Join the Panel live to hear insights from leaders across battery manufacturing, academia, and technology innovation.

Resilient battery supply chains require more than access to raw materials. They depend on reliable large-scale supply, rigorous qualification processes, and the flexibility to qualify multiple sourcing options. This flexibility is enabled by consistent, comparable, and operationally efficient quality characterization methods. As battery cell production scales, most cells perform as intended. Yet confidence in new materials, manufacturing approaches, and suppliers is often determined by the ability to identify and understand the rare failures and edge cases that matter most.

Outstanding results in the laboratory or pilot plant are only the beginning of the journey to commercial success. As battery production scales, even minor variations in material chemistry, manufacturing conditions, residual impurities, operating environments, and duty cycles can translate into unexpected performance limitations or failure modes. These edge cases are often difficult to detect using conventional testing approaches, yet they frequently determine the success of supplier qualification, material selection, and large-scale deployment.

The challenge is further amplified in the age of AI and data-driven decision making. While predictive models excel at identifying average trends and expected outcomes, they often struggle to capture rare events and outliers, where the greatest technical and commercial risks may reside.

Bringing together leaders from battery manufacturing, academia, and technology innovation, this panel will provide complementary perspectives on how advanced characterization methods, targeted datasets, uncertainty-aware modeling, accelerated validation strategies, and intelligent software workflows can improve failure diagnostics, qualification confidence, and supply chain resilience.

Attendees will gain practical insights into how complementary analytical technologies, including emerging methods such as NMR, can be integrated into standardized and increasingly automated workflows to uncover what conventional testing may overlook. Designed for battery professionals across the value chain, this session highlights how strategic partnerships and innovative analytical approaches can accelerate supplier qualification, strengthen quality control, and de-risk the path to large-scale battery deployment.