TY - JOUR
T1 - Visualization of Structural Heterogeneities in Particles of Lithium Nickel Manganese Oxide Cathode Materials by Ptychographic X-ray Absorption Fine Structure
AU - Uematsu, Hideshi
AU - Ishiguro, Nozomu
AU - Abe, Masaki
AU - Takazawa, Shuntaro
AU - Kang, Jungmin
AU - Hosono, Eiji
AU - Nguyen, Nguyen Duong
AU - Dam, Hieu Chi
AU - Okubo, Masashi
AU - Takahashi, Yukio
N1 - Funding Information:
This work was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (Grant Nos. JP18H05253, JP19H05814, JP19H05815, JP19H05816, and JP20K15375). It was also supported in part by the “Dynamic Alliance for Open Innovation Bridging Human, Environment and Materials” project from the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT).
Publisher Copyright:
© 2021 American Chemical Society
PY - 2021
Y1 - 2021
N2 - A heterogeneous phase/structure distribution in the bulk of spinel lithium nickel manganese oxides (LNMOs) is the key to maximizing the performance and stability of the cathode materials of lithium-ion batteries. Herein, we report the use of two-dimensional ptychographic X-ray absorption fine structure (XAFS) to visualize the density and valence maps of manganese and nickel in as-prepared LNMO particles and unsupervised learning to classify the three-phase group in terms of different elemental compositions and chemical states. The described approach may increase the supply of information for nanoscale characterization and promote the design of suitable structural domains to maximize the performance and stability of batteries.
AB - A heterogeneous phase/structure distribution in the bulk of spinel lithium nickel manganese oxides (LNMOs) is the key to maximizing the performance and stability of the cathode materials of lithium-ion batteries. Herein, we report the use of two-dimensional ptychographic X-ray absorption fine structure (XAFS) to visualize the density and valence maps of manganese and nickel in as-prepared LNMO particles and unsupervised learning to classify the three-phase group in terms of different elemental compositions and chemical states. The described approach may increase the supply of information for nanoscale characterization and promote the design of suitable structural domains to maximize the performance and stability of batteries.
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U2 - 10.1021/acs.jpclett.1c01445
DO - 10.1021/acs.jpclett.1c01445
M3 - Article
C2 - 34137620
AN - SCOPUS:85109354566
SN - 1948-7185
VL - 12
SP - 5781
EP - 5788
JO - Journal of Physical Chemistry Letters
JF - Journal of Physical Chemistry Letters
ER -