Improving Battery Manufacturing with LIMS, AI/ML & Advanced Data Management

Improving Battery Manufacturing with LIMS, AI/ML & Advanced Data Management
[Part three of our Building Better Batteries Webinar Series]

Advanced data management and Laboratory Information Management Systems (LIMS) integration are rapidly reshaping battery R&D and manufacturing by improving traceability, accelerating decision-making, and ensuring consistent quality across the entire production workflow.

This webinar shows how LIMS streamline battery development by centralizing data, assigning sample IDs, integrating instruments, and enabling real-time SPC monitoring. You’ll also learn how AI/ML tools support predictive quality control and anomaly detection, and how Avizo Technology brings together chemical, imaging, and electrochemical data to deliver clearer insights and faster decisions.

🎤 Speakers:
Dr Barry Pearce, BSc, PhD, Strategic Key Accounts Manager, Clean Energy, Thermo Fisher Scientific
Luigi Raspolini, Product Marketing Manager Avizo Software, Thermo Fisher Scientific

Presented as part of the Building Better Batteries Webinar Series, this session highlights how LIMS enhance battery development from sample intake to production-scale decision-making.

This webinar is ideal for professionals working in battery R&D, materials science, cell manufacturing, quality assurance, or data and automation engineering. Whether you’re looking to modernize your workflow or develop a more scalable, future-ready data ecosystem, this session provides practical insights to reduce quality issues, support root-cause analysis, and enhance reliability across the battery value chain.

🔋🔗 Explore the entire Building Better Batteries Webinar Series:
https://events.bizzabo.com/636363?utm...

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This virtual webinar has been made possible through sponsorship from Thermo Fisher Scientific.

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