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浏览/检索结果: 共5197条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 A Review of MAX Series Materials: From Diversity, Synthesis, Prediction, Properties Oriented to Functions 期刊论文  OAI收割 NANO-MICRO LETTERS, 2025, 卷号: 17, 期号: 1, 页码: 42 作者:  Zhang, Jian;  Jia, Ru;  Tan, Kar Ban;  Li, Jiaming;  Xu, Shichong   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/04/27 MAX materials  Diversity  Synthetic strategy  Prediction  Function   A molecularly imprinted polymer-based triple-ratio fluorescence nanosensor integrated with a paper-based microfluidic chip for rapid detection of enoxacin 期刊论文  OAI收割 TALANTA, 2025, 卷号: 295, 页码: 12 作者:  Wang, Chao;  Wen, Yuhao;  Wang, Siyu   |  收藏  |  浏览/下载：22/0  |  提交时间：2025/10/14 Enoxacin  Molecularly imprinted materials  Triple-ratios fluorescence nanosensor  Paper-based microfluidic chip   Long-term photoinduced sustained cathodic protection enabled by a h-WO3/m-WO3/TiO2/ZnIn2S4 multi-phase junction layer with enhanced charge separation and electron storage 期刊论文  OAI收割 CHEMICAL ENGINEERING JOURNAL, 2025, 卷号: 524, 页码: 16 作者:  Song, Yuhao;  Sun, Mengmeng;  Yang, Yuying;  Jiang, Xuhong;  Xiao, Bo   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/09 Anti-corrosion materials  Corrosion inhibiting materials  Dark-state sustained photoinduced cathodic  protection  Electron storage  Multiphase junction  Type-II and S -scheme band alignment   A new perspective on soil arsenic mobilization: Molecular simulation and experimental validation of functional group types, structures, and combinations 期刊论文  OAI收割 CHEMICAL ENGINEERING JOURNAL, 2025, 卷号: 520, 页码: 165553 作者:  Yan, Yunxian;  Liao, Xiaoyong;  Yang, Jun   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/08/21 Organic materials  Carboxyl group  Competitive adsorption  Density functional theory  Main factors   Laser-shock-induced flattening of silver nanowires for preparing high-performance composite transparent electrodes with enhanced durability 期刊论文  OAI收割 JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2025, 卷号: 343, 页码: 16 作者:  Hu, Yizhong;  He, Zezhou;  Liao, Yuan;  Hu, Guangwei;  Jiang MQ(蒋敏强)   |  收藏  |  浏览/下载：23/0  |  提交时间：2025/09/08 Ag NWs  2D Materials  Laser shock  Interface engineering  Composite conductive film   Goethite-humic acid composites for multi-metal soil remediation: Mechanisms and environmental transformation 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2025, 卷号: 13, 期号: 4, 页码: 14 作者:  Ma, Xiangbang;  Proshad, Ram;  Lu, Yineng;  Tan, Rong;  Ding, Zihao   |  收藏  |  浏览/下载：60/0  |  提交时间：2025/08/18 Goethite  humic acid  cadmium  lead  composite materials   Optimizing Cu2+adsorption prediction in Undaria pinnatifida using machine learning and isotherm models 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2025, 卷号: 492, 页码: 13 作者:  Chen, Haoran;  Zhang, Rui;  Qu, Xiaohan;  Shan, Tifeng;  Wang, Yuhe   |  收藏  |  浏览/下载：33/0  |  提交时间：2025/07/11 Heavy metal removal  Machine learning  Traditional adsorption models  Bioactive materials  Explainable analysis   Nature's 3D Printer: A Single-Cell Resolution Histology Atlas of the Oviduct Gland in Skate Okamejei kenojei 期刊论文  OAI收割 MICROSCOPY RESEARCH AND TECHNIQUE, 2025, 页码: 9 作者:  Guan, Bingxin;  Chen, Yuan;  Shao, Guangbin;  Zhang, Jiawei;  Xiao, Zhizhong   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/09/25 bioinspired materials  egg case  histology  oviduct gland  skate   Barium isotopic analysis of geological reference materials by MC-ICP-MS 期刊论文  OAI收割 SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2025, 卷号: 228, 页码: 107185 作者:  Ma, Shunrong;  Han, Guilin;  Zhang, Qian;  Liu, Jinke;  Ding, Ziyang   |  收藏  |  浏览/下载：56/0  |  提交时间：2025/04/21 Ba isotope ratio  Geological reference materials  Standard-sample bracketing method  MC-ICP-MS   ATR-FTIR Coupled With Machine Learning Provides a Fast Method for Identifying and Distinguishing 55 Varieties of Fruit-Derived Medicinal Materials 期刊论文  OAI收割 PHYTOCHEMICAL ANALYSIS, 2025, 页码: 13 作者:  Zhao, Wen-jie;  An, Ya-ling;  Song, Chun-qian;  Huang, Yu-shi;  Zhang, Li-jie   |  收藏  |  浏览/下载：24/0  |  提交时间：2025/08/20 ATR-FTIR  fruit-derived medicinal materials  machine learning  species discrimination