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Showing 1 to 20 of 359 for “"mean field"”.

  1. Stochastic Mean-Field Polycrystal Plasticity Methods

    … RCSR specimen which is not represented in our mean-field model.

    uiuc Repository record for Stochastic Mean-Field Polycrystal Plasticity Methods (opens in a new tab)

  2. Spin liquids : mean field and beyond

    … as fractionalized excitations and emergent gauge field. In this thesis we use mean field approach and its extensions to address spin liquid states of spin-1 system which has no analogue for spin-1/2. Also, we consider impurity as a probe of spin-1 system, and spinon-phonon interactions in Dirac …

    mit Repository record for Spin liquids : mean field and beyond (opens in a new tab)

  3. Mean Field Analysis of Generalized Cyclic Competitions

    The mean field analysis of stochastic dynamical system allows us to gain insight into the qualitative features of their complex behavior, as well as quantitative estimates of certain aspects of their coarse-grained properties. As such, it usually furnishes a first front in approaching new dynamical …

    vt Repository record for Mean Field Analysis of Generalized Cyclic Competitions (opens in a new tab)

  4. Multi-agent reinforcement learning: A mean-field perspective

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms

    uiuc Repository record for Multi-agent reinforcement learning: A mean-field perspective (opens in a new tab)

  5. Asymptotic Behaviour and Derivation of Mean Field Models

    … to the asymptotic behaviour and derivation of mean field models from systems of many particles. Chapter 1 introduces mean field models and their derivation, and then summarises the following chapters of this thesis. Chapters 2, 3 and 4 directly study systems composed of many particles. In …

    cambridge Repository record for Asymptotic Behaviour and Derivation of Mean Field Models (opens in a new tab)

  6. COARSE CORRELATED EQUILIBRIA IN CONTINUOUS-TIME MEAN FIELD GAMES

    Mean field games (MFGs), an active theme of research since the mid 2000's, arise as the limit formulation of symmetric N-player games with mean field interactions, and they act as a treatable approximation of such games, when the numbers of players is large enough. The usual notion of MFG solution …

    milano Repository record for COARSE CORRELATED EQUILIBRIA IN CONTINUOUS-TIME MEAN FIELD GAMES (opens in a new tab)

  7. Hierarchical modeling of systemic risk via mean field games

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01

    uiuc Repository record for Hierarchical modeling of systemic risk via mean field games (opens in a new tab)

  8. Analysis of non-unique solutions in mean field games

    … thesis investigates cases when solutions to a mean field game (MFG) are non-unique. The symmetric Markov perfect information N-player game is considered and restricted to finite states and continuous time. The players' transitions are random with a parameter determined by their control. There …

    uiuc Repository record for Analysis of non-unique solutions in mean field games (opens in a new tab)

  9. Collective behaviour of active particles with mean-field interaction

    … allows the particles to anticipate the chemical field. We show typical particle trajectories for the linear model with several background chemical fields. The behaviour includes (damped) oscillations that are predicted by the inviscid linearised theory. We also show the typical trajectories for …

    cambridge Repository record for Collective behaviour of active particles with mean-field interaction (opens in a new tab)

  10. ADVANCES IN MEAN-FIELD OPTIMAL CONTROL VIA DYNAMIC PROGRAMMING EQUATIONS

    In questa tesi di dottorato ci proponiamo di analizzare varie classi di problemi di controllo ottimo di tipo McKean-Vlasov con un approccio analitico, che consiste nella caratterizzazione della funzione valore di ciascun problema mediante un'opportuna equazione alle derivate parziali, detta …

    milano Repository record for ADVANCES IN MEAN-FIELD OPTIMAL CONTROL VIA DYNAMIC PROGRAMMING EQUATIONS (opens in a new tab)

