Work

High-throughput computational screening for solid-state Li-ion conductors

Year: 2020

Type: article

Abstract: Atomistic simulations are employed to screen experimental structural repositories for fast Li-ion conductors, finding new candidate solid-state electrolyte materials.

Source: Energy & Environmental Science

DOI: 10.1039/c9ee02457c

Authors: Leonid Kahle, Aris Marcolongo, Nicola Marzari

Institution: École Polytechnique Fédérale de Lausanne

Language: English

Topic: Advanced Battery Materials and Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Award: The search for low temperature super protonic conductivity

OpenAlex ID: W2971885271

FWCI: 6.664

Cites: 268

Cited by: 141

Related to: 10