 |
Journal articles
Towards an atomistic understanding of disordered carbon electrode materials
Abstract : Disordered nanoporous and ''hard'' carbons are widely used in batteries and supercapacitors, but their atomic structures are poorly determined. Here, we combine machine learning and DFT to obtain new atomistic insight into carbonaceous energy materials. We study structural models of porous and graphitic carbons, and Na intercalation as relevant for sodium-ion batteries.
Cited literature [44 references]
https://hal.archives-ouvertes.fr/hal-01985588
Contributor : Céline Merlet <>
Submitted on : Monday, January 28, 2019 - 10:22:09 AM
Last modification on : Wednesday, April 14, 2021 - 3:50:03 PM
Long-term archiving on: : Monday, April 29, 2019 - 12:22:52 PM
Contributor : Céline Merlet <>
Submitted on : Monday, January 28, 2019 - 10:22:09 AM
Last modification on : Wednesday, April 14, 2021 - 3:50:03 PM
Long-term archiving on: : Monday, April 29, 2019 - 12:22:52 PM
File
Deringer18.pdf
Publication funded by an institution