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I was educated in Russia (M.Sc. '90, Novosibirsk State U) and Israel (Ph.D. '96, Weizmann Institute) in theoretical and statistical physics, spent '96-'99 as a Dicke fellow at Princeton U/Physics (1996-99) and moved to Los Alamos, NM in 1999, first as an Oppenheimer fellow and then as a staff member in Theory Division and Center for Nonlinear Studies at Los Alamos National Laboratory (LANL).
In January of 2019, relocated to Tucson, where I am the Chair of the Graduate InterDisciplinary Program (GIDP) in Applied Mathematics and Professor of Mathematics at the UArizona. I also have an appointment with the Department of Computer Science (courtesy) and is a member of the GIDP in Statistics and Data Science at UArizona.
My area of current research focus is Scientific AI (Sc-AI), that is AI applied to systems, networks and models in physical (mainly statistical hydrodynamics), engineering (mainly energy networks) and health (mainly epidemiology, both viral and social) sciences. I view Sc-AI as a part of the contemporary applied mathematics. My Sc-AI includes Physics-Informed Data Science and Machine Learning. I love to use and develop, in all the theoretical and applied disciplines I work on, the Probabilistic Graphical Models as a methodology leading to efficient algorithms for solving challenging inference, learning, optimization and control problems.I was educated in Russia (M.Sc. '90, Novosibirsk State U) andShow Less
VOSviewer
Courses
- MAMIMethods of Applied Mathematics I
- TAMTopics in Applied Mathematics
- PMAMPrinciples and Methods of Applied Mathematics
- MAMIIMethods of Applied Mathematics II
- CSAMCase Studies in Applied Mathematics
Grants
- Accessing Effect of Pollution and Related on the Spread of Respiratory Infection in a City
Principal Investigator (PI)
2023
$23.2K
Active - Physics Informed Machine Learning of Turbulence in Lagrangian Framework
Principal Investigator (PI)
2022
$166.2K
Active - Enhancing Pathways to PhD in the Mathematical Sciences
Co-Investigator (COI)
2021
$150.0K
Active - RTG: Applied Mathematics and Statistics for Data-Driven Discovery
Co-Investigator (COI)
2020
$1.7M
Active - Risk-Aware Power System Control, Dispatch and Market Incentives
Principal Investigator (PI)
2020
$526.6K
Active - Machine Learning for Turbulence: Methodology
Principal Investigator (PI)
2020
$532.7K
- RAPID: Infer and Control Global Spread of Corona-Virus with Graphical Models
Principal Investigator (PI)
2020
$100.0K
News
- Five UArizona researchers named AAAS Fellows
2023
- $1.5M Advances Hypersonics Research and Technology
2021
Publications (391)
Recent
- Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty
2023
- A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
2023
- Universality and Control of Fat Tails
2023
- Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted-and Belief Propagation-Algorithms
2023
- Physics-informed machine learning with smoothed particle hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence
2023
- Data-Driven Mori-Zwanzig: Approaching a Reduced Order Model for Hypersonic Boundary Layer Transition
2023
- Embedding hard physical constraints in neural network coarse-graining of three-dimensional turbulence
2023
- Statistical mechanics of thermostatically controlled multizone buildings
2023
- Statistical Mechanics of Thermostatically Controlled Multi-Zone Buildings
2022
- Physics-informed Machine Learning for Reduced-order Modeling of Lagrangian Turbulence
2022
- Machine Learning for Electricity Market Clearing
2022
- Stochastic Processes and Modeling in Physics
2022
- Data-driven Mori-Zwanzig operators for boundary layer transition
2022
- Lagrangian Large Eddy Simulations via Physics Informed Machine Learning
2022
- Applicability of Machine Learning Methodologies to Model the Statistical Evolution of the Coarse-Grained Velocity Gradient Tensor
2022
- Toward model reduction for power system transients with physics-informed PDE
2022
- Machine Learning Statistical Evolution of the Coarse-Grained Velocity Gradient Tensor
2021
- Graphical models of pandemic
2021
- Physics Informed Machine Learning of Smooth Particle Hydrodynamics: Validation of the Lagrangian Turbulence Approach
2021
- Prediction and Prevention of Pandemics via Graphical Model Inference and ConvexProgramming (preprint)
2021
- Prediction and Prevention of Pandemics via Graphical Model Inference and ConvexProgramming
2021
- Physics Informed Machine Learning of Smooth Particle Hydrodynamics: Solving Inverse Problems using a mixed mode approach
2021
- Super-relaxation of space–time-quantized ensemble of energy loads to curtail their synchronization after demand response perturbation
2021
- Which neural network to choose for post-fault localization, dynamic state estimation
2021
- Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?
