Zobrazeno 1 - 10
of 3 749
pro vyhledávání: '"Deng, Bin"'
Autor:
Zeng, Boshen, Chen, Sian, Liu, Xinxin, Chen, Changhong, Deng, Bin, Wang, Xiaoxu, Gao, Zhifeng, Zhang, Yuzhi, E, Weinan, Zhang, Linfeng
Advancements in lithium battery technology heavily rely on the design and engineering of electrolytes. However, current schemes for molecular design and recipe optimization of electrolytes lack an effective computational-experimental closed loop and
Externí odkaz:
http://arxiv.org/abs/2407.06152
Autor:
Wang, Ruoyu, Guo, Mingyu, Gao, Yuxiang, Wang, Xiaoxu, Zhang, Yuzhi, Deng, Bin, Chen, Xin, Shi, Mengchao, Zhang, Linfeng, Zhong, Zhicheng
Solid electrolytes with fast ion transport are one of the key challenges for solid state lithium metal batteries. To improve ion conductivity, chemical doping has been the most effective strategy, and atomistic simulation with machine-learning potent
Externí odkaz:
http://arxiv.org/abs/2406.18263
In this paper, we study some characterizations of $q$-spaces, strict $q$-spaces and strong $q$-spaces under $\omega$-balanced topological groups as follows: (1) A topological group $G$ is $\omega$-balanced and a $q$-space if and only if for each open
Externí odkaz:
http://arxiv.org/abs/2311.00345
Autor:
Hu, Taiping, Yang, Teng, Liu, Jianchuan, Deng, Bin, Huang, Zhengtao, Wang, Xiaoxu, Dai, Fuzhi, Zhou, Guobing, Fu, Fangjia, Tuo, Ping, Xu, Ben, Xu, Shenzhen
Owing to the trade-off between the accuracy and efficiency, machine-learning-potentials (MLPs) have been widely applied in the battery materials science, enabling atomic-level dynamics description for various critical processes. However, the challeng
Externí odkaz:
http://arxiv.org/abs/2309.01146
Foundation models (e.g., CLIP or DINOv2) have shown their impressive learning and transfer capabilities in a wide range of visual tasks, by training on a large corpus of data and adapting to specific downstream tasks. It is, however, interesting that
Externí odkaz:
http://arxiv.org/abs/2305.11092
It is well-known that the performance of well-trained deep neural networks may degrade significantly when they are applied to data with even slightly shifted distributions. Recent studies have shown that introducing certain perturbation on feature st
Externí odkaz:
http://arxiv.org/abs/2301.12643
Autor:
Bing Li, Tian‐hao Wang, Yi Huang, Yi‐ming Fan, Han Yu, Ao‐qiong Li, Deng‐bin Qi, Qi Wang, Chao Xue, Ze Wang, Guo‐quan Zheng, Yan Wang
Publikováno v:
Orthopaedic Surgery, Vol 16, Iss 4, Pp 851-863 (2024)
Objective The connection between alterations in the disc structure following percutaneous endoscopic lumbar discectomy (PELD) and symptoms in patients postsurgery has not been reported yet. The purpose of the present study was to discuss the potentia
Externí odkaz:
https://doaj.org/article/22d384ecee7449fe985fa6ae29256106
Learning invariant (causal) features for out-of-distribution (OOD) generalization has attracted extensive attention recently, and among the proposals invariant risk minimization (IRM) is a notable solution. In spite of its theoretical promise for lin
Externí odkaz:
http://arxiv.org/abs/2208.07798
Autor:
Li, Xiang, Wang, Qi, Wang, Fei, Jin, Qian, Deng, Bin, Yang, RongChang, Fu, Aikun, Li, Fuyong, Zhang, Qiao, Li, Weifen
Publikováno v:
In Food Research International November 2024 195
Autor:
Ma, Zhang-Wen, Mou, Jing-Yi, Yuan, Quan, Wang, Zi-Yi, Liu, Qing-Hua, Deng, Bin, Zhang, Yu-Dong, Tang, Dao-Quan, Wang, Liang
Publikováno v:
In International Journal of Biological Macromolecules October 2024 277 Part 2