Battery Innovation: the role of microscopy, material analysis and machine learning
INFORM Webinar | For anyone interested in Imaging and AI for Battery Innovation
As the demand for high-performance batteries accelerates, advancements in materials, production processes, and quality assurance are critical to driving innovation and ensuring reliability.
This webinar, led by ZEISS, a market leader in microscopy, delves into the journey of battery development, starting with the exploration of cutting-edge anode, cathode and separator materials and their pivotal role in enhancing energy storage capabilities, as well as the important role these methods have in both upscaling and mass manufacturing.
The webinar will emphasise non-destructive testing using computed tomography (CT) for detailed internal inspections, enabling defect detection without compromising component integrity, as well as modalities including light microscopy (LM) and electron microscopy (EM). This combined approach provides unparalleled insights into material structures and failure mechanisms.
Furthermore, ZEISS's breakthroughs in deep learning and AI image analysis have transformed these approaches, enabling the extraction of detailed statistics from images for a deeper understanding of battery development cycles. By integrating these innovations, ZEISS demonstrates how a comprehensive approach—spanning materials science, production optimisation, and state-of-the-art testing—can empower the next generation of battery technologies to meet the demands of a sustainable future. Discover how ZEISS is transforming battery production with these innovative technologies.
Authors
