机构

• 光电技术研究所 [36]
• 化学研究所 [32]
• 苏州生物医学工程技术... [4]
• 过程工程研究所 [4]
• 地球化学研究所 [4]
• 金属研究所 [3]
• 更多

采集方式

• OAI收割 [112]

内容类型

• 期刊论文 [110]
• 会议论文 [2]

发表日期

• 2023 [2]
• 2022 [4]
• 2021 [5]
• 2020 [1]
• 2019 [6]
• 2018 [5]
• 更多

学科主题

• Biochemist... [2]
• Biophysics [2]
• 矿床地球化学 [2]
• Antenna ar... [1]
• Antennas -... [1]
• Antennas -... [1]
• 更多

筛选

浏览/检索结果: 共112条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 Mooring Measurements of Full-Depth Zonal Currents along the 143°E Meridian in the Northwestern Pacific Ocean 期刊论文  OAI收割 JOURNAL OF PHYSICAL OCEANOGRAPHY, 2023, 卷号: 53, 期号: 10, 页码: 2491-2510 作者:  Sun, Zhongbin;  Zhang, Zhiwei;  Li, Cheng;  Yuan, Dongliang;  Yuan, Qingguo   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/11/30 Ocean circulation  North Pacific Ocean  Mass fluxes/transport  Seasonal variability   Multiband camouflage design with thermal management 期刊论文  OAI收割 PHOTONICS RESEARCH, 2023, 卷号: 11, 期号: 5, 页码: 839-851 作者:  Huang, Lehong;  Li, Haochuan;  Li, Zhiguo;  Zhang, Wenbo;  Ma, Caiwen   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/07/05 Design of Ni(OH)2 nano-boxes@CuS nanosheets hollow hierarchical structure to achieve synergistic catalysis for high sensitivity dopamine electrochemical sensing 期刊论文  OAI收割 JOURNAL OF ALLOYS AND COMPOUNDS, 2022, 卷号: 929, 页码: 8 作者:  Liu, Yumiao;  Liu, Yurong;  Ou, Hanwen;  Shi, Dongping;  Tian, Liangliang   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/02/24 Ni(OH)2 nano-boxes  CuS nanosheets  Hollow hierarchical structure  Coordinated etching and precipitation  Dopamine electrochemical sensor   Calibration procedures for the CHASE/HIS science data 期刊论文  OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2022, 卷号: 65, 期号: 8 作者:  Qiu, Ye;  Rao, ShiHao;  Li, Chuan;  Fang, Cheng;  Ding, MingDe   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/08/01 space-based telescope  solar physics  chromosphere  photosphere   Viscous Solvent-Assisted Planetary Ball Milling for the Scalable Production of Large Ultrathin Two-Dimensional Materials 期刊论文  OAI收割 ACS NANO, 2022, 页码: 9 作者:  Zhou, Yicong;  Xu, Lanshu;  Liu, Minsu;  Qi, Zheng;  Wang, Wenbo   |  收藏  |  浏览/下载：47/0  |  提交时间：2022/09/16 two-dimensional materials  viscous solvent  ball milling  boron nitride  aspect ratio   Viscous Solvent-Assisted Planetary Ball Milling for the Scalable Production of Large Ultrathin Two-Dimensional Materials 期刊论文  OAI收割 ACS NANO, 2022, 页码: 9 作者:  Zhou, Yicong;  Xu, Lanshu;  Liu, Minsu;  Qi, Zheng;  Wang, Wenbo   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/09/16 two-dimensional materials  viscous solvent  ball milling  boron nitride  aspect ratio   Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis 期刊论文  OAI收割 INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185 作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun Jason   |  收藏  |  浏览/下载：59/0  |  提交时间：2021/11/02 COVID-19 diagnose  Knowledge attention mechanism  Knowledge-based representation learning  Knowledge embedding   Design of Hierarchical NiCo2O4 Nanocages with Excellent Electrocatalytic Dynamic for Enhanced Methanol Oxidation 期刊论文  OAI收割 NANOMATERIALS, 2021, 卷号: 11, 期号: 10, 页码: 10 作者:  Li, Xue;  He, Gege;  Zeng, Chong;  Zhou, Dengmei;  Xiang, Jing   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/06/15 hierarchical hollow nanocages  NiCo2O4  coordinated etching and precipitation  methanol oxidation  fuel cell   Single-cell lipidomics with high structural specificity by mass spectrometry 期刊论文  OAI收割 NATURE COMMUNICATIONS, 2021, 卷号: 12, 期号: 1, 页码: 2869 作者:  Li, Zishuai;  Cheng, Simin;  Lin, Qiaohong;  Cao, Wenbo;  Yang, Jing   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/03/21 Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 32 作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun J.   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/06/15 biomedical imaging  COVID‐  19  knowledge distillation  meta‐  learning  unsupervised learning