Matches in SemOpenAlex for { <https://semopenalex.org/work/W2347200048> ?p ?o ?g. }
- W2347200048 endingPage "210" @default.
- W2347200048 startingPage "203" @default.
- W2347200048 abstract "Abstract To understand the origin of the cycling performance improvement observed in lithium-sulfur (Li–S) batteries based on N-doped carbon materials, the interactions between lithium polysulfides (LiPSs) and N-doped graphene (N-G) with different doping configurations have been investigated by density functional theory calculations. It has been found that only N-G with clustered pyridinic N-dopants can strongly attract LiPSs with large enough binding energies to effectively anchor the soluble LiPSs, due to (i) an enhanced attraction between Li ions in LiPSs and pyridinic N-dopants and/or (ii) an additional attraction between S anions in LiPSs and Li ions captured by pyridinic N-dopants. This study has, for the first time, provided a fundamental understanding on the origin of the effective anchoring of LiPSs by N-doped carbon materials, which suppresses the shuttling of LiPSs and produces significant improvement in the cycling performance of Li–S batteries. These findings can also guide the design of more effective N-doped carbons or other N-rich materials for Li–S batteries, preventing the undesirable LiPS shuttling." @default.
- W2347200048 created "2016-06-24" @default.
- W2347200048 creator A5038525118 @default.
- W2347200048 creator A5042754358 @default.
- W2347200048 creator A5055768799 @default.
- W2347200048 creator A5065136537 @default.
- W2347200048 creator A5068080851 @default.
- W2347200048 creator A5085267258 @default.
- W2347200048 date "2016-07-01" @default.
- W2347200048 modified "2023-10-16" @default.
- W2347200048 title "Understanding the interactions between lithium polysulfides and N-doped graphene using density functional theory calculations" @default.
- W2347200048 cites W1158182481 @default.
- W2347200048 cites W1501311566 @default.
- W2347200048 cites W1503411567 @default.
- W2347200048 cites W1516096145 @default.
- W2347200048 cites W1765089228 @default.
- W2347200048 cites W1887039482 @default.
- W2347200048 cites W1899786082 @default.
- W2347200048 cites W1942726663 @default.
- W2347200048 cites W1969637192 @default.
- W2347200048 cites W1970127494 @default.
- W2347200048 cites W1971536300 @default.
- W2347200048 cites W1974789788 @default.
- W2347200048 cites W1975004366 @default.
- W2347200048 cites W1976452436 @default.
- W2347200048 cites W1976560488 @default.
- W2347200048 cites W1978659078 @default.
- W2347200048 cites W1978990849 @default.
- W2347200048 cites W1979544533 @default.
- W2347200048 cites W1981368803 @default.
- W2347200048 cites W1984687623 @default.
- W2347200048 cites W1988357299 @default.
- W2347200048 cites W1990579090 @default.
- W2347200048 cites W1993522430 @default.
- W2347200048 cites W1994103998 @default.
- W2347200048 cites W1994865125 @default.
- W2347200048 cites W1998152960 @default.
- W2347200048 cites W2000484830 @default.
- W2347200048 cites W2000536749 @default.
- W2347200048 cites W2000803313 @default.
- W2347200048 cites W2001883252 @default.
- W2347200048 cites W2002487156 @default.
- W2347200048 cites W2007183639 @default.
- W2347200048 cites W2007328737 @default.
- W2347200048 cites W2010208460 @default.
- W2347200048 cites W2013572715 @default.
- W2347200048 cites W2015321871 @default.
- W2347200048 cites W2015353285 @default.
- W2347200048 cites W2022085321 @default.
- W2347200048 cites W2022917610 @default.
- W2347200048 cites W2025110867 @default.
- W2347200048 cites W2031797105 @default.
- W2347200048 cites W2032570058 @default.
- W2347200048 cites W2032740970 @default.
- W2347200048 cites W2034549613 @default.
- W2347200048 cites W2038726293 @default.
- W2347200048 cites W2049371568 @default.
- W2347200048 cites W2058159282 @default.
- W2347200048 cites W2063247997 @default.
- W2347200048 cites W2064806669 @default.
- W2347200048 cites W2066347605 @default.
- W2347200048 cites W2067661850 @default.
- W2347200048 cites W2068771844 @default.
- W2347200048 cites W2071955309 @default.
- W2347200048 cites W2083222334 @default.
- W2347200048 cites W2087001279 @default.
- W2347200048 cites W2087646097 @default.
- W2347200048 cites W2089961265 @default.
- W2347200048 cites W2108118782 @default.
- W2347200048 cites W2111945526 @default.
- W2347200048 cites W2115659326 @default.
- W2347200048 cites W2124235175 @default.
- W2347200048 cites W2125658152 @default.
- W2347200048 cites W2157202716 @default.
- W2347200048 cites W2158043072 @default.
- W2347200048 cites W2182696701 @default.
- W2347200048 cites W2192040133 @default.
- W2347200048 cites W2307113677 @default.
- W2347200048 cites W2314151170 @default.
- W2347200048 cites W2324704560 @default.
- W2347200048 cites W2326971056 @default.
- W2347200048 cites W2334486484 @default.
- W2347200048 cites W2482083820 @default.
- W2347200048 cites W2514282703 @default.
- W2347200048 doi "https://doi.org/10.1016/j.nanoen.2016.04.053" @default.
- W2347200048 hasPublicationYear "2016" @default.
- W2347200048 type Work @default.
- W2347200048 sameAs 2347200048 @default.
- W2347200048 citedByCount "324" @default.
- W2347200048 countsByYear W23472000482016 @default.
- W2347200048 countsByYear W23472000482017 @default.
- W2347200048 countsByYear W23472000482018 @default.
- W2347200048 countsByYear W23472000482019 @default.
- W2347200048 countsByYear W23472000482020 @default.
- W2347200048 countsByYear W23472000482021 @default.
- W2347200048 countsByYear W23472000482022 @default.
- W2347200048 countsByYear W23472000482023 @default.
- W2347200048 crossrefType "journal-article" @default.