  11. Stochastic Mean Field Games within Complex Systems and Interacting Particle Frameworks

    … and transport equations. Next, we explore mean field games (MFGs) with state dynamics described by stochastic differential equations affected by both idiosyncratic and common noise, and subject to the constraint that the terminal state variable belongs to a nonempty convex closed set. We …

    trento Repository record for Stochastic Mean Field Games within Complex Systems and Interacting Particle Frameworks (opens in a new tab)

  12. The Study of Transition Metal Oxides using Dynamical Mean Field Theory

    … phases not observed in bulk systems. Dynamical mean-field theory (DMFT) emerges as a successful numerical method to treat the strong correlation. The combination of density functional and dynamical mean-field theory (DFT+DMFT) is a prospective ab initio approach for studying realistic strongly …

    columbia-diss Repository record for The Study of Transition Metal Oxides using Dynamical Mean Field Theory (opens in a new tab)

  13. Cluster mean-field dynamics of the long-range interacting Ising chain

    … interacting Ising chain using a cluster mean-field approach, a mean-field theory that accounts for short range correlations. The principal result is that, if the system is isolated from an external environment, the model exhibits two different behaviors depending on the range of the …

    catania Repository record for Cluster mean-field dynamics of the long-range interacting Ising chain (opens in a new tab)

  14. Scattering of many-fermion systems in time-dependent mean field theories

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 1994.

    mit Repository record for Scattering of many-fermion systems in time-dependent mean field theories (opens in a new tab)

  15. Several Reinforcement Learning Methods in Mean-Field Games with Binary Action Spaces

    … have witnessed significant progress in the sub-field of machine learning known as reinforcement learning, in which interactions between intelligent agents and the environment enable agents to learn and solve sequential decision-making problems through accumulating rewards with delays. Despite …

    carleton Repository record for Several Reinforcement Learning Methods in Mean-Field Games with Binary Action Spaces (opens in a new tab)

  16. Cluster expansion approach and fluctuation results in mean field spin glass theory

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-08-01

    uiuc Repository record for Cluster expansion approach and fluctuation results in mean field spin glass theory (opens in a new tab)

  17. Mean-Field Free-Energy Lattice Boltzmann Method for Liquid-Vapor Interfacial Flows

    … simulating liquid-vapor interfacial flows using mean-field free-energy theory. This new pressure equation is shown to be the general form of the classical van der Waals" square-gradient theory. The new equation is implemented in two-dimensional (2D) D2Q7, D2Q9, and three-dimensional (3D) D3Q19 …

    vt Repository record for Mean-Field Free-Energy Lattice Boltzmann Method for Liquid-Vapor Interfacial Flows (opens in a new tab)

  18. A mean-field method for driven diffusive systems based on maximum entropy principle

    … propose a method for generating a hierarchy of mean-field approximations to study the properties of the driven diffusive Ising model at nonequilibrium steady state. In addition, the present study offers a demonstration of the practical application of the information theoretic methods to a simple …

    vt Repository record for A mean-field method for driven diffusive systems based on maximum entropy principle (opens in a new tab)

  19. Mean-Field Parameter Study of Radiation-Induced Segregation in a Binary Metal Alloy

    … IV (Gen-IV) nuclear reactor designs. A mean-field study is conducted on a body-centered cubic (BCC) A-B binary metal alloy system. The performance of the simulated metal system is measured by assessing the degree of segregation that occurs at the grain boundary (GB) in the center of the …

    vt Repository record for Mean-Field Parameter Study of Radiation-Induced Segregation in a Binary Metal Alloy (opens in a new tab)

  20. Graphon Mean Field Games with Finite States and Forecasting Models for the Energy Market

    … parts, combining theoretical advancements in the field of mean field games (MFGs) with applied contributions to the modelling and forecasting of renewable energy systems. The first part, carried out in collaboration with Prof. Francesco Giuseppe Cordoni, focuses on the mathematical analysis of …

    trento Repository record for Graphon Mean Field Games with Finite States and Forecasting Models for the Energy Market (opens in a new tab)

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