##### KMap

#### 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)

- 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

- Learning in Power Distribution Grids under Correlated Injections
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

- Estimating topology and injection statistics in distribution grids with hidden nodes
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

- Passive scalar convection in a 2D long-range delta-correlated velocity field: exact results
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

- Functional integral and effective Hamiltonian tJV model of strongly correlated electron system
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