A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes
We introduce Knowledge-based electrolyte Property prediction Integration (KPI), a knowledge–data dual-driven framework for molecular property prediction of electrolytes. Initially, the KPI collects molecular structures and properties, and then automatically organizes them into structured datasets.
Aug 15, 2024