Stochastic 3D modeling of the microstructure of lithium-ion battery anodes via Gaussian random fields on the sphere-Reference-Cited by-同舟云学术

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Stochastic 3D modeling of the microstructure of lithium-ion battery anodes via Gaussian random fields on the sphere

Published:2015-11 Issue: Volume:109 Page:137-146
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Feinauer Julian,Brereton Tim,Spettl Aaron,Weber Matthias,Manke Ingo,Schmidt Volker

Funder

Bundesministerium für Bildung und Forschung (BMBF)

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference58 articles.

1. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications

2. Capacity Fade Mechanisms and Side Reactions in Lithium‐Ion Batteries

3. Main aging mechanisms in Li ion batteries

4. Studies on Charging Lithium-Ion Cells at Low Temperatures

5. Ageing mechanisms in lithium-ion batteries

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2. Lithium Redistribution Mechanism within Silicon-Graphite Electrodes: Multi-Method Approach and Method Validation;Journal of The Electrochemical Society;2024-07-01

3. A Generative Machine Learning Model for the 3d Reconstruction of Material Microstructure and Performance Evaluation;2024

4. 3D Heterogeneous Model for Electrodes in Lithium-Ion Batteries and Its Application to a Modified Continuum Model;Batteries;2023-05-29

5. Image-based 3D characterization and reconstruction of heterogeneous battery electrode microstructure;Computational Materials Science;2023-04

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