Data for "Transferring Chemical and Energetic Knowledge Between Molecular Systems With Machine Learning"
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https://zenodo.org/record/7299775
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资源简介:
Data used in the paper "Transferring Chemical and Energetic Knowledge Between Molecular Systems With Machine Learning."
The following is a description of each file:
- ala_dipep_full.zip contains the JSON files for alanine dipeptide
- ala_dipep_full.txt contains the free energy values for alanine dipeptide
- trialanine.zip contains the JSON files for trialanine
- trialanine.txt contains the free energy values for trialanine
- decaalanine.zip contains the JSON files for decaalanine, broken into groups
Each JSON file contains the following properties:
- atom_types: describing the short strings used for various types of atoms via their mass and radius.
- atoms: describing each individual atom, with their type via the short string in atom_types, their partial charge, and coordinates.
- angles: describing the angles formed between three atoms, their atom indices, as well as their angular value.
- dihedrals: describing the dihedrals formed between four atoms, their atom indices, as well as their dihedral value.
- bonds: describing the existence of pairwise bonds between atoms via a binary number.
- van_der_waals: describing the van der Waals forces between pairs of atoms.
- coulomb: describing the Coulomb forces between pairs of atoms.
创建时间:
2022-11-08



