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I. Abate

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Jul 2026

AI-Guided High-Throughput and Uncertainty-Aware Discovery of Stable Na-Ion Cathodes

This work established Monte Carlo (MC) Dropout–based multilayer perceptron (MLP) models to predict key electrochemical metrics such as initial capacity and long-term retention from high-dimensional descriptors encompassing composition, structure, and processing features, and demonstrates an iterative human-AI loop.

Shipeng Jia, I. Abate · 0 citations