Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials

This publication has 39 references indexed in Scilit:

• Alloying effects on superionic conductivity in lithium indium halides for all-solid-state batteries
  APL Materials, 2018
• Li₃Y(PS₄)₂ and Li₅PS₄Cl₂: New Lithium Superionic Conductors Predicted from Silver Thiophosphates using Efficiently Tiered Ab Initio Molecular Dynamics Simulations
  Chemistry of Materials, 2017
• Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials
  Energy & Environmental Science, 2016
• Data-Driven First-Principles Methods for the Study and Design of Alkali Superionic Conductors
  Chemistry of Materials, 2016
• Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
  APL Materials, 2013
• A lithium superionic conductor
  Nature Materials, 2011
• Crystal structure of a superionic conductor, Li7P3S11
  Solid State Ionics, 2007
• Ionic conductivity-enhancement of LiCl by homogeneous and heterogeneous dopings
  Solid State Ionics, 1993
• Recent results on lithium ion conductors
  Electrochimica Acta, 1977
• Inhomogeneous Electron Gas
  Physical Review B, 1964