Papers citing Materials space of solid-state electrolytes: unraveling chemical composition–structure–ionic conductivity relationships in garnet-type metal oxides using cheminformatics virtual screening approaches

1. Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

   Advanced Energy Materials · 2025

   Kwang S. Kim

   Read original paper ↗ · Show in map

2. Applications and Advances of Machine Learning in the Development of Solid-State Electrolytes for Lithium-Ion Batteries

   ACS Omega · 2025

   Tiantian Gao, Yufeng Wu

   Read original paper ↗ · Show in map

3. Ga-stabilized LLZO: A comprehensive review of structural stability, ionic conductivity, and co-doping strategies

   Materials Today Energy · 2026

   Zakaria Kharbouch, Mohamed Chakir, Ilias Belharouak, Abdessamad Faik

   Read original paper ↗ · Show in map