Tag: LiNiO2

1 entry

LiNiO2/NiO Phase Prediction Using Artificial Neural Networks

Materials
Neural networks trained on 4DSTEM diffraction patterns enable rapid identification of LiNiO2 and NiO material phases, providing a computationally efficient approach for analyzing large sets of materials image data.
See LICENSE file Phase Prediction4DSTEM DiffractionNeural Networks

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