A classical density functional from machine learning and a convolutional neural network
We use machine learning methods to approximate a classical density functional. As a study case, we choose the model problem of a Lennard Jones fluid in one dimension where there is no exact solution available and training data sets must be obtained from simulations. After separating the excess fr...
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| Format: | Article |
| Language: | English |
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SciPost
2019-02-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.6.2.025 |