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Malik Hassanaly

Orcid: 0000-0002-0425-9090

According to our database1, Malik Hassanaly authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks.
[BibTeX]
[DOI]
Graham Pash
,
Malik Hassanaly
,
Shashank Yellapantula
CoRR, 2024

2023
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model.
[BibTeX]
[DOI]
Malik Hassanaly
,
Peter J. Weddle
,
Ryan N. King
,
Subhayan De
,
Alireza Doostan
,
Corey R. Randall
,
Eric J. Dufek
,
Andrew M. Colclasure
,
Kandler Smith
CoRR, 2023

PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model.
[BibTeX]
[DOI]
Malik Hassanaly
,
Peter J. Weddle
,
Ryan N. King
,
Subhayan De
,
Alireza Doostan
,
Corey R. Randall
,
Eric J. Dufek
,
Andrew M. Colclasure
,
Kandler Smith
CoRR, 2023

Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models.
[BibTeX]
[DOI]
Alex Rybchuk
,
Malik Hassanaly
,
Nicholas Hamilton
,
Paula Doubrawa
,
Mitchell J. Fulton
,
Luis A. Martínez-Tossas
CoRR, 2023

2022
Adversarial sampling of unknown and high-dimensional conditional distributions.
[BibTeX]
[DOI]
Malik Hassanaly
,
Andrew Glaws
,
Karen Stengel
,
Ryan N. King
J. Comput. Phys., 2022

Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets.
[BibTeX]
[DOI]
Subhayan De
,
Malik Hassanaly
,
Matthew J. Reynolds
,
Ryan N. King
,
Alireza Doostan
CoRR, 2022

2021
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows.
[BibTeX]
[DOI]
Malik Hassanaly
,
Bruce A. Perry
,
Michael E. Mueller
,
Shashank Yellapantula
CoRR, 2021

GANISP: a GAN-assisted Importance SPlitting Probability Estimator.
[BibTeX]
[DOI]
Malik Hassanaly
,
Andrew Glaws
,
Ryan N. King
CoRR, 2021

2020
<i>A priori</i> analysis of reduced description of dynamical systems using approximate inertial manifolds.
[BibTeX]
[DOI]
Maryam Akram
,
Malik Hassanaly
,
Venkat Raman
J. Comput. Phys., 2020

2019
Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers.
[BibTeX]
[DOI]
Malik Hassanaly
,
Venkat Raman
J. Comput. Phys., 2019

Using machine learning to construct velocity fields from OH-PLIF images.
[BibTeX]
[DOI]
Shivam Barwey
,
Malik Hassanaly
,
Venkat Raman
,
Adam Steinberg
CoRR, 2019


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