Malik Hassanaly

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All published works
Action Title Year Authors
+ PDF Chat Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection 2024 Kejun Chen
Truc Nguyen
Malik Hassanaly
+ PDF Chat Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability 2024 Pooja Aslami
Kejun Chen
Timothy M. Hansen
Malik Hassanaly
+ SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations 2024 Cody J. Balos
Marc Day
Lucas Esclapez
Anne Felden
David J. Gardner
Malik Hassanaly
Daniel R. Reynolds
Jon Rood
Jean M. Sexton
Nicholas T. Wimer
+ PDF Chat Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method 2024 Abhijeet Sahu
Truc Nguyen
Kejun Chen
Xiangyu Zhang
Malik Hassanaly
+ PDF Chat Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning 2024 Romesh Prasad
Malik Hassanaly
Xiangyu Zhang
Abhijeet Sahu
+ PDF Chat PINN surrogate of Li-ion battery models for parameter inference, Part I: Implementation and multi-fidelity hierarchies for the single-particle model 2024 Malik Hassanaly
Peter J. Weddle
Ryan King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
+ PDF Chat PINN surrogate of Li-ion battery models for parameter inference, Part II: Regularization and application of the pseudo-2D model 2024 Malik Hassanaly
Peter J. Weddle
Ryan King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
+ PDF Chat SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems 2024 Cody J. Balos
Marc Day
Lucas Esclapez
Anne Felden
David J. Gardner
Malik Hassanaly
Daniel R. Reynolds
Jon Rood
Jean M. Sexton
Nicholas T. Wimer
+ PDF Chat Inverse Modeling of Bubble Size Dynamics for Interphase Mass Transfer and Gas Holdup in CO2 Bubble Column Reactors 2024 Malik Hassanaly
John M. Parra-Alvarez
Mohammad Rahimi
Hariswaran Sitaraman
+ PDF Chat Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms 2024 Malik Hassanaly
Nicholas T. Wimer
Anne Felden
Lucas Esclapez
J.T. Ream
Marc Henry de Frahan
Jon Rood
Marc Day
+ PDF Chat A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks 2024 Graham Pash
Malik Hassanaly
Shashank Yellapantula
+ The Pele Simulation Suite for Reacting Flows at Exascale 2024 Marc Henry de Frahan
Lucas Esclapez
Jon Rood
Nicholas T. Wimer
Paul Mullowney
Bruce A. Perry
Landon D. Owen
Hariswaran Sitaraman
Shashank Yellapantula
Malik Hassanaly
+ PDF Chat Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models 2023 Alex Rybchuk
Malik Hassanaly
Nicholas Hamilton
Paula Doubrawa
Mitchell J. Fulton
Luis A. Martínez‐Tossas
+ Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets 2023 Subhayan De
Matthew Reynolds
Malik Hassanaly
Ryan King
Alireza Doostan
+ Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models 2023 Alex Rybchuk
Malik Hassanaly
Nicholas Hamilton
Paula Doubrawa
Mitchell J. Fulton
Luis A. Martínez‐Tossas
+ PDF Chat Uniform-in-phase-space data selection with iterative normalizing flows 2023 Malik Hassanaly
Bruce A. Perry
Michael E. Mueller
Shashank Yellapantula
+ PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model 2023 Malik Hassanaly
Peter J. Weddle
Ryan 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 2023 Malik Hassanaly
Peter J. Weddle
Ryan King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
+ Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets 2022 Subhayan De
Malik Hassanaly
Matthew Reynolds
Ryan King
Alireza Doostan
+ PDF Chat Adversarial sampling of unknown and high-dimensional conditional distributions 2021 Malik Hassanaly
Andrew Glaws
Karen Stengel
Ryan King