2021
- Physics-informed graphical neural network for parameter & state estimations in power systems
2021
- Intended for: Web
2021
- Machine Learning Lagrangian Large Eddy Simulations with Smoothed Particle Hydrodynamics
2021
- Data-Analysis of the Coarse-Grained Velocity Gradient Tensor
2021
- Model Reduction of Swing Equations with Physics Informed PDE.
2021
- Graphical models in meshed distribution grids: Topology estimation, change detection & limitations
2020
- Spatio-temporal deep learning models of 3D turbulence with physics informed diagnostics
2020
- Quantified uncertainties in fission yields from machine learning
2020
- Wavelet-powered neural networks for turbulence
2020
- Joint estimation of topology and injection statistics in distribution grids with missing nodes
2020
- Machine learning statistical lagrangian geometry of turbulence
2020
- Multienergy Systems
2020
- Learning model of generator from terminal data
2020
- Lecture Notes on the Principles and Methods of Applied Mathematics
2020
- Mean-field control for efficient mixing of energy loads
2020
- A hierarchical approach to multienergy demand response: From electricity to multienergy applications
2020
- Super-relaxation of space-time-quantized ensemble of energy loads.
2020
- Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection Limitations
2020
- Embedding hard physical constraints in neural network coarse-graining of 3d turbulence
2020
- Machine Learning of Reduced Lagrangian Models of Turbulence
2020
- Smarter Smart District Heating
2020
- Data-driven learning and load ensemble control
2020
- Learning from power system data stream
2019
- Physics-Constrained Convolutional LSTM Neural Networks for Generative Modeling of Turbulence
2019
- A new family of tractable Ising models
2019
- Operations-and uncertainty-aware installation of FACTS devices in a large transmission system
2019
- Graphical models in loopy distribution grids: Topology estimation, change detection & limitations
2019
- Inference and Sampling of -free Ising Models
2019
- Towards (Machine) Learning of Large Eddy Lagrangian Models (of Turbulence)
2019
- Guest editorial special issue on analysis, control, and optimization of energy networks
2019
- Stochastic Battery Operations using Deep Neural Networks
2019
- Learning a Generator Model from Terminal Bus Data
2019
- Constraining Fission Yields Using Machine Learning
2019
- Tractable minor-free generalization of planar zero-field ising models
2019
- Physics-informed deep neural networks applied to scalar subgrid flux modeling in a mixed DNS/LES framework
2019
- A data-driven approach to modeling turbulent decay at non-asymptotic Reynolds numbers
2019
- Towards future infrastructures for sustainable multi-energy systems: A review
2019
- Operations- and Uncertainty-Aware Installation of FACTS Devices in a Large Transmission System
2019
- Dynamics & Optimization of Natural Gas Systems
2019
- A markov process approach to ensemble control of smart buildings
2019
- Turbulence forecasting via neural ode
2019
- Physics Informed Learning of Lagrangian Turbulence: Velocity Gradient Tensor over Inertial-Range Geometry
2019
- Special Issue on Analysis, Control, and Optimization of Energy Networks
2019
- Polynomial chaos approach to describe the propagation of uncertainties through gas networks
2019
- Cloud-AC-OPF: Model reduction technique for multi-scenario optimal power flow via chance-constrained optimization
2019
- Compressed convolutional LSTM: An efficient deep learning framework to model high fidelity 3D turbulence
2019
- Topology Learning in Radial Distribution Grids
2018
- Real-time faulted line localization and PMU placement in power systems through convolutional neural networks
2018
- Constructing Global Fission Yield Parameterizations for CGMF
2018
- Gauged mini-bucket elimination for approximate inference
2018
- LAT-NET++: Compressing Fluid Simulations using Deep Neural Networks
2018
- Bucket renormalization for approximate inference
2018
- Joint estimation of topology & injection statistics in distribution grids with missing nodes
2018
- Gauges, loops, and polynomials for partition functions of graphical models
2018
- Inference and Sampling of K<inf>33</inf>-free Ising Models
2018
- Power of ensemble diversity and randomization for energy aggregation
2018
- Topology estimation using graphical models in multi-phase power distribution grids
