Malik Hassanaly

According to our database, Malik Hassanaly authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method.

Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly

CoRR, 2024

Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning.

Romesh Prasad, Malik Hassanaly, Xiangyu Zhang, Abhijeet Sahu

CoRR, 2024

Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms.

Malik Hassanaly, Nicholas T. Wimer, Anne Felden, Lucas Esclapez, Julia Ream, Marc T. Henry de Frahan, Jon S. Rood, Marc Day

CoRR, 2024

SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems.

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

CoRR, 2024

A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks.

Graham Pash, Malik Hassanaly, Shashank Yellapantula

CoRR, 2024

The Pele Simulation Suite for Reacting Flows at Exascale.

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

Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024

2023

PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model.

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.

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.

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.

Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King

J. Comput. Phys., 2022

Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets.

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.

Malik Hassanaly, Bruce A. Perry, Michael E. Mueller, Shashank Yellapantula

CoRR, 2021

GANISP: a GAN-assisted Importance SPlitting Probability Estimator.

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.

Maryam Akram, Malik Hassanaly, Venkat Raman

J. Comput. Phys., 2020

2019

Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers.

Malik Hassanaly, Venkat Raman

J. Comput. Phys., 2019

Using machine learning to construct velocity fields from OH-PLIF images.

Shivam Barwey, Malik Hassanaly, Venkat Raman, Adam Steinberg

CoRR, 2019