QQ客服 官方微博 反馈留言

浏览/检索结果: 共7条，第1-7条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 Metal–Organic-Framework-Derived Nanostructures as Multifaceted Electrodes in Metal–Sulfur Batteries 期刊论文 Advanced Materials, 2021, 卷号: 33, 期号: 27 作者:  Yan, Rui;  Ma, Tian;  Cheng, Menghao;  Tao, Xuefeng;  Yang, Zhao 收藏  |  浏览/下载：30/0  |  提交时间：2022/02/17 Charge transfer  Electric batteries  Energy storage  Metal-Organic Frameworks  Metals  Nanostructures  Organic polymers  Organometallics  Sulfur  Topography  Catalytic conversion  Critical challenges  Electrochemical performance  Energy storage systems  Future generations  High surface area  Metalorganic frameworks (MOFs)  Topography controls   Simultaneously Dual Modification of a Ternary Cathode Material by Aluminum Bis(oxalato)borate-Based Electrolyte 期刊论文 ACS Applied Energy Materials, 2021, 卷号: 4, 期号: 2, 页码: 1601-1609 作者:  Wang, Shengxian;  Wang, Shimin;  Yi, Wentao;  Cui, Xiaoling;  Li, Zhaojuan 收藏  |  浏览/下载：3/0  |  提交时间：2022/02/17 Cathode materials  Cathodes  Electrolytes  Lithium compounds  Manganese compounds  Nickel compounds  Passivation  Semiconductor doping  Critical challenges  Cycle performance  Electrochemical performance  Electrolyte decomposition  Layered Structures  Passivation film  Structural degradation  Surface coatings   Word network topic model based on Word2Vector 会议论文 Proceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018 作者:  Jiang, M.;  Liu, R.;  Wang, F. 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Big data  Semantics  Statistics  Component  Critical challenges  Internet information  Latent dirichlet allocations  Topic Modeling  WNTM  Word co-occurrence  Word2vector  Data mining   A Comparative Study on Racetrack Memories: Domain Wall vs. Skyrmion 会议论文 Proceedings - 7th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2018 作者:  Kang, W.;  Chen, X.;  Zhu, D.;  Zhang, X.;  Zhou, Y. 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 Domain walls  Magnetic domains  Spintronics  Virtual storage  Alternative information  Comparative studies  Critical challenges  Hard disk drives  Information flows  racetrack memory-(RM)  skyrmion  Storage schemes  Hard disk storage   A conductive grating sensor for online quantitative monitoring of fatigue crack 期刊论文 REVIEW OF SCIENTIFIC INSTRUMENTS, 2018, 卷号: 89, 页码: 055001 作者:  Li, Peiyuan;  Cheng, Li;  Yan, Xiaojun;  Jiao, Shengbo;  Li, Yakun 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Cracks  Fatigue crack propagation  Fatigue damage  Finite element method  Online systems  Structural health monitoring  Crack-monitoring systems  Critical challenges  Electrical potential  Quantitative monitoring  Sensor resistance  Sensor sensitivity  Structural health monitoring systems  Structural safety  Monitoring   Cross-program Design Space Exploration by Ensemble Transfer Learning 会议论文 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Irvine, CA, 2017-11-13 作者:  Li, Dandan;  Yao, Shuzhen;  Wang, Senzhang;  Wang, Ying 收藏  |  浏览/下载：16/0  |  提交时间：2019/12/30 Computer aided design  Computer software  Forestry  Integrated circuit design  Learning systems  Sampling  Trees (mathematics)  Configuration space  Critical challenges  Efficient design space explorations  Machine learning techniques  Prediction performance  Processor architectures  Software simulation  Statistical sampling  Learning algorithms   A hybrid spectral clustering and deep neural network ensemble algorithm for intrusion detection in sensor networks 期刊论文 SENSORS, 2016, 卷号: 16, 期号: 10 作者:  Ma, Tao;  Wang, Fen;  Cheng, Jianjun;  Yu, Yang;  Chen, Xiaoyun 收藏  |  浏览/下载：3/0  |  提交时间：2017/01/16 Intrusion detection  Clustering algorithms  Computer crime  Decision trees  Mercury (metal)  Network protocols  Neural networks  Routers  Statistical tests  Support vector machines  Wireless sensor networks  Back-propagation neural networks  Critical challenges  Deep neural networks  Ensemble modeling  Intrusion Detection Systems  Network defense systems  Sample similarities  Spectral clustering