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Data for "Transferring Chemical and Energetic Knowledge Between Molecular Systems With Machine Learning" - MaRDI portal

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Data for "Transferring Chemical and Energetic Knowledge Between Molecular Systems With Machine Learning" (Q6705104)

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Dataset published at Zenodo repository.
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Data for "Transferring Chemical and Energetic Knowledge Between Molecular Systems With Machine Learning"
Dataset published at Zenodo repository.

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    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 fortrialanine -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 thevan der Waals forces between pairs of atoms. - coulomb: describing theCoulomb forces between pairs of atoms.
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    7 November 2022
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    1.0.0
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