold promise for next-generation photonics. The ability to deterministically imprint spatial patterns of high carrier density in cavities and circuitry with nanoscale features underlies future progr
Externí odkaz:
http://arxiv.org/abs/2206.12754
Publikováno v:
Machine Intelligence Research, vol. 21, pp. 331-348, 2024
Facial expression recognition (FER) is still one challenging research due to the small inter-class discrepancy in the facial expression data. In view of the significance of facial crucial regions for FER, many existing researches utilize the prior in
Externí odkaz:
http://arxiv.org/abs/2203.14045
Publikováno v:
Neural Computing and Applications(2021)
Real world datasets often contain noisy labels, and learning from such datasets using standard classification approaches may not produce the desired performance. In this paper, we propose a Gaussian Mixture Discriminant Analysis (GMDA) with noisy lab
Externí odkaz:
http://arxiv.org/abs/2201.10242