Showing 141 - 160 results of 605 for search '"lithium"', query time: 0.06s Refine Results
  1. 141

    Synthesis of Spherical Composite CMC-LTO-EGDE-ME for Lithium Recovery from Geothermal Water by Yingchun Xie, Yilin Zhang, Jiayu Qin, Murodjon Samadiy, Tianlong Deng

    Published 2022-01-01
    “…In this study, ethylene glycol diglycidyl ether (EGDE) and melamine (ME) were used to prepare a spherical composite material CMC-LTO-EGDE-ME through the strategy of cross-linking reaction of biodegradable sodium carboxymethyl cellulose (CMC) with Li2TiO3 (LTO) to improve the cycle stability of the adsorption-desorption for lithium recovery. In the geothermal water at 333.15°K, the adsorption capacity of the spherical composite adsorbent for lithium-ion is 12.02 mg/g, and the adsorption equilibrium time is 8 h. …”
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  2. 142

    Feature selection and data‐driven model for predicting the remaining useful life of lithium‐ion batteries by Yuhao Zhang, Yunfei Han, Tao Cai, Jia Xie, Shijie Cheng

    Published 2024-12-01
    “…Abstract To ensure long and reliable operation of lithium‐ion battery storage workstations, accurate, fast, and stable lifetime prediction is crucial. …”
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    Fabrication of Zirconia-Reinforced Lithium Silicate Ceramic Restorations Using a Complete Digital Workflow by Sven Rinke, Matthias Rödiger, Dirk Ziebolz, Anne-Kathrin Schmidt

    Published 2015-01-01
    “…This case report describes the fabrication of monolithic all-ceramic restorations using zirconia-reinforced lithium silicate (ZLS) ceramics. The use of powder-free intraoral scanner, generative fabrication technology of the working model, and CAD/CAM of the restorations in the dental laboratory allows a completely digitized workflow. …”
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  6. 146

    Quality Classification of Lithium Battery in Microgrid Networks Based on Smooth Localized Complex Exponential Model by Zhelin Huang, Fangfang Yang

    Published 2021-01-01
    “…Accurate prediction of battery quality using early-cycle data is critical for battery, especially lithium battery in microgrid networks. To effectively predict the lifetime of lithium-ion batteries, a time series classification method is proposed that classifies batteries into high-lifetime and low-lifetime groups using features extracted from early-cycle charge-discharge data. …”
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    Mechanical Properties and Shrinkage of Ultrahigh-Performance Concrete Containing Lithium Carbonate and Nano-Calcium Carbonate by Tingyu Wang, Jianqing Gong, Bo Chen, Xiao Gong, Wanli Guo, Yang Zhang, Falei Li

    Published 2021-01-01
    “…The work contained in this paper focused on evaluating the effects of lithium carbonate (Li2CO3, denoted as LC) and nano-calcium carbonate (NC) on the early mechanical properties and autogenous shrinkage of UHPC under normal temperature curing conditions. …”
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    Photorefractive and pyroelectric photonic memory and long-term stability in thin-film lithium niobate microresonators by Xinyi Ren, Chun-Ho Lee, Kaiwen Xue, Shaoyuan Ou, Yue Yu, Zaijun Chen, Mengjie Yu

    Published 2025-01-01
    “…Photonic memory is useful for low-energy optical computing and interconnects. Thin-film lithium niobate (TFLN), an emerging photonic platform, exhibits complex material properties including pyroelectric and photorefractive effects which could cause intra-device drift and excess noise under different conditions and enable photonic memory. …”
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    State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks by Li Zhang, Min Zheng, Dajun Du, Yihuan Li, Minrui Fei, Yuanjun Guo, Kang Li

    Published 2020-01-01
    “…Lithium-ion batteries have been widely used as energy storage systems and in electric vehicles due to their desirable balance of both energy and power densities as well as continual falling price. …”
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    Lithium and Valproate Levels Do Not Correlate with Ketamine’s Antidepressant Efficacy in Treatment-Resistant Bipolar Depression by Annie J. Xu, Mark J. Niciu, Nancy B. Lundin, David A. Luckenbaugh, Dawn F. Ionescu, Erica M. Richards, Jennifer L. Vande Voort, Elizabeth D. Ballard, Nancy E. Brutsche, Rodrigo Machado-Vieira, Carlos A. Zarate

    Published 2015-01-01
    “…Ketamine and lithium both inhibit glycogen synthase kinase 3. In addition, lithium and ketamine have synergistic antidepressant-like effects at individually subeffective doses in rodents. …”
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