activity
20172026
most citedSurface chemistry models for GaAs epitaxial growth and hydride cracking using reacting flow simulations

4 citations · 10 across the 10 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.LG2024

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability

Pooja Aslami, Kejun Chen, Timothy M. Hansen +1

False data injection attacks (FDIAs) on smart inverters are a growing concern linked to increased renewable energy production. While data-based FDIA detection methods are also acti…

eess.SY20242 cited

Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection

Kejun Chen, Truc Nguyen, Abhijeet Sahu +1

Smart inverters are instrumental in the integration of distributed energy resources into the electric grid. Such inverters rely on communication layers for continuous control and m…

cs.CR2024

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

Abhijeet Sahu, Truc Nguyen, Kejun Chen +2

With the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disru…

cs.LG2024

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

Romesh Prasad, Malik Hassanaly, Xiangyu Zhang +1

While inverter-based distributed energy resources (DERs) play a crucial role in integrating renewable energy into the power system, they concurrently diminish the grid's system ine…

math.NA2024

SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems

Cody J. Balos, Marc Day, Lucas Esclapez +8

Many complex systems can be accurately modeled as a set of coupled time-dependent partial differential equations (PDEs). However, solving such equations can be prohibitively expens…

physics.flu-dyn2024

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

Malik Hassanaly, Nicholas T. Wimer, Anne Felden +5

The Quasi-Steady State Approximation (QSSA) can be an effective tool for reducing the size and stiffness of chemical mechanisms for implementation in computational reacting flow so…