Search Results for author: Arvind Mohan

Found 4 papers, 0 papers with code

Machine Learning technique for isotopic determination of radioisotopes using HPGe $\mathrmγ$-ray spectra

no code implementations4 Jan 2023 Ajeeta Khatiwada, Marc Klasky, Marcie Lombardi, Jason Matheny, Arvind Mohan

$\mathrm{\gamma}$-ray spectroscopy is a quantitative, non-destructive technique that may be utilized for the identification and quantitative isotopic estimation of radionuclides.

Compressed Convolutional LSTM: An Efficient Deep Learning framework to Model High Fidelity 3D Turbulence

no code implementations28 Feb 2019 Arvind Mohan, Don Daniel, Michael Chertkov, Daniel Livescu

High-fidelity modeling of turbulent flows is one of the major challenges in computational physics, with diverse applications in engineering, earth sciences and astrophysics, among many others.

Fluid Dynamics Chaotic Dynamics Computational Physics

From Deep to Physics-Informed Learning of Turbulence: Diagnostics

no code implementations16 Oct 2018 Ryan King, Oliver Hennigh, Arvind Mohan, Michael Chertkov

We describe tests validating progress made toward acceleration and automation of hydrodynamic codes in the regime of developed turbulence by three Deep Learning (DL) Neural Network (NN) schemes trained on Direct Numerical Simulations of turbulence.

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