Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Renjie Xie"'
Autor:
Chengyin Tu, Xiong Chen, Fan Chen, Yuqian Zhuang, Wenxiang Cai, Yingkun Li, Weixuan Li, Changsheng Zhou, Renjie Xie
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Aluminum (Al) is usually added to solid propellants to improve the combustion performance, however the condensed combustion products (CCPs) especially the large agglomerates generated from aluminum combustion can reduce the specific impulse
Externí odkaz:
https://doaj.org/article/46e1c0cd3af34f5597b6431bde9ea2d3
Autor:
Zhen Wu, Wenfeng He, Renjie Xie, Xuan Xiong, Zihan Wang, Lei Zhou, Fen Qiao, Junfeng Wang, Yan Zhou, Xinlei Wang, Jiajia Yuan, Tian Tang, Chenyao Hu, Wei Tong, Lubin Ni, Xin Wang, Yongsheng Fu
Publikováno v:
Molecules, Vol 29, Iss 20, p 4968 (2024)
Lithium–sulfur (Li-S) batteries offer a high theoretical energy density but suffer from poor cycling stability and polysulfide shuttling, which limits their practical application. To address these challenges, we developed a PANI-modified MoS2-NG co
Externí odkaz:
https://doaj.org/article/fd1f79b6e1ae4c89987458b32fc2f1e6
Autor:
Hongkun Li, Li Han, Feng Zhou, Zichen Wu, Longlin Zhang, Renjie Xie, Feng Jiang, Qiyu Tian, Xingguo Huang
Publikováno v:
Animals, Vol 14, Iss 17, p 2450 (2024)
The gut microbiota is crucial for maintaining the host’s intestinal homeostasis and metabolism. This study investigated the effects of fecal microbiota transplantation (FMT) from Ningxiang pigs on the growth performance, fecal microbiota, and serum
Externí odkaz:
https://doaj.org/article/649b3310068243c99a6815dabadd8ed0
Publikováno v:
IEEE/ACM Transactions on Networking. 30:2158-2172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::574c6513cda65f561890967e907f88c1
https://doi.org/10.1109/tnet.2022.3169136
https://doi.org/10.1109/tnet.2022.3169136
Publikováno v:
Catalysis Today. :95-101
Efficient and cheap oxygen evolution reaction (OER) catalysts play an important role in electrochemical energy storage and conversion devices. Transition metal nitrides (TMNs) show excellent OER performance mainly because of their unique electronic s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dfa3fa7bf8d8f1a5904daf9e8289644
https://doi.org/10.1016/j.cattod.2021.10.011
https://doi.org/10.1016/j.cattod.2021.10.011
Deep learning (DL)-based channel state information (CSI) feedback methods compressed the CSI matrix by exploiting its delay and angle features straightforwardly, while the measure in terms of information contained in the CSI matrix has rarely been co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f436dbaaa7609eadbbb2986551571fbf
http://arxiv.org/abs/2305.07662
http://arxiv.org/abs/2305.07662
Publikováno v:
ACS Applied Energy Materials. 4:9057-9065
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f256a066b42ec021f57a6bc0d17c08
https://doi.org/10.1021/acsaem.1c01348
https://doi.org/10.1021/acsaem.1c01348
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:2943-2955
It is critical for urban planners and real estate developers to understand how the built environment and house characteristics are valued in housing market. However, this problem is challenging because of the existence of the submarket effect resulte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47770728c36dc6540143b807db348648
https://doi.org/10.1109/tkde.2020.3010548
https://doi.org/10.1109/tkde.2020.3010548
Publikováno v:
Journal of Materials Chemistry A. 9:9753-9760
Exploring high-performance and low-cost bifunctional electrocatalysts is crucial for developing highly efficient overall water splitting cells. In this work, a facile and cheap co-precipitation method, which is compatible with large-scale production,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::972c763541ec830e32ad85958fc64a92
https://doi.org/10.1039/d1ta00001b
https://doi.org/10.1039/d1ta00001b
In order to fully exploit the advantages of massive multiple-input multiple-output (mMIMO), it is critical for the transmitter to accurately acquire the channel state information (CSI). Deep learning (DL)-based methods have been proposed for CSI comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c42937eb46d7ad151c89746882cc4eb0
http://arxiv.org/abs/2204.11567
http://arxiv.org/abs/2204.11567