Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Pengju, Ren"'
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6670 (2024)
Recent advancements in mobile neural networks, such as the squeeze-and-excitation (SE) attention mechanism, have significantly improved model performance. However, they often overlook the crucial interaction between location information and channels.
Externí odkaz:
https://doaj.org/article/96260f68e688483e8eff0f715801d4ed
Autor:
Xiaowen Chen, Xuetao Qin, Yueyue Jiao, Mi Peng, Jiangyong Diao, Pengju Ren, Chengyu Li, Dequan Xiao, Xiaodong Wen, Zheng Jiang, Ning Wang, Xiangbin Cai, Hongyang Liu, Ding Ma
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Single-site pincer-ligated iridium complexes exhibit the ability for C-H activation in homogeneous catalysis. However, instability and difficulty in catalyst recycling are inherent disadvantages of the homogeneous catalyst, limiting its deve
Externí odkaz:
https://doaj.org/article/d9e2c64a5dd74e87a40f37523444f28d
Publikováno v:
Frontiers in Quantum Science and Technology, Vol 2 (2023)
Over the past decade many researchers have applied machine learning algorithms with computational chemistry and materials science tools to explore properties of catalysts. There is a rapid increase in publications demonstrating the use of machine lea
Externí odkaz:
https://doaj.org/article/316a4d92baab4557b0a9193486e83a56
Publikováno v:
Chemosensors, Vol 12, Iss 2, p 29 (2024)
The Raman spectroscopy analysis technique has found extensive applications across various disciplines due to its exceptional convenience and efficiency, facilitating the analysis and identification of diverse substances. In recent years, owing to the
Externí odkaz:
https://doaj.org/article/30cf001da0604d25845e04f0db3fced6
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12621 (2023)
With the popularity of mobile devices, lightweight deep learning models have important value in various application scenarios. However, how to effectively fuse the feature information from different dimensions while ensuring the model’s lightness a
Externí odkaz:
https://doaj.org/article/b49c438a80274065a72ec6fbed30e09b
Autor:
Yong Wang, Pengju Ren, Jingting Hu, Yunchuan Tu, Zhongmiao Gong, Yi Cui, Yanping Zheng, Mingshu Chen, Wujun Zhang, Chao Ma, Liang Yu, Fan Yang, Ye Wang, Xinhe Bao, Dehui Deng
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
Achieving CO oxidation at room temperature is significant for gas purification but remains challenging to perform. Here, the authors report design of graphene-isolated Pt from cobalt-nickel nanoparticles for efficiently catalytic CO oxidation in an o
Externí odkaz:
https://doaj.org/article/957be02dd4ac4e019e5b769546023300
Publikováno v:
In Journal of Petroleum Science and Engineering November 2020 194
Publikováno v:
In Journal of Petroleum Science and Engineering January 2020 184
Publikováno v:
Journal of Endocrinology; May2024, Vol. 261 Issue 2, p1-15, 15p
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42:1691-1704
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d55f40e1e1d09196afbc2019386b1d0
https://doi.org/10.1109/tcad.2022.3207320
https://doi.org/10.1109/tcad.2022.3207320