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Akil Narayan

University of Utah - Department of Mathematics

Salt Lake City, UT 84112

United States

  • University of Utah - Department of Mathematics

SCHOLARLY PAPERS

3

DOWNLOADS

310

TOTAL CITATIONS

9

Scholarly Papers (3)

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1.

Physics-Informed Neural Networks (PINNs) for Parameterized PDEs: A Metalearning Approach

Number of pages: 37 Posted: 17 Nov 2021
Michael Penwarden, Shandian Zhe, Akil Narayan and Robert M. Kirby
University of Utah - School of Computing and Scientific Computing and Imaging Institute, University of Utah - School of Computing, University of Utah - Department of Mathematics and University of Utah - School of Computing and Scientific Computing and Imaging Institute
Downloads 172 (437,795)
Citation 9

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Physics-Informed Neural Networks (PINNs), Metalearning

2.

Uncertainsci: Uncertainty Quantification for Computational Models in Biomedicine and Bioengineering

Number of pages: 15 Posted: 04 Mar 2022
Akil Narayan, Zexin Liu, Jake Bergquist, Chantel Charlebois, Sumientra Rampersad, Lindsay Rupp, Dana Brooks, Dan White, Jess Tate and Rob S. MacLeod
University of Utah - Department of Mathematics, University of Utah, University of Utah, University of Utah, University of Massachusetts Boston, University of Utah, Northeastern University (USA), University of Utah, University of Utah and University of Utah
Downloads 89 (747,755)

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uncertainty quantification, biomedical simulations, open-source software

3.

Convex Optimization-Based Structure-Preserving Filter for Multidimensional Finite Element Simulations

Number of pages: 20 Posted: 29 Mar 2022
Vidhi Zala, Akil Narayan and Robert M. Kirby
affiliation not provided to SSRN, University of Utah - Department of Mathematics and University of Utah - School of Computing and Scientific Computing and Imaging Institute
Downloads 49 (1,074,648)

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Structure Preservation, Convex Optimization, FiniteElement Methods, Partial Differential Equations