48 citations · 100 across the 4 of their papers we have counts for
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cond-mat.soft2018★ 48 cited
A classical density functional from machine learning and a convolutional neural network
Shang-Chun Lin, Martin Oettel
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…
cond-mat.soft2018★ 9 cited
Phase diagrams and crystal-fluid surface tensions in additive and nonadditive two-dimensional hard disk mixtures
Shang-Chun Lin, Martin Oettel
Using density functionals from fundamental measure theory, phase diagrams and crystal-fluid surface tensions in additive and nonadditive (Asakura-Oosawa model) two-dimensional hard…