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20212025
most citedBridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence

223 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cond-mat.mtrl-sci2025

Nanoscale Mapping of Transition Metal Ordering in Individual LiNi0.5Mn1.5O4 Particles Using 4D-STEM ACOM Technique

Gozde Oney, Fayçal Adrar, Junhao Cao +8

The electrochemical performance of the spinel LiNi0.5Mn1.5O4, a high-voltage positive electrode material for Li-ion batteries, is influenced by the transition metal arrangement in…

cond-mat.mtrl-sci2023★ 6 cited

Improved ACOM pattern matching in 4D STEM through adaptive sub pixel peak detection and image reconstruction

Nicolas Folastre, Junhao Cao, Gozde Oney +7

The technique known as 4D-STEM has recently emerged as a powerful tool for the local characterization of crystalline structures in materials, such as cathode materials for Li-ion b…

cond-mat.mtrl-sci2022★ 14 cited

The Impact of Inter-grain Phases on the Ionic Conductivity of LAGP Solid Electrolyte Prepared by Spark Plasma Sintering

Sorina Cretu, David G. Bradley, Omer Ulas Kudu +9

Li1.5Al0.5Ge1.5(PO4)3 (LAGP) is a promising oxide solid electrolyte for all-solid-state batteries due to its excellent air stability, wide electrochemical stability window and cost…

cond-mat.mtrl-sci2021★ 223 cited

Bridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence

Jonathan Scharf, Mehdi Chouchane, Donal P. Finegan +11

X-ray Computed Tomography (X-ray CT) is a well-known non-destructive imaging technique where contrast originates from the materials' absorption coefficients. Novel battery characte…