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Updated: May 1, 2026

Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques
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Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques

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预测离子电池性能通过表面化学分析和功能化硬碳的纹理特性使用人工智能

Walter M Warren-Vega1, Ana I Zárate-Guzmán1, Francisco Carrasco-Marín2

  • 1Grupo de Investigación en Materiales y Fenómenos de Superficie, Departamento de Biotecnológicas y Ambientales, Universidad Autónoma de Guadalajara, Av. Patria 1201, C.P., Zapopan 45129, Mexico.

Materials (Basel, Switzerland)
|September 14, 2024
PubMed
概括

机器学习使用多种材料特性准确预测离子电池性能. 这种方法优化了从葡萄皮中提取的功能硬碳阳极,以更好地储存能量.

关键词:
在 MATLAB-Simulink 中使用.人工智能的人工智能是人工智能.人工神经网络的人工神经网络储能机制的能量储存机制.机器学习是机器学习.

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Screening of Coatings for an All-Solid-State Battery Using In Situ Transmission Electron Microscopy07:20

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相关概念视频

The Electrical Double Layer01:30

The Electrical Double Layer

In the region where two bulk phases meet, an intricate electric charge distribution arises due to charge transfer, ion adsorption, molecular orientation, and charge distortion. This complex distribution is commonly referred to as the electrical double layer.When a solid electrode interfaces with ions in an electrolyte solution, the speed of electron transfer dictates the rates of oxidation and reduction. The electrode acquires a charge through the escape of atoms into the solution as cations or...
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