Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing

16 May 2018V. V. VesselinovM. K. MudunuruS. KarraD. O. MalleyB. S. Alexandrov

Analysis of reactive-diffusion simulations requires a large number of independent model runs. For each high-fidelity simulation, inputs are varied and the predicted mixing behavior is represented by changes in species concentration... (read more)

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