arXiv subjects

Michael von Spakovsky

Publications and source records attributed to Michael von Spakovsky.

5 recordsLinked to original sources

arXiv2026

Alleviating Community Fear in Disasters via Multi-Agent Actor-Critic Reinforcement Learning

During disasters, cascading failures across power grids, communication networks, and social behavior amplify community fear and undermine cooperation. Existing cyber-physical-social (CPS) models simulate these coupled dynamics but lack mechanisms for active intervention. We extend the CPS resilience model of Valinejad and Mili (2023) with control channels for three agencies, communication, power, and emergency management, and formulate the resulting system as a three-player non-zero-sum differential game solved via online actor-critic reinforcement learning. Simulations based on Hurricane Harvey data show 70% mean fear reduction with improved infrastructure recovery; cross-validation in the case of Hurricane Irma (without refitting) achieves 50% fear reduction, confirming generalizability.

cs.LG↗

arXiv2024

Non-equilibrium and equilibrium thermodynamic foundations of the 2D toric code within the SEAQT framework

The 2D toric code is a prototypical example that exhibits non-trivial topological properties and a ground state possessing a non-trivial topological order. Until now, all the cases studied in the literature have been in the stable equilibrium regime, leaving the relaxation towards this state unexplored. In the present work, the dynamics of the toric code towards stable equilibrium is explored within the steepest-entropy-ascent quantum thermodynamic (SEAQT) framework. Under these dynamics, information correlations such as the relative entropy, logarithmic negativity, magnetization, coherent information, and geometric entropy are described out of equilibrium, permitting a connection to be made between the out-of-equilibrium dynamics and these information measures.

quant-ph↗

arXiv2024

Modeling the effects of perturbations and steepest entropy ascent on the time evolution of entanglement

This work presents an analysis of the evolution of perturbed Bell diagonal states using the equation of motion of steepest-entropy-ascent quantum thermodynamics (SEAQT), the Lindblad equation, and various measures of loss of entanglement. First, a brief derivation is presented showing that Bell diagonal states are stationary states that are not stable equilibrium states relative to the SEAQT equation of motion, highlighting the need for the development of perturbation methods to study the evolutions of nearby states. This contrasts with the Lindblad equation of motion for which only some of the Bell diagonal states are stationary. Next, two perturbation methods are presented. The first is a weighted-average method for perturbing bi-partite system states and the second is a general bi-partite method based on a set of unitary operations that are constrained to hold the system energy and system entropy constant. Sets of density operators are randomly generated with each method and the resulting time-varying characteristics of the system's entanglement are analyzed using the SEAQT and Lindblad frameworks. The findings reveal that the evolutions associated with the constrained perturbations accurately predict the loss of non-locality and align well with the measured concurrence. In addition, using the SEAQT framework, the deep connection between the thermodynamic states of the state evolution of the system and the loss of non-locality is quantitatively demonstrated.

quant-ph↗

arXiv2020

Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part 2: Simulation Results

In this paper we investigate the resiliency planning of interdependent electric power systems and emergency services. We investigate the effect of the level of empathy, cooperation, coordination, flexibility, and experience of individuals on their mental well-being. Furthermore, we explore the impact of the information that is provided by emergency services and the impact of the availability of electric energy on the physical, mental, and social well-being of individuals. For our simulations, we use a stochastic, multi-agent-based numerical framework that is reported in the companion paper for estimating the social well-being of a community when facing natural disasters such as hurricanes, floods, earthquakes, and tsunamis. The performance of the proposed method is assessed by measuring community resilience for a multitude of effects in the context of two case studies. These effects are analyzed for Gaussian social random characteristics. Each case study considers nine agents, namely, three areas of three communities each, yielding a total of six communities. The results show that a high level of cooperation can positively change individual behavior. In addition, the relationship among the individuals of a community is so vital that the society with less population and more empathy may be more resilient than the community with more population and less empathy.

cs.CY↗

arXiv2016

Steepest-entropy-ascent quantum thermodynamic framework for describing the non-equilibrium behavior of a chemically reactive system at an atomistic level

Steepest-Entropy-Ascent Quantum Thermodynamics (SEAQT) provides a general framework for the description of non-equilibrium phenomena at any level, particularly the atomistic one. This theory and its dynamical postulate are used here to develop a general mathematical framework, which at an atomistic level, in particular, can be used to predict the non-equilibrium evolution in state of a closed, chemically reactive mixture such as the one examined here, i.e., a mixture of hydrogen (H2) and flourine (F) contained in an isolated tank of fixed volume. The general framework provided, however, is written for a reactive system subject to multiple reaction mechanisms. To predict this evolution in state, both the energy and particle number eigenvalue problems for a dilute gas are set up and solved analytically. Wall and non-ideal-gas behavior effects are neglected, although the extension to dense gases is straightforward but left for a future paper. The system-level energy and particle number eigenvalues and eigenstates found are used in the nonlinear equation of motion of SEAQT to determine the time evolution of the thermodynamic state of the system, thus, effectively describing the reaction kinetics of the reaction and the system's relaxation to stable equilibrium. The predicted time evolution is then compared to the results of a standard detailed kinetic model used, in the near-equilibrium limit, to extract the single time constant needed by the SEAQT equation of motion.

physics.chem-ph↗