Search Results - "Toth, David W."

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  1. 1

    The TensorMol-0.1 model chemistry: a neural network augmented with long-range physics by Yao, Kun, Herr, John E, Toth, David W, Mckintyre, Ryker, Parkhill, John

    Published in Chemical science (Cambridge) (28-02-2018)
    “…Traditional force fields cannot model chemical reactivity, and suffer from low generality without re-fitting. Neural network potentials promise to address…”
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    Journal Article
  2. 2

    The Use of Cultural Competency in Decreasing Diabetes Outcomes Disparities in a Community Health Care Setting by Toth, David W, Vittini, Radairy M

    Published in Journal of the Endocrine Society (03-05-2021)
    “…Abstract In the United States, the prevalence of diabetes in the Latnix population is roughly 70% higher than in non-Latinx whites. Along with this, many…”
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    Journal Article
  3. 3

    The TensorMol-0.1 model chemistry: a neural network augmented with long-range physicsElectronic supplementary information (ESI) available. See DOI: 10.1039/c7sc04934j by Yao, Kun, Herr, John E, Toth, David W, Mckintyre, Ryker, Parkhill, John

    Published 21-02-2018
    “…Traditional force fields cannot model chemical reactivity, and suffer from low generality without re-fitting. Neural network potentials promise to address…”
    Get full text
    Journal Article
  4. 4

    The TensorMol-0.1 model chemistry: a neural network augmented with long-range physics† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c7sc04934j by Yao, Kun, Herr, John E., Toth, David W., Mckintyre, Ryker, Parkhill, John

    Published in Chemical science (Cambridge) (18-01-2018)
    “…We construct a robust chemistry consisting of a nearsighted neural network potential, TensorMol-0.1, with screened long-range electrostatic and van der Waals…”
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    Journal Article
  5. 5

    The TensorMol-0.1 Model Chemistry: a Neural Network Augmented with Long-Range Physics by Yao, Kun, Herr, John E, Toth, David W, Mcintyre, Ryker, Parkhill, John

    Published 16-11-2017
    “…Traditional force-fields cannot model chemical reactivity, and suffer from low generality without re-fitting. Neural network potentials promise to address…”
    Get full text
    Journal Article