The Electrolyte Genome project: A big data approach in battery materials discovery
By X. Qu, A. Jain, Nav Nidhi Rajput, Lei Cheng, Yong Zhang, Shyue Ping Ong, Miriam Brafman, E. Maginn, Larry A. Curtiss, Kristin A. Persson. 2015
180 citations recorded by the source corpus.
Subfields: Catalysis, Computational Theory and Mathematics, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/ec8c7560743c8c9906d98f30cef30f5888aafe30
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Catalysis
In Computational Theory and Mathematics
In Materials Chemistry
- Shyue Ping Ong
- Kristin A. Persson
- Anubhav Jain
- Geoffroy Hautier
- Sanket Kadam
- Yue Qi
- Hong Li
- Gian-Marco Rignanese
Citations in the corpus
- FireWorks: a dynamic workflow system designed for high‐throughput applications (2015, background): “Further examples of FireWorks usage for the Electrolyte Genome will be presented in refs [31], [32].”
- Review on modeling of the anode solid electrolyte interphase (SEI) for lithium-ion batteries (2018, background): “Additionally, in order to satisfy advanced batteries with high potential electrode materials, new electrolytes with a wider electrochemical window are being explored computationally.(152) At the same time, electrode materials are being computationally screened according to their energy density and s”