2018
- Optimal structure and parameter learning of Ising models
2018
- Structure-and physics-preserving reductions of power grid models
2018
- Spatio-temporal modeling of high-fidelity turbulence with convolutional long short-term memory neural networks
2018
- Graphical Models and Belief Propagation Hierarchy for Physics-Constrained Network Flows
2018
- STRUCTURE- AND PHYSICS-PRESERVING REDUCTIONS OF POWER GRID MODELS
2018
- Mean field control for efficient mixing of energy loads
2018
- Physics informed topology learning in networks of linear dynamical systems
2018
- From deep to physics-informed learning of turbulence: Diagnostics
2018
- Topology learning of radial dynamical systems with latent nodes
2018
- Learning with end-users in distribution Grids: Topology and parameter estimation
2018
- Real-time fault localization in power grids with convolutional neural networks
2018
- Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations
2018
- Learning from power system data stream: Phasor-detective approach
2018
- Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow
2018
- Ensemble control of cycling energy loads: Markov decision approach
2018
- Belief propagation min-sum algorithm for generalized min-cost network flow
2017
- Adiabatic approach for natural gas pipeline computations
2017
- Learning exact topology of a loopy power grid from ambient dynamics
2017
- Exact topology and parameter estimation in distribution grids with minimal observability
2017
- Chance Constrained Optimal Power Flow with Primary Frequency Response
2017
- Integrated multi-scale data analytics and machine learning for the distribution grid and building-to-grid interface
2017
- Integrated multi-scale data analytics and machine learning for the distribution grid
2017
- Optimal ensemble control of loads in distribution grids with network constraints
2017
- Operator splitting method for simulation of dynamic flows in natural gas pipeline networks
2017
- Thermal transients in district heating systems
2017
- Online learning of power transmission dynamics
2017
- Fast and robust determination of power system emergency control actions
2017
- Creating turbulent flow realizations with generative adversarial networks
2017
- Importance sampling the union of rare events with an application to power systems analysis
2017
- State and Noise Covariance Estimation in Power Grids using Limited Nodal PMUs
2017
- Quantum Information Theory
2017
- Methodology for multi-stage, operations- and uncertainty-aware placement and sizing of facts devices in a large power transmission system
2017
- Power of ensemble control for demand response
2017
- Topology estimation in bulk power grids: Guarantees on exact recovery
2017
- Towards optimal sparse inverse covariance selection through non-convex optimization
2017
- Machine learning with PMU data
2017
- Graphical models and belief propagation-hierarchy for optimal physics-constrained network flows
2017
- Structure- & physics-preserving reductions of power grid models
2017
- Chapter 1 Ensemble Control of Cycling Energy Loads: Markov Decision Approach
2017
- Chance-constrained ADMM approach for decentralized control of distributed energy resources
2017
- Ensemble of thermostatically controlled loads: Statistical physics approach
2017
- Graphical models for optimal power flow
2017
- Gauging Variational Inference
2017
- Maximum weight matching using odd-sized cycles: Max-product belief propagation and half-integrality
2017
- MCMC assisted by Belief Propagation
2016
- Control policies for operational coordination of electric power and natural gas transmission systems
2016
- Monotonicity of Actuated Flows on Dissipative Transport Networks
2016
- Scalable optimal placement and sizing of facts devices using ac power flow model
2016
- Chance constrained optimal power flow with curtailment and reserves from wind power plants
2016
- Monotone Operator Approach to Power Flow Solutions
2016
- Estimating distribution grid topologies a graphical learning based approach
2016
- Monotone order properties for control of nonlinear parabolic PDE on graphs
2016
- Tractable Structure Learning in Radial Physical Flow Networks
2016
- Learning Topology of the Power Distribution Grid with and without Missing Data
2016
- Using power grid schedules in dynamic optimization of gas pipelines
2016
