Toward AI ecosystems for electrolyte and interface engineering in solid-state batteries.

ABSTRACT: Solid-state batteries (SSBs) are pivotal for sustainable energy storage, delivering extended life span, low-temperature resilience, and enhanced safety. However, designing stable solid electrolytes and interfaces in SSBs remains a formidable challenge. As a disruptive catalyst for paradigm shifts spanning materials discovery and energy system redesign, artificial intelligence (AI) is unleashing unprecedented possibilities-could it be the key breakthrough for SSB innovation? Here, we critically review the progress of AI applications in electrolyte and interface engineering, covering key aspects such as stability, conductivity, mechanical properties, and interface resistance. This work emphasizes the integration of cutting-edge modeling strategies, including the materials' screening pipeline

SUBMITTER: Wang Z 

PROVIDER: S-EPMC12652334 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature