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Penn State researchers published findings in Process Safety and Environmental Protection detailing virtual modeling of lithium-ion battery fires in mines. The study combines computational fluid dynamics and deep learning to predict thermal runaway signatures, aiming to improve automated control systems for safety and operational resilience in electrified mining operations.
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