Concepedia

Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials

Austin D. Sendek, Qian Yang, Ekin D. Cubuk, Karel-Alexander N. Duerloo, Yi Cui, Evan J. Reed

Energy & Environmental Science · 2016 · 432 citations · 91 references

DOI

Concepts

Abstract

We leverage available data and statistical learning methods to perform a holistic screening for promising new solid electrolytes.

References

91

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier et al. · APL Materials · 2013 · 12.7K citations · Full text

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Ageing mechanisms in lithium-ion batteries

Jens Vetter, Petr Novák, M. R. Wagner et al. · Journal of Power Sources · 2005 · 3.8K citations

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Fast Lithium Ion Conduction in Garnet‐Type Li<sub>7</sub>La<sub>3</sub>Zr<sub>2</sub>O<sub>12</sub>

Ramaswamy Murugan, Venkataraman Thangadurai, W. Weppner · Angewandte Chemie International Edition · 2007 · 3.2K citations

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Review of selected electrode–solution interactions which determine the performance of Li and Li ion batteries

Doron Aurbach · Journal of Power Sources · 2000 · 2.1K citations

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Machine-learning-assisted materials discovery using failed experiments

Paul Raccuglia, Katherine C. Elbert, Philip Adler et al. · Nature · 2016 · 1.7K citations

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