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        <parTitl xml:lang="en">Data and scripts for "Optical line shapes of color centers in solids from classical autocorrelation functions"</parTitl>
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        <parTitl xml:lang="en">Data and scripts for "Optical line shapes of color centers in solids from classical autocorrelation functions"</parTitl>
        <IDNo agency="SND">doi-10-5281-zenodo-13284739-0</IDNo>
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        <AuthEnty xml:lang="en" affiliation="Chalmers University of Technology">Linderälv, Christopher</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Chalmers University of Technology">Österbacka, Nicklas</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Chalmers University of Technology">Wiktor, Julia</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Chalmers University of Technology">Erhart, Paul</AuthEnty>
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      <abstract xml:lang="en" contentType="abstract">This record contains data and code that accompany the paper "Optical line shapes of color centers in solids from classical autocorrelation functions". Specifically it includea databases in ase sqlite format (*.db) with reference data from density functional theory calculations. These data were used in the construction of the machine-learned potential model using the neuroevolution potential (NEP) methodology. The model (nep.txt) is included in a format suitable for the GPUMD package (https://gpumd.org).

Note that the atom type information in the databases already includes the labeling of the defect environment that is expected by the NEP model, according to the following rules

Si(gs) →  P

C(gs) → N

Si(ex) → S

C(ex) → O

The "bulk" species (Si, C) remain unchanged.</abstract>
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