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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...
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| Pubblicato in: | Chem Commun (Camb) |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Royal Society of Chemistry
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5994876/ https://ncbi.nlm.nih.gov/pubmed/29790508 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c8cc01388h |
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