• A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes while revealing the chemical principles that govern them, providing engineers with a new tool for designing better batteries.
Article Summaries:
- Cornell researchers have unveiled an artificial‑intelligence framework that can accurately predict the performance of lithium‑ion battery electrolytes while simultaneously uncovering the underlying chemical principles that drive high conductivity. Trained on extensive experimental data, the model identifies key molecular features influencing ion transport and stability. By revealing these relationships, the tool offers engineers a systematic approach to design electrolytes with improved conductivity and safety. The framework represents a step toward more efficient, data‑driven battery development and could accelerate the deployment of next‑generation energy‑storage technologies.
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