+ Adversarial sampling of unknown and high-dimensional conditional distributions 2021 Malik Hassanaly
Andrew Glaws
Karen Stengel
Ryan King
+ Surface chemistry models for GaAs epitaxial growth and hydride cracking using reacting flow simulations. 2021 Malik Hassanaly
Hariswaran Sitaraman
Kevin L. Schulte
Aaron J. Ptak
John Simon
Kevin Udwary
Jacob H. Leach
Heather Splawn
+ PDF Chat Surface chemistry models for GaAs epitaxial growth and hydride cracking using reacting flow simulations 2021 Malik Hassanaly
Hariswaran Sitaraman
Kevin L. Schulte
Aaron J. Ptak
John Simon
Kevin Udwary
Jacob H. Leach
Heather Splawn
+ GANISP: a GAN-assisted Importance SPlitting Probability Estimator 2021 Malik Hassanaly
Andrew Glaws
Ryan King
+ Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows 2021 Malik Hassanaly
Bruce A. Perry
Michael E. Mueller
Shashank Yellapantula
+ PDF Chat Data-driven analysis of relight variability of jet fuels induced by turbulence 2020 Malik Hassanaly
Yihao Tang
Shivam Barwey
Venkat Raman
+ Data-driven Analysis of Relight variability of Jet Fuels induced by Turbulence 2020 Malik Hassanaly
Yihao Tang
Shivam Barwey
Venkat Raman
+ Data-driven Analysis of Relight variability of Jet Fuels induced by Turbulence 2020 Malik Hassanaly
Yihao Tang
Shivam Barwey
Venkat Raman
+ PDF Chat Lyapunov spectrum of forced homogeneous isotropic turbulent flows 2019 Malik Hassanaly
Venkat Raman
+ PDF Chat A self-similarity principle for the computation of rare event probability 2019 Malik Hassanaly
Venkat Raman
+ Lyapunov spectrum of forced homogeneous isotropic turbulent flows. 2019 Malik Hassanaly
Venkat Raman
+ PDF Chat Using Machine Learning to Construct Velocity Fields from OH-PLIF Images 2019 Shivam Barwey
Malik Hassanaly
Venkat Raman
Adam M. Steinberg
+ Using machine learning to construct velocity fields from OH-PLIF images 2019 Shivam Barwey
Malik Hassanaly
Venkat Raman
Adam M. Steinberg
+ PDF Chat Experimental data-based reduced-order model for analysis and prediction of flame transition in gas turbine combustors 2019 Shivam Barwey
Malik Hassanaly
Qiang An
Venkat Raman
Adam M. Steinberg
+ PDF Chat Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers 2019 Malik Hassanaly
Venkat Raman
+ Using machine learning to construct velocity fields from OH-PLIF images 2019 Shivam Barwey
Malik Hassanaly
Venkat Raman
Adam M. Steinberg
+ Lyapunov spectrum of forced homogeneous isotropic turbulent flows 2019 Malik Hassanaly
Venkat Raman
+ PDF Chat Emerging trends in numerical simulations of combustion systems 2018 Venkat Raman
Malik Hassanaly
+ PDF Chat Ensemble-LES analysis of perturbation response of turbulent partially-premixed flames 2018 Malik Hassanaly
Venkat Raman
+ Emerging Trends in Numerical Simulations of Combustion Systems 2018 Venkat Raman
Malik Hassanaly
+ Ensemble-LES Analysis of Perturbation Response of Turbulent Partially-Premixed Flames 2018 Malik Hassanaly
Venkat Raman
+ Emerging Trends in Numerical Simulations of Combustion Systems 2018 Venkat Raman
Malik Hassanaly
+ Ensemble-LES Analysis of Perturbation Response of Turbulent Partially-Premixed Flames 2018 Malik Hassanaly
Venkat Raman
+ PDF Chat A minimally-dissipative low-Mach number solver for complex reacting flows in OpenFOAM 2017 Malik Hassanaly
Heeseok Koo
Christopher Lietz
Shao Teng Chong
Venkat Raman
+ A minimally-dissipative low-Mach number solver for complex reacting flows in OpenFOAM 2017 Malik Hassanaly
Heeseok Koo
Christopher Lietz
Shao Teng Chong
Venkat Raman
+ Classification and Simulation of Anomalous Events in Turbulent Combustion 2017 Malik Hassanaly
