AI Article Synopsis
- Improving composite battery electrodes requires careful control of materials and electrode formulation, as active particles interact with a conductive network to function effectively.
- A network evolution model was developed to analyze how the electrochemical activity of particles relates to mechanical damage, using extensive statistical analysis of thousands of particles from a specific lithium-based cathode.
- The findings reveal that local differences in the network lead to initial asynchronous behaviors in particle activity, which evolve to synchronous behavior, providing insights for better conductive network designs for optimal particle performance.
Article Abstract
Improving composite battery electrodes requires a delicate control of active materials and electrode formulation. The electrochemically active particles fulfill their role as energy exchange reservoirs through interacting with the surrounding conductive network. We formulate a network evolution model to interpret the regulation and equilibration between electrochemical activity and mechanical damage of these particles. Through statistical analysis of thousands of particles using x-ray phase contrast holotomography in a LiNiMnCoO-based cathode, we found that the local network heterogeneity results in asynchronous activities in the early cycles, and subsequently the particle assemblies move toward a synchronous behavior. Our study pinpoints the chemomechanical behavior of individual particles and enables better designs of the conductive network to optimize the utility of all the particles during operation.
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| http://dx.doi.org/10.1126/science.abm8962 | DOI Listing |
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