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Showing 1 to 16 of 16 for “"state evolution"”.

  1. Modeling the Non-equilibrium Phenomenon of Diffusion in Closed and Open Systems at an Atomistic Level Using Steepest-Entropy-Ascent Quantum Thermodynamics

    … is also used to develop the transient and steady-state model for an open system in which oxygen diffuses through a tin anode. The two forms of the SEAQT equation of motion are used. The first, which only involves a dissipation term, is applied to the state evolution of the isolated system as its …

    vt Repository record for Modeling the Non-equilibrium Phenomenon of Diffusion in Closed and Open Systems at an Atomistic Level Using Steepest-Entropy-Ascent Quantum Thermodynamics (opens in a new tab)

  2. Time-dependent assimilation of CTD data to an open ocean Rossby wave model

    … southwest of Bermuda, a time-dependent ocean state is estimated that evolves from the first to the second survey. The mesoscale motions are modelled by quasi-geostrophic dynamics, and the ocean model state is represented by freely propagating Rossby waves in the 1st and 2nd baroclinic modes …

    woods-hole Repository record for Time-dependent assimilation of CTD data to an open ocean Rossby wave model (opens in a new tab)

  3. Virtual articulation and kinematic abstraction in robotics

    … and temporal abstractions model contact state evolution.

    mit Repository record for Virtual articulation and kinematic abstraction in robotics (opens in a new tab)

  4. DNA Directed Organic Semiconductor Interactions Controlling Excitons, Charge Transfer States, and Singlet Fission

    Excited states in organic semiconductors are generated, transported, and converted through π-orbital interactions between multiple molecules. Hence, efficiency depends on the relative geometries between molecules. Yet, control over spatial assembly of organic semiconductors is challenging. Large …

    cambridge Repository record for DNA Directed Organic Semiconductor Interactions Controlling Excitons, Charge Transfer States, and Singlet Fission (opens in a new tab)

  5. Model-Based Learning and Planning for Intelligent Manipulation Using Probabilistic Hybrid Models

    … model that learns to predict both low-level state evolution as well as high-level transitions among distinct modalities. We also show that the discrete modes that naturally arise when learning DPHA models can provide promising insights that reveal semantically meaningful intentions and …

    mit Repository record for Model-Based Learning and Planning for Intelligent Manipulation Using Probabilistic Hybrid Models (opens in a new tab)

  6. Modeling Exomoon Formation in Circumplanetary Disks Using Dustpy

    … particle growth, leading to earlier quasi-steady-state evolution and allowing grains to reach sizes beyond the fragmentation barrier in certain regions. An analysis of dust and gas radial velocity profiles was performed to examine the size-dependent dynamics of particles, offering insight into the …

    mit Repository record for Modeling Exomoon Formation in Circumplanetary Disks Using Dustpy (opens in a new tab)

  7. The Differential Scheme and Quantum Computation

    … and verifying the properties of the evolving state of such systems is currently a piecemeal affair that depends on the nature of major components of a system: e.g., discrete vs. continuous components of state, discrete vs. continuous time, local vs. distributed clocks, classical vs. quantum …

    syracuse-diss Repository record for The Differential Scheme and Quantum Computation (opens in a new tab)

  8. Prediction of Microstructural and Conformational Evolutions through Application of Steepest-Entropy-Ascent Quantum Thermodynamics

    … entropy ascent to determine the thermodynamic state evolution of modeled systems. The SEAQT framework has seen applied to multiple systems, including quantum and gas phase systems, in addition to solid-state material phenomena. A precise definition of entropy is crucial for the application of …

    vt Repository record for Prediction of Microstructural and Conformational Evolutions through Application of Steepest-Entropy-Ascent Quantum Thermodynamics (opens in a new tab)

  9. Evolution of Floral Morphology and Symmetry in the Miconieae (Melastomataceae)

    <p>Analyses of evolution of floral morphology and symmetry broaden our understanding of the drivers of angiosperm diversification. Integrated within a flower, labile floral characters produce different phenotypes that promote variable interactions with pollinators. Thus, investigation of floral …

    cuny Repository record for Evolution of Floral Morphology and Symmetry in the Miconieae (Melastomataceae) (opens in a new tab)

  10. Memory efficient approaches of second order for optimal control problems

    … optimal control problem, where the state evolution is described by an initial value problem. There are a variety of numerical methods to solve these problems. The so-called indirect approach is considered detailed in this thesis. The indirect methods solve decoupled boundary value …

    qucosa-diss

  11. Approximation errors in nonstationary inverse problems

    … are modelled through sampling, based on the state evolution model. The approach has previously been implemented for filtering problems. In this thesis, we extend the BAE approach to smoothing problems. We test the applicability of the BAE approach in smoothing problems with numerical …

    auckland-ms Repository record for Approximation errors in nonstationary inverse problems (opens in a new tab)

  12. Time series estimation in a spiked signal regime

    … time series of a dynamical system with unknown state evolution. The technique presented is TSCC (Transformed Spiked Co- variance Completion), a matrix completion algorithm for signal estimation that leverages the spiked signal model, an assumption that holds true for many high-dimensional …

    uiuc Repository record for Time series estimation in a spiked signal regime (opens in a new tab)

  13. High-Dimensional Inference with Heterogeneous Data

    … low-dimensional matrix recursion called 'state evolution', and demonstrate how one can apply this characterization to construct Bayesian posterior distributions over change point configurations. We demonstrate the favorable estimation performance and the posterior inference capabilities of …

    cambridge Repository record for High-Dimensional Inference with Heterogeneous Data (opens in a new tab)

  14. Spatial Coupling for High-Dimensional Estimation

    Many signal processing and statistical problems allow flexibility in the way in which measurements are acquired. For example, in compressed sensing MRI, the sampling frequencies can be chosen to optimize reconstruction performance. This thesis investi- gates spatial coupling, a design technique …

    cambridge Repository record for Spatial Coupling for High-Dimensional Estimation (opens in a new tab)

  15. Design and synthesis of Ni-rich and low/no-Co layered oxide cathodes for Li-ion batteries

    … redistribution and the structural and chemical evolution of the LNO cathode. We use in situ transmission X-ray microscopy (TXM) to track the Mn tomography inside the LNO particle and Ni oxidation state evolution at various temperatures below 700 °C. We further reveal chemical and structural …

    vt Repository record for Design and synthesis of Ni-rich and low/no-Co layered oxide cathodes for Li-ion batteries (opens in a new tab)