- Interaction screening: Efficient and sample-optimal learning of ising models
2016
- Linear PDEs and eigenvalue problems corresponding to ergodic stochastic optimization problems on compact manifolds
2016
- Assessing risk of gas shortage in coupled gas-electricity infrastructures
2016
- Machine Learning for the Grid
2016
- Impact of regulatory change to coordinate gas pipelines and power systems
2016
- Coordinated operational planning for integrated electric power and natural gas infrastructures
2016
- Sythesis of MCMC and Belief Propagation
2016
- Coordinated scheduling for interdependent electric power and natural gas infrastructures
2016
- Optimal power flow with wind power control and limited expected risk of overloads
2016
- Optimal placement and sizing of FACTS devices to delay transmission expansion
2016
- Learning Topology of Distribution Grids using only Terminal Node Measurements
2016
- Optimal Compression in Natural Gas Networks A Geometric Programming Approach
2015
- Learning planar ising models
2015
- Uncertainty sets for wind power generation
2015
- Placement and Sizing of Series Compensation (SC) and Static Var Compensation (SVC) devices in Transmission Grids: The Case of AC Power Flows
2015
- 2015 Index IEEE Transactions on Control of Network Systems Vol. 2
2015
- Solving the power flow equations: A monotone operator approach
2015
- Maximum throughput problem in dissipative flow networks with application to natural gas systems
2015
- Temperature-based instanton analysis identifying vulnerability in transmission networks
2015
- Structure Learning and Statistical Estimation in Distribution Networks - Part I
2015
- Structure learning and statistical estimation in distribution networks-Part II
2015
- Optimal Power Flow with Weighted chance constraints and general policies for generation control
2015
- Convexity of energy-like functions: theoretical results and applications to power system operations
2015
- Scalable Heuristics for Planning, Placement and Sizing of Flexible AC Transmission System Devices
2015
- Optimal control of transient flow in natural gas networks
2015
- Structure Learning in Power Distribution Networks
2015
- Temperature-based Instanton Analysis: Identifying Vulnerability in Transmission Networks
2015
- Convexity of structure preserving energy functions in power transmission novel results and applications
2015
- Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling
2015
- A differential analysis of the power flow equations
2015
- Fault-induced delayed voltage recovery in a long inhomogeneous power-distribution feeder
2015
- Extreme-value statistics of work done in stretching a polymer in a gradient flow
2015
- Model reduction and optimization of natural gas pipeline dynamics
2015
- Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows
2015
- Optimal Sizing of Voltage Control Devices for Distribution Circuit with Intermittent Load
2015
- Pressure fluctuations in natural gas networks caused by gas-electric coupling
2015
- Minimum Weight Perfect Matching via Blossom Belief Propagation
2015
- Natural gas flow solutions with guarantees: A monotone operator theory approach
2015
- Chance-Constrained Optimal Power Flow Risk-Aware Network Control under Uncertainty
2014
- Storage sizing and placement through operational and uncertainty-aware simulations
2014
- Chance-constrained optimal power flow: Risk-aware network control under uncertainty
2014
- Efficient algorithm for locating and sizing series compensation devices in large power transmission grids: I. model implementation
2014
- Optimal distributed control of reactive power via the alternating direction method of multipliers
2014
- Efficient Algorithm for Locating and Sizing Series Compensation Devices in Large Transmission Grids: Solutions and Applications (PART II)
2014
- Stochastic optimal control as non-equilibrium statistical mechanics calculus of variations over density and current
2014
- Optimization and control theory for smart grids
2014
- Optimal compression in natural gas networks: A geometric programming approach
2014
- Cascading of Fluctuations in Interdependent Energy Infrastructures. Gas-Grid Coupling
2014
- Efficient algorithm for locating and sizing series compensation devices in large power transmission grids II. Solutions and applications
2014
- Efficient synchronization stability metrics for fault clearing
2014
