Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Wuxin Sha"'
Autor:
Wuxin Sha, Yaqing Guo, Danpeng Cheng, Qigao Han, Ping Lou, Minyuan Guan, Shun Tang, Xinfang Zhang, Songfeng Lu, Shijie Cheng, Yuan-Cheng Cao
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract LiNi0.5Co0.2Mn0.3O2 (NCM523) has become one of the most popular cathode materials for current lithium-ion batteries due to its high-energy density and cost performance. However, the rapid capacity fading of NCM severely hinders its developme
Externí odkaz:
https://doaj.org/article/83621b23e88f4258a0bcb01121cc9b3a
Autor:
Wuxin Sha, Yan Li, Shun Tang, Jie Tian, Yuming Zhao, Yaqing Guo, Weixin Zhang, Xinfang Zhang, Songfeng Lu, Yuan‐Cheng Cao, Shijie Cheng
Publikováno v:
InfoMat, Vol 3, Iss 4, Pp 353-361 (2021)
Abstract Polymers have been widely used in energy storage, construction, medicine, aerospace, and so on. However, the complexity of chemical composition and morphology of polymers has brought challenges to their development. Thanks to the integration
Externí odkaz:
https://doaj.org/article/964ffde35e334c5393a6148a342bda14
Autor:
Danpeng Cheng, Wuxin Sha, Zuo Xu, Lixin Huang, Yunpeng Du, Shun Tang, Yaqing Guo, Yuan-Cheng Cao, Shijie Cheng
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 3, Pp n/a-n/a (2022)
Material characterization has been proved to be the most intuitive approach to understand the chemical composition, structure, and microstructure of materials, which is the basis of material design. One of the most important steps in material design
Externí odkaz:
https://doaj.org/article/3a10631c4d994f7ba9735915e32927cf
Autor:
Wuxin Sha, Yaqing Guo, Qing Yuan, Shun Tang, Xinfang Zhang, Songfeng Lu, Xin Guo, Yuan-Cheng Cao, Shijie Cheng
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 4, Pp n/a-n/a (2020)
Artificial intelligence (AI) has received widespread attention over the last few decades due to its potential to increase automation and accelerate productivity. In recent years, a large number of training data, improved computing power, and advanced
Externí odkaz:
https://doaj.org/article/fb896821f51d4bfd94ea3611dec81a3f
Autor:
Danpeng Cheng, Wuxin Sha, Linna Wang, Shun Tang, Aijun Ma, Yongwei Chen, Huawei Wang, Ping Lou, Songfeng Lu, Yuan-Cheng Cao
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4671 (2021)
Battery lifetime prediction is a promising direction for the development of next-generation smart energy storage systems. However, complicated degradation mechanisms, different assembly processes, and various operation conditions of the batteries bri
Externí odkaz:
https://doaj.org/article/cbf096174e2c4c31be6f7e8c3239a2a6
Autor:
Danpeng Cheng, Wuxin Sha, Zuo Xu, Shide Li, Zhigao Yin, Yuling Lang, Shun Tang, Yuan-Cheng Cao
Publikováno v:
Science China Information Sciences. 66
Autor:
Xuechun Lou, Jun Zhong, Danpeng Cheng, Qigao Han, Fuhe Wang, Shuaijing Ji, Wuxin Sha, Fengqian Wang, Jie Tian, Weixin Zhang, Shun Tang, Yuan-Cheng Cao, Shijie Cheng
Publikováno v:
Chemical Engineering Journal. :143681
Autor:
Shijie Cheng, Weixin Zhang, Yuming Zhao, Li Yan, Songfeng Lu, Xinfang Zhang, Yuan-Cheng Cao, Jie Tian, Wuxin Sha, Shun Tang, Yaqing Guo
Publikováno v:
InfoMat, Vol 3, Iss 4, Pp 353-361 (2021)
Polymers have been widely used in energy storage, construction, medicine, aerospace, and so on. However, the complexity of chemical composition and morphology of polymers has brought challenges to their development. Thanks to the integration of machi
Autor:
Qigao Han, Wuxin Sha, Jianhao He, Yaqing Guo, Fuhe Wang, Weixin Zhang, Shun Tang, Ping Lou, Minyuan Guan, Shijie Cheng, Yuancheng Cao
Publikováno v:
Chemical Engineering Journal. 446:137051
Publikováno v:
PRICAI 2021: Trends in Artificial Intelligence ISBN: 9783030893699
PRICAI (3)
PRICAI (3)
Superpixels have been widely used in computer vision tasks due to their representational and computational efficiency. Meanwhile, deep learning and end-to-end framework have made great progress in various fields including computer vision. However, ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5108b614e16578763d17a6c85e03a777
https://doi.org/10.1007/978-3-030-89370-5_22
https://doi.org/10.1007/978-3-030-89370-5_22