摘要翻译：
众所周知，锂离子电池电极的微观结构对其性能有很大的影响。反之亦然，由于老化的影响，电池的微结构在使用过程中会出现强烈的变化。为了更好地理解这些影响，数学分析和建模已经证明是很有帮助的。特别是，随机三维微结构模型已经被证明是一个强大和非常灵活的工具来生成各种基于颗粒的结构。最近，锂离子电池阳极微结构的模型已经被提出。在本文中，我们描述了锂离子电池阴极三维微结构的随机建模方法，它与阳极观察到的有很大不同。阴极数据的模型增强了阳极模型的思想，而阳极模型已经发展到目前为止。它是用来自原始和两个老化阴极的三维断层图像数据进行校准的。基于形态学图像特征的验证表明，该模型能够真实地描述原始阴极和老化阴极的微观结构。因此，我们得出结论，该模型适合于生成虚拟的但真实的锂离子阴极微观结构。
---
英文标题：
《Stochastic model for the 3D microstructure of pristine and cyclically
  aged cathodes in Li-ion batteries》
---
作者：
Klaus Kuchler and Daniel Westhoff and Julian Feinauer and Tim Mitsch
  and Ingo Manke and Volker Schmidt
---
最新提交年份：
2018
---
分类信息：

一级分类：Physics        物理学
二级分类：Materials Science        材料科学
分类描述：Techniques, synthesis, characterization, structure.  Structural phase transitions, mechanical properties, phonons. Defects, adsorbates, interfaces
技术，合成，表征，结构。结构相变，力学性质，声子。缺陷，吸附质，界面
--
一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
--
一级分类：Physics        物理学
二级分类：Applied Physics        应用物理学
分类描述：Applications of physics to new technology, including electronic devices, optics, photonics, microwaves, spintronics, advanced materials, metamaterials, nanotechnology, and energy sciences.
物理学在新技术中的应用，包括电子器件、光学、光子学、微波、自旋电子学、先进材料、超材料、纳米技术和能源科学。
--

---
英文摘要：
  It is well-known that the microstructure of electrodes in lithium-ion batteries strongly affects their performance. Vice versa, the microstructure can exhibit strong changes during the usage of the battery due to aging effects. For a better understanding of these effects, mathematical analysis and modeling has turned out to be of great help. In particular, stochastic 3D microstructure models have proven to be a powerful and very flexible tool to generate various kinds of particle-based structures. Recently, such models have been proposed for the microstructure of anodes in lithium-ion energy and power cells. In the present paper, we describe a stochastic modeling approach for the 3D microstructure of cathodes in a lithium-ion energy cell, which differs significantly from the one observed in anodes. The model for the cathode data enhances the ideas of the anode models, which have been developed so far. It is calibrated using 3D tomographic image data from pristine as well as two aged cathodes. A validation based on morphological image characteristics shows that the model is able to realistically describe both, the microstructure of pristine and aged cathodes. Thus, we conclude that the model is suitable to generate virtual, but realistic microstructures of lithium-ion cathodes.
---
PDF链接：
https://arxiv.org/pdf/1710.02051