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Identifying the Origins of Microstructural Defects Such as Cracking within Ni‐Rich NMC811 Cathode Particles for Lithium‐Ion Batteries - Heenan - 2020 - Advanced Energy Materials - Wiley Online Library
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Computer‐Vision‐Based Approach to Classify and Quantify Flaws in Li‐Ion Electrodes - Daemi - 2022 - Small Methods - Wiley Online Library
Reset Voltage-Dependent Multilevel Resistive Switching Behavior in CsPb1–xBixI3 Perovskite-Based Memory Device | ACS Applied Materials & Interfaces
Multi‐Dimensional Characterization of Battery Materials - Ziesche - 2023 - Advanced Energy Materials - Wiley Online Library
A deep convolutional neural network for real-time full profile analysis of big powder diffraction data | npj Computational Materials
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A deep convolutional neural network for real-time full profile analysis of big powder diffraction data | npj Computational Materials
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Coatings | Free Full-Text | Highly Efficient Photocathodic Protection Performance of ZIS@CNNs Composites under Visible Light
MoS2-based core-shell nanostructures: Highly efficient materials for energy storage and conversion applications - ScienceDirect
NiBr2-Treated CsPbI3 Nanocrystals with Stability and Tunable Bright Luminescence for Light-Emitting Devices | ACS Applied Nano Materials
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PDF) A scalable neural network architecture for self-supervised tomographic image reconstruction
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Z-scheme systems: From fundamental principles to characterization, synthesis, and photocatalytic fuel-conversion applications - ScienceDirect