- A graphical transformation for belief propagation: Maximum weight matchings and odd-sized cycles
2013
- Improved linear programming decoding using frustrated cycles
2013
- Getting a grip on the electrical grid
2013
- Belief propagation for linear programming
2013
- Optimal Stochastic Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current
2013
- Reinforcing power grid transmission with facts devices
2013
- Sparsity-Promoting Optimal Wide-Area Control of Power Networks
2013
- Robust modeling of probabilistic uncertainty in smart grids data ambiguous chance constrained optimum power flow
2013
- Synchronization-aware and algorithm-efficient chance constrained optimal power flow
2013
- Stochastic optimal control as non-equilibrium statistical mechanics: Calculus of variations over density and current
2013
- Hysteresis, phase transitions, and dangerous transients in electrical power distribution systems
2013
- Sparse and optimal wide-area damping control in power networks
2013
- Approximating the Permanent with Fractional Belief Propagation
2013
- Smart Grid Control and Optimization
2013
- Loop calculus and bootstrap-belief propagation for perfect matchings on arbitrary graphs
2013
- 107th Statistical Mechanics Conference Rutgers University, Busch Campus, Hill Center, Room 114, Sunday–Tuesday, May 6–8, 2012
2012
- Chance Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty
2012
- Prediction and Control of Network Cascade: Example of Power Grid or Networking Adaptability from WMD Disruption and Cascading Failures
2012
- Fluid Mechanics=” Single”-Particle Control: From Control to Turbulence and Back
2012
- The Applied Mathematics for Power Systems (AMPS)
2012
- Distributed control of generation in a transmission grid with a high penetration of renewables
2012
- Synchronization assessment in power networks and coupled oscillators
2012
- Learning price-elasticity of smart consumers in power distribution systems
2012
- Mastering Uncertainty and Risk at Multiple Time Scales in the Future Electrical Grid
2012
- Synchronization in Complex Oscillator Networks and Smart Grids
2012
- DistFlow ODE modeling, analyzing and controlling long distribution feeder
2012
- Tail-constraining stochastic linear–quadratic control: a large deviation and statistical physics approach
2012
- Irreversible Monte Carlo algorithms for efficient sampling
2011
- Voltage collapse and ODE approach to power flows: Analysis of a feeder line with static disorder in consumption/production
2011
- The geometric universality of currents
2011
- Fluctuation Relations for Currents
2011
- Predicting Failures in Power Grids the Case of Static Overloads
2011
- Optimization and control theory for smart (power) grids
2011
- Statistical classification of cascading failures in power grids
2011
- An efficient instanton search algorithm for LP decoding of LDPC codes over the BSC
2011
- Operations-based planning for placement and sizing of energy storage in a grid with a high penetration of renewables
2011
- Polytope of correct (linear programming) decoding and low-weight pseudo-codewords
2011
- Models, Optimization and Control of Collective Phenomena in Power Grids
2011
- Exact and efficient algorithm to discover extreme stochastic events in wind generation over transmission power grids
2011
- Physics and/of Algorithms
2011
- Computing the permanent with belief propagation
2011
- Smart Finite State Devices: A Modeling Framework for Demand Response Technologies
2011
- Options for control of reactive power by distributed photovoltaic generators
2011
- Linear programming based detectors for two-dimensional intersymbol interference channels
2011
- Workshop Organization
2011
- Controlled tripping of overheated lines mitigates power outages
2011
- Universal velocity profile for coherent vortices in two-dimensional turbulence
2010
- Belief propagation and loop calculus for the permanent of a non-negative matrix
2010
- Predicting failures in power grids: The case of static overloads
2010
- Geometric universality of currents in an open network of interacting particles
2010
- Inference in particle tracking experiments by passing messages between images
2010
- Worst configurations (instantons) for compressed sensing over reals a channel coding approach
2010
- Non-Equilibrium Statistical Physics of Currents in Queuing Networks
2010
