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

223 citations

7 papers

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…

cs.LG2025★ 1 cited

Unsupervised Multi-Clustering and Decision-Making Strategies for 4D-STEM Orientation Mapping

Junhao Cao, Nicolas Folastre, Gozde Oney +4

This study presents a novel integration of unsupervised learning and decision-making strategies for the advanced analysis of 4D-STEM datasets, with a focus on non-negative matrix f…

physics.comp-ph2023★ 31 cited

Computational Model for Predicting Particle Fracture During Electrode Calendering

Jiahui Xu, Brayan Paredes-Goyes, Zeliang Su +4

In the context of calling for low carbon emissions, lithium-ion batteries (LIBs) have been widely concerned as a power source for electric vehicles, so the fundamental science behi…

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…

physics.app-ph2022★ 1 cited

Machine Learning-Assisted Multi-Objective Optimization of Battery Manufacturing from Synthetic Data Generated by Physics-Based Simulations

Marc Duquesnoy, Chaoyue Liu, Diana Zapata Dominguez +3

The optimization of the electrodes manufacturing process constitutes one of the most critical steps to ensure high-quality Lithium-Ion Battery (LIB) cells, in particular for automo…

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…