Progna Banerjee

Active-Learning Discovery of Superionic Compositions Using High-Throughput EIS and Structure-Aware Descriptors

We introduce an active-learning framework that closes the loop between high-throughput EIS measurements and structure-aware composition descriptors to discover superionic candidates under realistic processing constraints. Starting from a small seed set, Gaussian-process and tree-based models propose batched experiments...