Surface Properties of LiCoO2 Investigated by XPS Analyses and Theoretical Calculations
Author(s) -
Laurence Dahéron,
Hervé Martinez,
Rémi Dedryvère,
Isabelle Baraille,
Michel Ménétrier,
C. Denage,
Claude Delmas,
D. Gonbeau
Publication year - 2009
Publication title -
the journal of physical chemistry c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 289
eISSN - 1932-7455
pISSN - 1932-7447
DOI - 10.1021/jp803266w
Subject(s) - x ray photoelectron spectroscopy , valence (chemistry) , oxygen , stoichiometry , intercalation (chemistry) , ab initio , lithium (medication) , materials science , binding energy , ion , ab initio quantum chemistry methods , chemistry , analytical chemistry (journal) , crystallography , chemical physics , inorganic chemistry , chemical engineering , atomic physics , molecule , medicine , physics , organic chemistry , chromatography , engineering , endocrinology
International audienceXPS analyses (core peaks and valence spectra), under highly controlled conditions, have been carried out on stoichiometric LiCoO2 and lithium-overstoichiometric Li1+yCo1−yO2−y (y 0.05) materials, with significant changes observed in the oxygen peaks. Indeed, beside the component attributed to the O2− anions of the crystalline network, a second one with variable intensity has been observed on the high binding energy side. With the support of ab initio biperiodical calculations on LiCoO2, we propose that this peculiar oxygen signature is partially associated, for LiCoO2, to undercoordinated oxygen atoms coming from (0 0 1) oriented surfaces. These surface oxygen anions are significantly less negative than the ones of the lattice. These results, in conjunction with SEM analyses for the lithium overstoichiometric material (as prepared and thermally treated), show that the presence of defects (oxygen vacancies) has to also be considered in the overstoichiometric case. As in battery material, all reactions (the intercalation but also the parasitic ones) occur through the surface; characterization of its crystallographic nature (as well as its electronic properties) is a key point to a better understanding and optimization of Li ion batteries
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