Efficient construction of heterogeneous scientific battery databases via a distilled dual-model framework

Key Points

• The framework enables efficient integration of heterogeneous data, optimizing battery research outcomes.
• Key evidence includes significant reduction in database construction time by over 30% compared to traditional methods.
• Observational analysis across multiple platforms showcases the dual-model framework's adaptability.
• Improved handling of diverse data types may significantly accelerate advancements in battery technology.