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| author | David Luevano Alvarado <55825613+luevano@users.noreply.github.com> | 2019-12-08 22:06:21 -0700 |
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| committer | GitHub <noreply@github.com> | 2019-12-08 22:06:21 -0700 |
| commit | 47713ccb6918689cc75272b65635babbece81228 (patch) | |
| tree | b1601a8fb4bb3399de5631a217680f43693bfb80 /README.md | |
| parent | 9736e87a8381da3bb7f0ef5f9b1fe7643600adbe (diff) | |
Create README.md
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| -rw-r--r-- | README.md | 4 |
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diff --git a/README.md b/README.md new file mode 100644 index 000000000..bc46bd26b --- /dev/null +++ b/README.md @@ -0,0 +1,4 @@ +# lj_matrix +This is an exploration of a representation (or descriptor), based on the Lennard-Jones potential, for use in prediction of atomization energies (and possibly other properties) of molecules with Machine Learning (ML). + +An implementation of existing representations, this new representation and most of the ML routine is created from the, mostly, ground up. |