Search Results - "Appleton, Robert J."

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  1. 1

    Mapping microstructure to shock-induced temperature fields using deep learning by Li, Chunyu, Verduzco, Juan Carlos, Lee, Brian H., Appleton, Robert J., Strachan, Alejandro

    Published in npj computational materials (30-09-2023)
    “…The response of materials to shock loading is important to planetary science, aerospace engineering, and energetic materials. Thermally activated processes,…”
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    Journal Article
  2. 2

    Electronic and optical properties of ultrawide bandgap perovskite semiconductors via first principles calculations by Jishi, Radi A., Appleton, Robert J., Guzman, David M.

    Published in Applied physics letters (07-12-2020)
    “…Recent research in ultrawide-bandgap (UWBG) semiconductors has focused on traditional materials such as Ga2O3, AlGaN, AlN, cubic BN, and diamond; however, some…”
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    Journal Article
  3. 3

    Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks by Appleton, Robert J., Salek, Peter, Casey, Alex D., Barnes, Brian C., Son, Steven F., Strachan, Alejandro

    “…Predictive models for the performance of explosives and propellants are important for their design, optimization, and safety. Thermochemical codes can predict…”
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    Journal Article
  4. 4

    Existence of two-dimensional hole gas at the interface of Bi(Zn, Ti)O3/SrTiO3 heterostructures: An ab-initio study by Jishi, Radi A., Hammouri, Mahmoud, Appleton, Robert J.

    Published in Computational materials science (01-04-2022)
    “…We present first-principles calculations for a system consisting of a varying number of layers of the ferroelectric semiconductor Bi(Zn, Ti)O3 (BZT) on top of…”
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    Journal Article
  5. 5

    How accurate is density functional theory at high pressures? by Chen, Ching-Chien, Appleton, Robert J., Nykiel, Kat, Mishra, Saswat, Yao, Shukai, Strachan, Alejandro

    Published in Computational materials science (31-01-2025)
    “…[Display omitted] Density functional theory (DFT) is widely used to study the behavior of materials at high pressures, complementing challenging and often…”
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    Journal Article
  6. 6
  7. 7

    Mapping microstructure to shock-induced temperature fields using deep learning by Li, Chunyu, Verduzco, Juan Carlos, Lee, Brian H, Appleton, Robert J, Strachan, Alejandro

    Published 30-03-2023
    “…The response of materials to dynamical, or shock, loading is important to planetary science, aerospace engineering, and energetic materials. Thermal-activated…”
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    Journal Article
  8. 8

    Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials by Appleton, Robert J, Klinger, Daniel, Lee, Brian H, Taylor, Michael, Kim, Sohee, Blankenship, Samuel, Barnes, Brian C, Son, Steven F, Strachan, Alejandro

    Published 21-08-2024
    “…Data science and artificial intelligence are playing an increasingly important role in the physical sciences. Unfortunately, in the field of energetic…”
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    Journal Article
  9. 9

    Electronic and Optical Properties of Ultrawide Bandgap Perovskite Semiconductors via First Principles Calculations by Jishi, Radi A, Appleton, Robert J, Guzman, David M

    Published 03-09-2020
    “…Recent research in ultrawide-bandgap (UWBG) semiconductors has focused on traditional materials such as Ga2O3, AlGaN, AlN, cubic BN, and diamond; however some…”
    Get full text
    Journal Article