- Robust Broadcast-Communication Control of Electric Vehicle Charging
2010
- A majorization-minimization approach to design of power transmission networks
2010
- Non-Equilibrium Statistical Physics of Currents in Network Queuing
2010
- Statistical analysis of cascading failures in power grids
2010
- A majorization-minimization approach to design of power distribution networks
2010
- G ómez, Vicenç (NL-RUNJ-BIP); Kappen, Hilbert J.(NL-RUNJ-BIP)
2010
- Predicting failures in power grids
2010
- Local control of reactive power by distributed photovoltaic generators
2010
- Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid
2010
- Analysis of error floor of LDPC codes under LP decoding over the BSC
2009
- Bethe free energy approach to LDPC decoding on memory channels
2009
- Analysis of Error Floors of LDPC Codes under LP Decoding over the BSC
2009
- Counting independent sets using the Bethe approximation
2009
- Reactive Rayleigh-Taylor turbulence
2009
- Approximate inference on planar graphs using loop calculus and belief propagation
2009
- Planar graphical models which are easy
2009
- Orbit-product representation and correction of Gaussian belief propagation
2009
- Non-equilibrium thermodynamics and topology of currents
2009
- Reactive rayleigh–taylor turbulence
2009
- Self-similarity and universality in Rayleigh–Taylor, Boussinesq turbulence
2009
- Message passing for optimization and control of a power grid: Model of a distribution system with redundancy
2009
- Distributed control of reactive power flow in a radial distribution circuit with high photovoltaic penetration
2009
- Message Passing for Optimization and Control of Power Grid: Toy Model of Distribution with Ancillary Lines
2009
- Instanton-Based Techniques for Analysis and Reduction of Error Floors of LDPC Codes
2009
- Algorithmic and Combinatorial Methods to Discover Low Weight Pseudo-Codewords
2009
- An efficient pseudocodeword search algorithm for linear programming decoding of LDPC codes
2008
- Belief propagation and beyond for particle tracking
2008
- Belief propagation and loop series on planar graphs
2008
- Provably efficient instanton search algorithm for LP decoding of LDPC codes over the BSC
2008
- Exactness of belief propagation for some graphical models with loops
2008
- Loop Calculus for Satisfiability.
2008
- Fermions and loops on graphs II. A monomer-dimer model as a series of determinants
2008
- Loop calculus for satisfiability
2008
- Fermions and loops on graphs: I. Loop calculus for determinants
2008
- Exactness of Belief Propagation in the Zero Temperature Limit for Some Graphical Models with Loops
2008
- Searching for low weight pseudo-codewords
2007
- Reducing the Error Floor
2007
- Statistical geometry in homogeneous and isotropic turbulence
2007
- Three Lectures on Loop Calculus Approach to Graphical Models of Statistical Inference
2007
- Pseudo-codeword Landscape
2007
- Non-equilibrium thermodynamics for functionals of current and density
2007
- Strong effect of weak diffusion on scalar turbulence at large scales
2007
- Statistics of entropy production in linearized stochastic systems
2007
- Loop Calculus and Belief Propagation for q-ary Alphabet: Loop Tower
2007
- 2007 INFORMATION THEORY AND APPLICATIONS WORKSHOP, CONFERENCE PROCEEDINGS, ITA
2007
- General Physics: Statistical and Quantum Mechanics, Quantum Information, etc.-Statistics of Entropy Production in Linearized Stochastic Systems
2007
- Dynamics of energy condensation in two-dimensional turbulence
2007
- Loop calculus in statistical physics and information science
2006
- Loop calculus helps to improve belief propagation and linear programming decoding of LDPC codes
2006
- Path-integral analysis of fluctuation theorems for general Langevin processes
2006
- Improving convergence of belief propagation decoding
2006
- Statistics of work done by flow on a polymer
2006
- Statistical Properties of 2 Dimensional Turbulence in a Finite Box
2006
- Looping linear programming decoding of LDPC codes
2006
- Statistics of entropy generated by a gradient flow over polymer
2006
- Growing condensate in two-dimensional turbulence
2006
- Loop series for discrete statistical models on graphs
2006
- Loop calculus helps to improve belief propagation and linear programming decodings of low-density-parity-check codes
2006
- Instanton analysis of Low-Density Parity-Check codes in the error-floor regime
2006
