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In this work, we combine machine\u2010learned interatomic potential molecular dynamics (MLIP\u2013MD) simulations with a machine\u2013learning phase identification framework to resolve kinetically formed SEI phases at the Li\n                    <jats:sub>6<\/jats:sub>\n                    PS\n                    <jats:sub>5\u2010x<\/jats:sub>\n                    ClO\n                    <jats:sub>x<\/jats:sub>\n                    | Li interface and to elucidate the role of oxygen doping. Our simulations reveal that the dominant SEI formed at both the undoped and oxygen\u2010doped interfaces is a Li\n                    <jats:sub>2<\/jats:sub>\n                    S\n                    <jats:sub>1\u2010x\u2010y<\/jats:sub>\n                    P\n                    <jats:sub>0.5x<\/jats:sub>\n                    Cl\n                    <jats:sub>0.5x<\/jats:sub>\n                    O\n                    <jats:sub>y<\/jats:sub>\n                    phase, corresponding to an anion\u2010substituted Li\n                    <jats:sub>2<\/jats:sub>\n                    S structure. Moderate oxygen incorporation into the SEI enhances ionic conductivity, whereas excessive oxygen doping degrades both bulk electrolyte conductivity and SEI thermodynamic stability. This trade\u2010off provides an atomistic explanation for the experimentally observed non\u2010monotonic dependence of interfacial performance on oxygen content.\n                  <\/jats:p>","DOI":"10.1002\/advs.76563","type":"journal-article","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T12:12:06Z","timestamp":1783944726000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen\u2010Doped Li\n                    <sub>6<\/sub>\n                    PS\n                    <sub>5<\/sub>\n                    Cl"],"prefix":"10.1002","volume":"13","author":[{"given":"Sojeong","family":"Yang","sequence":"first","affiliation":[{"name":"Computational Science Research Center Korea Institute of Science and Technology (KIST)  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sungwoo","family":"Kang","sequence":"additional","affiliation":[{"name":"Computational Science Research Center Korea Institute of Science and Technology (KIST)  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atefeh","family":"Yadegarifard","sequence":"additional","affiliation":[{"name":"Computational Science Research Center Korea Institute of Science and Technology (KIST)  Seoul Republic of Korea"},{"name":"Nanoscience and Technology KIST School University of Science and Technology  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyun\u2010Jae","family":"Lee","sequence":"additional","affiliation":[{"name":"Computational Science Research Center Korea Institute of Science and Technology (KIST)  Seoul Republic of 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