机构

• 武汉岩土力学研究所 [21]
• 计算技术研究所 [5]
• 东北地理与农业生态研... [4]
• 过程工程研究所 [4]
• 地质与地球物理研究所 [2]
• 大连化学物理研究所 [2]
• 更多

采集方式

• OAI收割 [53]

内容类型

• 期刊论文 [51]
• 会议论文 [2]

发表日期

• 2024 [1]
• 2023 [2]
• 2022 [7]
• 2021 [9]
• 2020 [4]
• 2019 [4]
• 更多

学科主题

• Chemistry,... [2]
• Engineerin... [2]
• Science & ... [2]
• Carbon Dio... [1]
• Chemistry [1]
• Energy & F... [1]
• 更多

筛选

浏览/检索结果: 共53条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Cross-ancestry genome-wide association studies of brain imaging phenotypes 期刊论文  OAI收割 NATURE GENETICS, 2024, 页码: 31 作者:  Fu, Jilian;  Zhang, Quan;  Wang, Jianhua;  Wang, Meiyun;  Zhang, Bing   |  收藏  |  浏览/下载：26/0  |  提交时间：2024/06/29 Effect of an Herbal-Based Injection on 28-Day Mortality in Patients With Sepsis The EXIT-SEP Randomized Clinical Trial 期刊论文  OAI收割 JAMA INTERNAL MEDICINE, 2023, 卷号: 183, 期号: 7, 页码: 647-655 作者:  Liu, Songqiao;  Yao, Chen;  Xie, Jianfeng;  Liu, Hong;  Wang, Hongliang   |  收藏  |  浏览/下载：29/0  |  提交时间：2024/03/27 Telomere-to-telomere and haplotype-resolved genome assembly of the Chinese cork oak (Quercus variabilis) 期刊论文  OAI收割 FRONTIERS IN PLANT SCIENCE, 2023, 卷号: 14, 页码: 1290913 作者:  Wang,Longxin;  Li,Lei-Lei;  Chen,Li;  Zhang,Ren-Gang;  Zhao,Shi-Wei   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/05/09 Quercus variabilis  genome assembly  telomere-to-telomere  gap-less  haplotype-resolved  PROGRAM  PROTEIN  TRANSCRIPTOME  ALIGNMENTS  PROVIDES  SYSTEM   General spiking neural network framework for the learning trajectory from a noisy mmWave radar 期刊论文  OAI收割 Neuromorphic Computing and Engineering, 2022, 卷号: 2, 期号: 3 作者:  Liu,Xin;  Yan,Mingyu;  Deng,Lei;  Wu,Yujie;  Han,De   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/05/31 millimeter wave radar  spiking neural networks  attention mechanism  model robustness  trajectory estimation   Phase transition and fluid backflow during the non-injection period in the Ordos CCS project, China 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 349, 期号: -, 页码: - 作者:  Cai, Yuna;  Lei, Hongwu;  Li, Xiaochun;  Feng, Guanhong;  Cui, Yinxiang   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/08/02 Wellbore-reservoir coupled numerical model  Shut-in  Phase transition  Backflow   Incorporation mechanism of structurally bound gold in pyrite: Insights from an integrated chemical and atomic-scale microstructural study 期刊论文  OAI收割 AMERICAN MINERALOGIST, 2022, 卷号: 107, 期号: 4, 页码: 603-613 作者:  Meng, Lei;  Zhu, Sanyuan;  Li, Xiaochun;  Chen, Wei Terry;  Xian, Haiyang   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/07/06 Arsenian pyrite  mu-XANES spectroscopy  Z-contrast HAADF-STEM image  Au incorporation mechanism   Incorporation mechanism of structurally bound gold in pyrite: Insights from an integrated chemical and atomic-scale microstructural study 期刊论文  OAI收割 AMERICAN MINERALOGIST, 2022, 卷号: 107, 期号: 4, 页码: 603-613 作者:  Meng, Lei;  Zhu, Sanyuan;  Li, Xiaochun;  Chen, Wei Terry;  Xian, Haiyang   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/11/09 Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文  OAI收割 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234 作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/06/21 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method   Modeling of possible CO2 leakage with phase transition in wellbore-reservoir system based on the Ordos CCS project, China 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2022, 卷号: 114, 期号: -, 页码: - 作者:  Cai, Yuna;  Lei, Hongwu;  Li, Xiaochun;  Feng, Guanhong;  Cui, Yinxiang   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/08/02 Ordos CCS project  Wellbore leakage  Phase transition  Wellbore-reservoir coupled model  CO2 geological storage   Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234 作者:  Xin Liu;  Mingyu Yan   |  收藏  |  浏览/下载：58/0  |  提交时间：2021/11/03 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method