- Scale dependence of the coarse-grained velocity derivative tensor: influence of large-scale shear on small-scale turbulence
2006
- Thermal behaviour of induction motors under different speeds
2005
- The error-floor of LDPC codes in the Laplacian channel
2005
- Polymer statistics in a random flow with mean shear
2005
- Effects of surface tension on immiscible Rayleigh-Taylor turbulence
2005
- Diagnosis of Weaknesses in Modern Error Correction Codes: A Physics Approach
2005
- Local theory of BER for LDPC codes: Instantons on a tree
2005
- Dynamical generalization of nonequilibrium work relation
2005
- Error correction on a tree: An instanton approach
2004
- Outage probability for soliton transmission
2004
- Periodic compensation of polarization mode dispersion
2004
- Methods and optical fibers that decrease pulse degradation resulting from random chromatic dispersion
2004
- PMD-induced fluctuations of bit-error rate in optical fiber systems
2004
- Tumbling of Polymers in a Random Flow with Mean Shear
2004
- Statistics of polymer extension in a random flow with mean shear
2004
- Inelastic interchannel collisions of pulses in optical fibers in the presence of third-order dispersion
2004
- Probability of anomalously large bit-error rate in long haul optical transmission
2003
- Acceleration of chemical reaction by chaotic mixing
2003
- Extreme Outages due to Polarization Mode Dispersion: Effects of Optical Filter and" Setting the Clock" Compensation
2003
- Boundary effects on chaotic advection-diffusion chemical reactions
2003
- Extreme outages caused by polarization mode dispersion
2003
- Shedding and interaction of solitons in weakly disordered optical fibers
2003
- PART 2-Classical physics, including nonlinear media and photonic materials-Probability of anomalously large bit-error rate in long haul optical transmission
2003
- Probability of anomalously large Bit-Error-Rate
2003
- Periodic and quasi-periodic compensation strategies of extreme outages caused by Polarization Mode Dispersion and amplifier noise
2003
- Decay of Scalar Turbulence Revisited
2003
- Compensation for extreme outages caused by polarization mode dispersion and amplifier noise
2003
- Preface
2003
- Interchannel interaction of optical solitons
2003
- Inelastic collisions between non-ideal solitons in optical fibers
2003
- Phenomenology of Rayleigh-Taylor Turbulence
2003
- Pinning method of pulse confinement in optical fiber with random dispersion
2002
- Statistical geometry and Lagrangian dynamics in turbulence
2001
- Pulse confinement in optical fibers with random dispersion
2001
- The Lagrangian view of energy transfer in turbulent flow
2001
- Statistical geometry and lagrangian dynamics of turbulence
2001
- Shedding and interaction of solitons in imperfect medium
2001
- Pulse dynamics in optical fibers with random dispersion
2001
- Turbulence in polymer solutions
2001
- Solitons in a disordered anisotropic optical medium
2001
- Geometry and statistics in Lagrangian dispersion
2000
- Optimal capacitor allocation in distribution systems using a genetic algorithm and a fast energy loss computation technique
2000
- TRANSMISSION AND DISTRIBUTION COMMITTEE-Optimal Capacitor Allocation in Distribution Systems Using a Genetic Algorithm and a Fast Energy Loss Computation Technique
2000
- Experimental method for synthesis of generalized thermal circuit of polyphase induction motors
2000
- Polymer stretching by turbulence
2000
- Geometry of Lagrangian Dispersion in Turbulence
2000
- Passive advection in nonlinear medium
1999
- Lagrangian tetrad dynamics and the phenomenology of turbulence
1999
- Heat conditions of a three-phase induction motor by a one-phase supply
1999
- Phys. Fluids
1999
- Direct-inverse cascade transition in random advection
1999
- Small-scale turbulent dynamo
1999
- Propagation of a Huygens Front Through Turbulent Medium
1998
- Inverse versus direct cascades in turbulent advection
1998
- Intermittency in Turbulence: Example of Passive Scalar
1998
- On how a joint interaction of two innocent partners (smooth advection and linear damping) produces a strong intermittency
1998
- Methods of no-load thermal testing of induction motors
1998
- Intermittent dissipation of a passive scalar in turbulence
1998
- Inverse cascade and intermittency of passive scalar in 1D smooth flow; Inverse cascade in multidimensional compressible flows.