Stephen Voelkel
Venkat Raman
+ A minimally-dissipative low-Mach number solver for complex reacting flows in OpenFOAM 2017 Malik Hassanaly
Heeseok Koo
Christopher Lietz
Shao Teng Chong
Venkat Raman
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat A minimally-dissipative low-Mach number solver for complex reacting flows in OpenFOAM 2017 Malik Hassanaly
Heeseok Koo
Christopher Lietz
Shao Teng Chong
Venkat Raman
8
+ Scaling of Lyapunov exponents in homogeneous isotropic turbulence 2017 Prakash Mohan
Nicholas Fitzsimmons
Robert Moser
7
+ PDF Chat Emerging trends in numerical simulations of combustion systems 2018 Venkat Raman
Malik Hassanaly
7
+ PDF Chat Cluster-based reduced-order modelling of a mixing layer 2014 Eurika Kaiser
Bernd R. Noack
Laurent Cordier
Andreas Spohn
Marc Segond
Markus Abel
Guillaume Daviller
Jan Östh
Siniơa Krajnović
Robert K. Niven
6
+ PDF Chat Estimating uncertainties in statistics computed from direct numerical simulation 2014 Todd Oliver
Nicholas Malaya
Rhys Ulerich
Robert Moser
5
+ PDF Chat Characterizing Dynamics with Covariant Lyapunov Vectors 2007 Francesco Ginelli
Pablo M. Poggi
Alessio Turchi
Hugues Chaté
Roberto Livi
Antonio Politi
5
+ PDF Chat Experimental data-based reduced-order model for analysis and prediction of flame transition in gas turbine combustors 2019 Shivam Barwey
Malik Hassanaly
Qiang An
Venkat Raman
Adam M. Steinberg
5
+ Ergodic theory of chaos and strange attractors 1985 Jean-Pierre Eckmann
David Ruelle
5
+ PDF Chat Ensemble-LES analysis of perturbation response of turbulent partially-premixed flames 2018 Malik Hassanaly
Venkat Raman
5
+ PDF Chat Adversarial sampling of unknown and high-dimensional conditional distributions 2021 Malik Hassanaly
Andrew Glaws
Karen Stengel
Ryan King
4
+ PDF Chat Rare event computation in deterministic chaotic systems using genealogical particle analysis 2016 Jeroen Wouters
Freddy Bouchet
4
+ PDF Chat Deterministic Nonperiodic Flow 1963 Edward N. Lorenz
4
+ PDF Chat Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers 2019 Malik Hassanaly
Venkat Raman
4
+ PDF Chat Data-driven analysis of relight variability of jet fuels induced by turbulence 2020 Malik Hassanaly
Yihao Tang
Shivam Barwey
Venkat Raman
4
+ PDF Chat Lyapunov spectrum of forced homogeneous isotropic turbulent flows 2019 Malik Hassanaly
Venkat Raman
4
+ PDF Chat Image-to-Image Translation with Conditional Adversarial Networks 2017 Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
3
+ Lyapunov Characteristic Exponents for smooth dynamical systems and for hamiltonian systems; A method for computing all of them. Part 2: Numerical application 1980 Giancarlo Benettin
L. Galgani
Antonio Giorgilli
Jean-Marie Strelcyn
3
+ Scikit-learn: Machine Learning in Python 2012 FabiĂĄn Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
3
+ PDF Chat Inertial manifolds for nonlinear evolutionary equations 1988 Ciprian FoiaƟ
George R. Sell
Roger TĂ©mam
3
+ PDF Chat Local Low Dimensionality of Atmospheric Dynamics 2001 D. J. Patil
Brian R. Hunt
Eugenia Kalnay
James A. Yorke
Edward Ott
3
+ Lyapunov Characteristic Exponents for smooth dynamical systems and for hamiltonian systems; a method for computing all of them. Part 1: Theory 1980 Giancarlo Benettin
L. Galgani
Antonio Giorgilli
Jean-Marie Strelcyn
3
+ PDF Chat Adaptive Multilevel Splitting for Rare Event Analysis 2007 Frédéric Cérou
Arnaud Guyader
3
+ Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets 2023 Subhayan De
