Battery Innovation: The Role of Microscopy, Material Analysis and Machine Learning

Machine Learning


As demand for high-performance batteries accelerates, advances in materials, production processes, and quality assurance are important to promote innovation and ensure reliability.


Leading by market leader in microscopy, Zeiss, the webinar begins with a critical role in exploring cutting-edge anodes, cathodes and separator materials and enhancing energy storage capabilities, as well as the key roles of these methods in both upscaling and mass production.


The webinar highlights non-destructive testing using computed tomography (CT) for detailed internal inspections, allowing defect detection without compromising component integrity, and highlights modalities including optical microscopes (LM) and electron microscopes (EM). This combined approach provides unparalleled insight into material structure and impairment mechanisms.


Furthermore, Zeiss' breakthroughs in deep learning and AI image analysis have now transformed these approaches and extracted detailed statistics from images to provide a deeper understanding of the battery development cycle. By integrating these innovations, Zeiss demonstrates how the science of space, production optimization, cutting-edge testing can help next-generation battery technologies meet the demands of a sustainable future. Discover how Zeiss transforms battery production with these innovative technologies


Join Zeiss in this webinar and learn more about how these advances are directly benefiting mining.



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