arXiv Machine Learning July 3, 2026 By Sakthi Prabhu Gunasekar, Prasanna Kumar Rangarajan

IonSense-QKG: A Quantum-Readiness Metadata Framework for Lithium-Ion Battery Dataset Discovery

Read the original on arXiv Machine Learning →

arXiv:2607. 01286v1 Announce Type: new Abstract: Public lithium-ion battery datasets are increasingly used for state-of-health estimation, remaining-useful-life prediction, anomaly detection, electrochemical diagnostics, second-life analytics, and battery safety research.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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