Matthew Reynolds
Malik Hassanaly
Ryan King
Alireza Doostan
3
+ PDF Chat Extensive chaos in the Lorenz-96 model 2010 Armin Karimi
Mark Paul
3
+ PDF Chat Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows 2020 Kai Fukami
Koji Fukagata
Kunihiko Taira
3
+ PDF Chat Lyapunov spectrum of the separated flow around the NACA 0012 airfoil and its dependence on numerical discretization 2017 Pablo FernĂĄndez
Qiuwang Wang
3
+ PDF Chat A survey of rare event simulation methods for static input–output models 2014 JĂ©rĂŽme Morio
Mathieu Balesdent
Damien Jacquemart
Christelle Vergé
3
+ Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations 2020 Liu Yang
Dongkun Zhang
George Em Karniadakis
3
+ Skew-symmetric form of convective terms and fully conservative finite difference schemes for variable density low-Mach number flows 2009 Yohei MORINISHI
3
+ VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning 2017 Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
2
+ PDF Chat Perturbed phase-space dynamics of hard-disk fluids 2003 Christina Forster
Robin Hirschl
Harald A. Posch
William G. Hoover
2
+ PDF Chat Pros and cons of GAN evaluation measures 2018 Ali Borji
2
+ PDF Chat The Unreasonable Effectiveness of Deep Features as a Perceptual Metric 2018 Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
2
+ PDF Chat Time‐dependent global sensitivity analysis with active subspaces for a lithium ion battery model 2017 Paul G. Constantine
Alireza Doostan
2
+ PDF Chat Deep learning for presumed probability density function models 2019 Marc Henry de Frahan
Shashank Yellapantula
Ryan King
Marc Day
Ray Grout
2
+ Diversity-Sensitive Conditional Generative Adversarial Networks 2019 Dingdong Yang
Seunghoon Hong
Yunseok Jang
Tianchen Zhao
Honglak Lee
2
+ PDF Chat Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization 2018 Benjamin Peherstorfer
Karen Willcox
Max Gunzburger
2
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
2
+ Data-driven deconvolution for large eddy simulations of Kraichnan turbulence 2018 Romit Maulik
Omer San
Adil Rasheed
Prakash Vedula
2
+ Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data 2019 Luning Sun
Han Gao
Shaowu Pan
Jianxun Wang
2
+ PDF Chat Stacked Generative Adversarial Networks 2017 Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge Belongie
2
+ Chaotic behavior of multidimensional difference equations 1979 James L. Kaplan
James A. Yorke
2
+ PDF Chat Functional Differential Equations and Approximation of Fixed Points 1979 Dietmar Abts
J. Alexander
Eugene L. Allgower
Wolfgang Alt
Hjalte M. R. Mann
JĂĄn Andres
N. Angelstorf
J. Appell
B Arino
H B ckstrom
2
+ AdaGAN: Boosting Generative Models 2017 Ilya Tolstikhin
Sylvain Gelly
Olivier Bousquet
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
2
+ Attractor dimension and small length scale estimates for the three-dimensional Navier - Stokes equations 1997 John Gibbon
Edriss S. Titi
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Hyperbolicity and the Effective Dimension of Spatially Extended Dissipative Systems 2009 Hongliu Yang
Kazumasa A. Takeuchi
Francesco Ginelli
Hugues Chaté
GĂŒnter Radons
2
+ PDF Chat Ergodic theory of differentiable dynamical systems 1979 David Ruelle
2
+ PDF Chat Relative periodic orbits form the backbone of turbulent pipe flow 2017 Nazmi Burak Budanur
Kimberly Short
Mohammad Farazmand
Ashley P. Willis
Predrag Cvitanović
2
+ Classification and Simulation of Anomalous Events in Turbulent Combustion 2017 Malik Hassanaly
Stephen Voelkel
Venkat Raman
2