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Creators/Authors contains: "Moore, William"

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  1. ; ; ; ; ; ( , ACS Applied Nano Materials)
    Free, publicly-accessible full text available April 28, 2024
  2. ; ; ; ; ; ( , Inorganic Chemistry)
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  3. ; ; ; ; ( , Inorganic Chemistry)
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  4. ; ; ; ; ; ; ; ; ( , Physical Review Materials)
  5. ; ; ; ( , Current Opinion in Chemical Biology)
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  6. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review Materials)
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  7. ; ; ( , Organometallics)
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  8. ; ; ; ; ( , Polyhedron)
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  9. ; ; ; ; ( , Theoretical and computational fluid dynamics)
    Fluid flow around a random distribution of stationary spherical particles is a problem of substantial importance in the study of dispersed multiphase flows. In this paper we present a machine learning methodology using Generative Adversarial Network framework and Convolutional Neural Network architecture to recreate particle-resolved fluid flow around a random distribution of monodispersed particles. The model was applied to various Reynolds number and particle volume fraction combinations spanning over a range of [2.69, 172.96] and [0.11, 0.45] respectively. Test performance of the model for the studied cases is very promising. 
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  10. ; ; ; ; ; ; ( , Physical Review Materials)
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