140 citations · 414 across the 12 of their papers we have counts for
12 papers
Modewise Johnson-Lindenstrauss Embeddings for Nuclear Many-Body Theory
A. Zare, R. Wirth, C. A. Haselby +2
In this work, we explore modewise Johnson-Lindenstrauss embeddings (JLEs) as a tool to reduce the computational cost and memory requirements of nuclear many-body methods. JLEs are…
Stochastic dynamical wake modeling for wind farms
Aditya H. Bhatt, Federico Bernardoni, Stefano Leonardi +1
Low-fidelity analytical models of turbine wakes have traditionally been used for wind farm planning, performance evaluation, and demonstrating the utility of advanced control algor…
Model-based spectral coherence analysis
Seyedalireza Abootorabi, Armin Zare
Recent data-driven efforts have utilized spectral decomposition techniques to uncover the geometric self-similarity of dominant motions in the logarithmic layer, and thereby valida…
Input-output analysis of stochastic base flow uncertainty
Dhanushki Hewawaduge, Armin Zare
We adopt an input-output approach to analyze the effect of persistent white-in-time structured stochastic base flow perturbations on the mean-square properties of the linearized Na…
Model-based design of riblets for turbulent drag reduction
Wei Ran, Armin Zare, Mihailo R. Jovanović
Both experiments and direct numerical simulations have been used to demonstrate that riblets can reduce turbulent drag by as much as , but their systematic design remains an…
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi +1
Model-free reinforcement learning attempts to find an optimal control action for an unknown dynamical system by directly searching over the parameter space of controllers. The conv…
Stochastic dynamical modeling of turbulent flows
Armin Zare, Tryphon T. Georgiou, Mihailo R. Jovanović
Advanced measurement techniques and high performance computing have made large data sets available for a wide range of turbulent flows that arise in engineering applications. Drawi…
Stochastic receptivity analysis of boundary layer flow
Wei Ran, Armin Zare, M. J. Philipp Hack +1
We utilize the externally forced linearized Navier-Stokes equations to study the receptivity of pre-transitional boundary layers to persistent sources of stochastic excitation. Sto…
Proximal algorithms for large-scale statistical modeling and sensor/actuator selection
Armin Zare, Hesameddin Mohammadi, Neil K. Dhingra +2
Several problems in modeling and control of stochastically-driven dynamical systems can be cast as regularized semi-definite programs. We examine two such representative problems a…
Modeling mode interactions in boundary layer flows via the Parabolized Floquet Equations
Wei Ran, Armin Zare, M. J. Philipp Hack +1
In this paper, we develop a model based on successive linearization to study interactions between different modes in boundary layer flows. Our method consists of two steps. First,…
Color of turbulence
Armin Zare, Mihailo R. Jovanović, Tryphon T. Georgiou
In this paper, we address the problem of how to account for second-order statistics of turbulent flows using low-complexity stochastic dynamical models based on the linearized Navi…
Low-complexity modeling of partially available second-order statistics: theory and an efficient matrix completion algorithm
Armin Zare, Yongxin Chen, Mihailo R. Jovanović +1
State statistics of linear systems satisfy certain structural constraints that arise from the underlying dynamics and the directionality of input disturbances. In the present paper…