Malik Hassanaly

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Conditional Distribution

Diffusion Models

Top Venues

J. Comput. Phys.

Publications

Graham Pash, Malik Hassanaly, Shashank Yellapantula
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks. CoRR (2024)
Malik Hassanaly, Nicholas T. Wimer, Anne Felden, Lucas Esclapez, Julia Ream, Marc T. Henry de Frahan, Jon S. Rood, Marc Day
Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms. CoRR (2024)
Cody J. Balos, Marc Day, Lucas Esclapez, Anne Felden, David J. Gardner, Malik Hassanaly, Daniel R. Reynolds, Jon S. Rood, Jean M. Sexton, Nicholas T. Wimer, Carol S. Woodward
SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems. CoRR (2024)
Marc T. Henry de Frahan, Lucas Esclapez, Jon S. Rood, Nicholas T. Wimer, Paul Mullowney, Bruce A. Perry, Landon Owen, Hariswaran Sitaraman, Shashank Yellapantula, Malik Hassanaly, Mohammad J. Rahimi, Michael James Martin, Olga A. Doronina, Sreejith N. A., Martin Rieth, Wenjun Ge, Ramanan Sankaran, Ann S. Almgren, Weiqun Zhang, John B. Bell, Ray W. Grout, Marc Day, Jacqueline H. Chen
The Pele Simulation Suite for Reacting Flows at Exascale. PP (2024)
Alex Rybchuk, Malik Hassanaly, Nicholas Hamilton, Paula Doubrawa, Mitchell J. Fulton, Luis A. Martínez-Tossas
Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models. CoRR (2023)
Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model. CoRR (2023)
Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model. CoRR (2023)
Subhayan De, Malik Hassanaly, Matthew J. Reynolds, Ryan N. King, Alireza Doostan
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets. CoRR (2022)
Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
Adversarial sampling of unknown and high-dimensional conditional distributions. J. Comput. Phys. 450 (2022)
Malik Hassanaly, Andrew Glaws, Ryan N. King
GANISP: a GAN-assisted Importance SPlitting Probability Estimator. CoRR (2021)
Malik Hassanaly, Bruce A. Perry, Michael E. Mueller, Shashank Yellapantula
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows. CoRR (2021)
Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
Adversarial sampling of unknown and high-dimensional conditional distributions. CoRR (2021)
Maryam Akram, Malik Hassanaly, Venkat Raman
analysis of reduced description of dynamical systems using approximate inertial manifolds. J. Comput. Phys. 409 (2020)
Malik Hassanaly, Venkat Raman
Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers. J. Comput. Phys. 386 (2019)
Shivam Barwey, Malik Hassanaly, Venkat Raman, Adam Steinberg
Using machine learning to construct velocity fields from OH-PLIF images. CoRR (2019)