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浏览/检索结果: 共42条，第1-10条 帮助 限定条件 发表日期：2021    专题：合肥物质科学研究院    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Identification of Cu(100)/Cu(111) Interfaces as Superior Active Sites for CO Dimerization During CO2 Electroreduction 期刊论文 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2021 作者:  Wu, Zhi-Zheng;  Zhang, Xiao-Long;  Niu, Zhuang-Zhuang;  Gao, Fei-Yue;  Yang, Peng-Peng 收藏  |  浏览/下载：50/0  |  提交时间：2022/02/14 A Dynamic Decoupling Control Method for PMSM of Brake-by-Wire System Based on Parameters Estimation 期刊论文 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021 作者:  Zhu, Zheng;  Wang, Xiangyu;  Yan, Bingjie;  Li, Liang;  Wu, Qiong 收藏  |  浏览/下载：37/0  |  提交时间：2022/01/25 Inductance  Vehicle dynamics  Permanent magnet motors  Synchronous motors  Inductance measurement  Stator windings  Couplings  Brake-by-wire (BBW)  dynamic decoupling  permanent magnet synchronous motor (PMSM)  recursive least square (RLS)  thermodynamic model   The rapid SERS detection of succinylcholine chloride in human plasma is based on the high affinity between quaternary ammonium salt structures 期刊论文 SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2021, 卷号: 263 作者:  Lin, Dongyue;  He, Yao;  Dong, Ronglu;  Li, Wei;  Meng, Fanli 收藏  |  浏览/下载：75/0  |  提交时间：2021/11/01 Surface enhanced Raman scattering  High affinity  Succinylcholine chloride  Gold nanorods  Human plasma   Discovery of a Novel Androgen Receptor Antagonist Manifesting Evidence to Disrupt the Dimerization of the Ligand-Binding Domain via Attenuating the Hydrogen-Bonding Network Between the Two Monomers 期刊论文 JOURNAL OF MEDICINAL CHEMISTRY, 2021, 卷号: 64 作者:  Fu, Weitao;  Zhang, Minkui;  Liao, Jianing;  Tang, Qing;  Lei, Yixuan 收藏  |  浏览/下载：53/0  |  提交时间：2022/03/21 Simultaneous extraction and surface enhanced Raman spectroscopy detection for the rapid and reliable identification of nicotine released from snus products 期刊论文 ANALYTICAL METHODS, 2021, 卷号: 13 作者:  Tian, Yongfeng;  Tang, Xianghu;  Fu, Yaning;  Shang, Shanzhai;  Dong, Gaofeng 收藏  |  浏览/下载：26/0  |  提交时间：2022/01/10 Reflectance Spectroscopy with Multivariate Methods for Non-Destructive Discrimination of Edible Oil Adulteration 期刊论文 BIOSENSORS-BASEL, 2021, 卷号: 11 作者:  Su, Ning;  Weng, Shizhuang;  Wang, Liusan;  Xu, Taosheng 收藏  |  浏览/下载：19/0  |  提交时间：2022/02/14 oil adulteration  Vis-NIR  reflectance spectroscopy  multivariate analysis  CARS   Discriminating BTX Molecules by the Nonselective Metal Oxide Sensor-Based Smart Sensing System 期刊论文 ACS SENSORS, 2021, 卷号: 6 作者:  Liu, Hongyu;  Meng, Gang;  Deng, Zanhong;  Nagashima, Kazuki;  Wang, Shimao 收藏  |  浏览/下载：51/0  |  提交时间：2022/03/21 BTX molecules  xylene isomer classification  temperature modulation  deep learning algorithm  smart sensing system   A two-photon "turn-on" fluorescent probe for both exogenous and endogenous selenocysteine detection and imaging in living cells and zebrafish 期刊论文 SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2021, 卷号: 260 作者:  Zhao, Mei;  Shi, Di;  Hu, Wandi;  Ma, Tao;  He, Lei 收藏  |  浏览/下载：98/0  |  提交时间：2021/08/31 Endogenous selenocysteine  Two-photon fluorescence imaging  Two-photon fluorescent probe  Cell imaging  Zebrafish   NMR-Based Metabolomics Analysis Predicts Response to Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer 期刊论文 FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 卷号: 8 作者:  He, Xiangming;  Gu, Jinping;  Zou, Dehong;  Yang, Hongjian;  Zhang, Yongfang 收藏  |  浏览/下载：29/0  |  提交时间：2022/01/10 metabolomics  triple-negative breast cancer  metabolic pathway  ROC curve  NMR spectroscopy   Reflectance images of effective wavelengths from hyperspectral imaging for identification of Fusarium head blight-infected wheat kernels combined with a residual attention convolution neural network 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 卷号: 190 作者:  Weng, Shizhuang;  Han, Kaixuan;  Chu, Zhaojie;  Zhu, Gongqin;  Liu, Cunchuan 收藏  |  浏览/下载：38/0  |  提交时间：2021/11/29 Hyperspectral imaging  Wheat diseases  Variable selection  Feature fusion  Deep learning