Matches in SemOpenAlex for { <https://semopenalex.org/work/W2610127160> ?p ?o ?g. }
- W2610127160 endingPage "9136" @default.
- W2610127160 startingPage "9130" @default.
- W2610127160 abstract "Lithium-sulfur (Li-S) batteries are, in theory, considering their basic reactions, very promising from a specific energy density point of view, but have poor power rate capabilities. The dissolution of sulfur from the C/S cathode in the electrolyte is a rate-determining and crucial step for the functionality. To date, time-consuming experimental methods, such as HPLC/UV, have been used to quantify the corresponding solubilities. Here, we use a computational fluid-phase thermodynamics approach, the conductor-like screening model for real solvents (COSMO-RS), to compute the solubilities of sulfur in different binary and ternary electrolytes. By using both explicit and implicit solvation approaches for lithium bistrifluoromethanesulfonimidate (LiTFSI)-containing electrolytes, a deviation of <0.4 log units was achieved with respect to experimental data, within the range of experimental error, thus proving COSMO-RS to be a useful tool for exploring novel Li-S battery electrolytes." @default.
- W2610127160 created "2017-05-05" @default.
- W2610127160 creator A5011331375 @default.
- W2610127160 creator A5025962179 @default.
- W2610127160 date "2017-06-19" @default.
- W2610127160 modified "2023-09-26" @default.
- W2610127160 title "Predicting the Solubility of Sulfur: A COSMO-RS-Based Approach to Investigate Electrolytes for Li-S Batteries" @default.
- W2610127160 cites W1604186570 @default.
- W2610127160 cites W167499909 @default.
- W2610127160 cites W1964931804 @default.
- W2610127160 cites W1979663115 @default.
- W2610127160 cites W1984474008 @default.
- W2610127160 cites W1988822611 @default.
- W2610127160 cites W1989858024 @default.
- W2610127160 cites W2002677591 @default.
- W2610127160 cites W2004683913 @default.
- W2610127160 cites W2014572500 @default.
- W2610127160 cites W2024906157 @default.
- W2610127160 cites W2026484842 @default.
- W2610127160 cites W2028022118 @default.
- W2610127160 cites W2030687437 @default.
- W2610127160 cites W2042460654 @default.
- W2610127160 cites W2046229956 @default.
- W2610127160 cites W2058210956 @default.
- W2610127160 cites W2058366757 @default.
- W2610127160 cites W2061011942 @default.
- W2610127160 cites W2073328513 @default.
- W2610127160 cites W2085439752 @default.
- W2610127160 cites W2086957099 @default.
- W2610127160 cites W2096308525 @default.
- W2610127160 cites W2125243015 @default.
- W2610127160 cites W2135038046 @default.
- W2610127160 cites W2156527896 @default.
- W2610127160 cites W2159766137 @default.
- W2610127160 cites W2324961965 @default.
- W2610127160 cites W2325959393 @default.
- W2610127160 cites W2330028599 @default.
- W2610127160 cites W2336953598 @default.
- W2610127160 cites W2340581603 @default.
- W2610127160 cites W2412036863 @default.
- W2610127160 cites W2441667732 @default.
- W2610127160 cites W2496975789 @default.
- W2610127160 cites W2514696998 @default.
- W2610127160 cites W2515237425 @default.
- W2610127160 cites W3100524347 @default.
- W2610127160 cites W369125700 @default.
- W2610127160 cites W4231272265 @default.
- W2610127160 cites W4250754336 @default.
- W2610127160 doi "https://doi.org/10.1002/chem.201701011" @default.
- W2610127160 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28449381" @default.
- W2610127160 hasPublicationYear "2017" @default.
- W2610127160 type Work @default.
- W2610127160 sameAs 2610127160 @default.
- W2610127160 citedByCount "22" @default.
- W2610127160 countsByYear W26101271602017 @default.
- W2610127160 countsByYear W26101271602018 @default.
- W2610127160 countsByYear W26101271602019 @default.
- W2610127160 countsByYear W26101271602020 @default.
- W2610127160 countsByYear W26101271602021 @default.
- W2610127160 countsByYear W26101271602022 @default.
- W2610127160 countsByYear W26101271602023 @default.
- W2610127160 crossrefType "journal-article" @default.
- W2610127160 hasAuthorship W2610127160A5011331375 @default.
- W2610127160 hasAuthorship W2610127160A5025962179 @default.
- W2610127160 hasBestOaLocation W26101271602 @default.
- W2610127160 hasConcept C121332964 @default.
- W2610127160 hasConcept C134018914 @default.
- W2610127160 hasConcept C147789679 @default.
- W2610127160 hasConcept C148093993 @default.
- W2610127160 hasConcept C154881586 @default.
- W2610127160 hasConcept C155574463 @default.
- W2610127160 hasConcept C161790260 @default.
- W2610127160 hasConcept C163258240 @default.
- W2610127160 hasConcept C17525397 @default.
- W2610127160 hasConcept C178790620 @default.
- W2610127160 hasConcept C179104552 @default.
- W2610127160 hasConcept C185592680 @default.
- W2610127160 hasConcept C192562407 @default.
- W2610127160 hasConcept C199360897 @default.
- W2610127160 hasConcept C2775973084 @default.
- W2610127160 hasConcept C2778541603 @default.
- W2610127160 hasConcept C2780471494 @default.
- W2610127160 hasConcept C41008148 @default.
- W2610127160 hasConcept C518881349 @default.
- W2610127160 hasConcept C555008776 @default.
- W2610127160 hasConcept C64452783 @default.
- W2610127160 hasConcept C68801617 @default.
- W2610127160 hasConcept C71924100 @default.
- W2610127160 hasConcept C88380143 @default.
- W2610127160 hasConcept C97355855 @default.
- W2610127160 hasConceptScore W2610127160C121332964 @default.
- W2610127160 hasConceptScore W2610127160C134018914 @default.
- W2610127160 hasConceptScore W2610127160C147789679 @default.
- W2610127160 hasConceptScore W2610127160C148093993 @default.
- W2610127160 hasConceptScore W2610127160C154881586 @default.
- W2610127160 hasConceptScore W2610127160C155574463 @default.
- W2610127160 hasConceptScore W2610127160C161790260 @default.
- W2610127160 hasConceptScore W2610127160C163258240 @default.