Literature-Grounded LLMs for Predicting High Ionic Conductivity Solid-State Electrolytes

Sunngi An, Kunik Jang, Junyoung Choi, Gunwook Nam, Jang Wook Choi, Yousung Jung

Submission Type: I want my submission to be considered for poster only

Keywords: Large Language Model, Solid Electrolyte, All-solid-state battery, screening (HTVS), Molecular Dynamics

TL;DR: We present a literature-grounded, fine-tuned LLM that predicts ionic conductivity of solid-state electrolytes and, combined with HTVS and MLIP-based MD, identifies stable high-conductivity candidates from Materials Project.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 360