December 11, 2020 Dataset Restricted Access

Ellis, J. A.; Cangi, A.; Modine, N. A.; Stephens, J. A.; Thompson, A. P.; Rajamanickam, S.

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    "description": "<p>Output from electronic structure code (Quantum Espresso) that serves as training data for the machine-learning workflow of the related scientific publication (https://arxiv.org/abs/2010.04905).</p>", 
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    "title": "Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks", 
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    "creators": [
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        "name": "Ellis, J. A.", 
        "affiliation": "Sandia National Laboratories"
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      {
        "name": "Cangi, A.", 
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf"
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        "name": "Modine, N. A.", 
        "affiliation": "Sandia National Laboratories"
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        "affiliation": "Sandia National Laboratories"
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        "affiliation": "Sandia National Laboratories"
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