Learning crystal field parameters using convolutional neural networks
We present a deep machine learning algorithm to extract crystal field (CF) Stevens parameters from thermodynamic data of rare-earth magnetic materials. The algorithm employs a two-dimensional convolutional neural network (CNN) that is trained on magnetization, magnetic susceptibility and specific...
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| Format: | Article |
| Language: | English |
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SciPost
2021-07-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.11.1.011 |