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Towards an atomistic understanding of disordered carbon electrode materials
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 graphit...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994876/ https://www.ncbi.nlm.nih.gov/pubmed/29790508 http://dx.doi.org/10.1039/c8cc01388h |
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author | Deringer, Volker L. Merlet, Céline Hu, Yuchen Lee, Tae Hoon Kattirtzi, John A. Pecher, Oliver Csányi, Gábor Elliott, Stephen R. Grey, Clare P. |
author_facet | Deringer, Volker L. Merlet, Céline Hu, Yuchen Lee, Tae Hoon Kattirtzi, John A. Pecher, Oliver Csányi, Gábor Elliott, Stephen R. Grey, Clare P. |
author_sort | Deringer, Volker L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5994876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-59948762018-06-22 Towards an atomistic understanding of disordered carbon electrode materials Deringer, Volker L. Merlet, Céline Hu, Yuchen Lee, Tae Hoon Kattirtzi, John A. Pecher, Oliver Csányi, Gábor Elliott, Stephen R. Grey, Clare P. Chem Commun (Camb) Chemistry 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. Royal Society of Chemistry 2018-06-14 2018-05-23 /pmc/articles/PMC5994876/ /pubmed/29790508 http://dx.doi.org/10.1039/c8cc01388h Text en This journal is © The Royal Society of Chemistry 2018 https://creativecommons.org/licenses/by/3.0/This article is freely available. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (CC BY 3.0) |
spellingShingle | Chemistry Deringer, Volker L. Merlet, Céline Hu, Yuchen Lee, Tae Hoon Kattirtzi, John A. Pecher, Oliver Csányi, Gábor Elliott, Stephen R. Grey, Clare P. Towards an atomistic understanding of disordered carbon electrode materials |
title | Towards an atomistic understanding of disordered carbon electrode materials
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title_full | Towards an atomistic understanding of disordered carbon electrode materials
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title_fullStr | Towards an atomistic understanding of disordered carbon electrode materials
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title_full_unstemmed | Towards an atomistic understanding of disordered carbon electrode materials
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title_short | Towards an atomistic understanding of disordered carbon electrode materials
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title_sort | towards an atomistic understanding of disordered carbon electrode materials |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994876/ https://www.ncbi.nlm.nih.gov/pubmed/29790508 http://dx.doi.org/10.1039/c8cc01388h |
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