1998
- Inverse cascade and intermittency of passive scalar in one-dimensional smooth flow
1997
- Instanton for random advection
1997
- Nonuniversality of the scaling exponents of a passive scalar convected by a random flow
1996
- Anomalous scaling exponents of a white-advected passive scalar
1996
- Theory of random advection in two dimensions
1996
- 4TH-ORDER CORRELATION-FUNCTION OF A RANDOMLY ADVECTED PASSIVE SCALAR
1995
- STATISTICS OF A PASSIVE SCALAR ADVECTED BY A LARGE-SCALE 2-DIMENSIONAL VELOCITY-FIELD - ANALYTIC SOLUTION
1995
- EQUILIBRIUM DYNAMICS OF A PARAMAGNETIC CLUSTER
1995
- The fourth-order correlation function of a randomly advected passive scalar
1995
- NORMAL AND ANOMALOUS SCALING OF THE 4TH-ORDER CORRELATION-FUNCTION OF A RANDOMLY ADVECTED PASSIVE SCALAR
1995
- Normal and anomalous scaling of the fourth-order correlation function of a randomly advected passive scalar
1995
- 1. Kolokolov, and V. Lebedev
1995
- Statistics of a passive scalar advected by a large-scale two-dimensional velocity field: Analytic solution
1995
- Equilibrium and nonequilibrium mean-field dynamics of quantum spin cluster
1994
- LONG-TIME DYNAMICS OF THE INFINITE-TEMPERATURE HEISENBERG MAGNET
1994
- PASSIVE SCALAR CONVECTION IN A 2D LONG-RANGE DELTA-CORRELATED VELOCITY-FIELD - EXACT RESULTS
1994
- Exact field-theoretical description of passive scalar convection in an N-dimensional long-range velocity field
1994
- Dynamics of N-spins Quantum Ferromagnet with Uniform Exchange: Exact Solution
1994
- Structural instability of two-dimensional turbulence
1994
- EXACT FIELD-THEORETICAL DESCRIPTION OF PASSIVE SCALAR CONVECTION IN AN N-DIMENSIONAL LONG-RANGE VELOCITY-FIELD
1994
- in an N-dimensional long-range velocity field
1994
- DETERMINATION OF HEAT STATE OF NORMAL LOAD INDUCTION-MOTORS BY A NO-LOAD TEST RUN
1993
- Local state representation in statistical mechanics of classical systems; 2, phase transitions in O (2)-systems
1992
- High-temperature phase of the 2D Coulomb gas model near the Kosterlitz-Thouless phase transition
1992
- Supersonic motion of a phase transition front
1990
- SUPERSONIC MOTION OF PHASE-TRANSITION FRONT
1990
- PHASE-TRANSITION FRONT MOTION UNDER STRONG SUPERCOOLING
1990
- Motion of the front of a phase transition under strong supercooling conditions
1990
- ELECTRON-BEAM WELDING PEARLITIC STEEL FITTING BODIES
1982