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Uncertainty Quantification for Geometry Deformations of Superconducting Cavities using Eigenvalue TrackingFeb 08 2018The electromagnetic field distribution as well as the resonating frequency of various modes in superconducting cavities are sensitive to small geometry deformations. The occurring variations are motivated by measurements of an available set of resonators ... More
A mixed finite element for weakly-symmetric elasticityFeb 08 2018We develop a finite element discretization for the weakly symmetric equations of linear elasticity on tetrahedral meshes. The finite element combines, for $r \geq 0$, discontinuous polynomials of $r$ for the displacement, $H(\mathrm{div})$-conforming ... More
Optimal data structures for stochastic driven simulationsFeb 07 2018Simulations where we have some prior information on the probability distribution of possible outcomes are common in many fields of science (physics, chemistry, biochemistry, etc). Optimal data structures that allow dynamic updates without regenerating ... More
A computational framework for microstructural modelling of polycrystalline materials with damage and failureFeb 06 2018In the present thesis, a computational framework for the analysis of the deformation and damage phenomena occurring at the micro-scale of polycrystalline materials is presented. Micro-mechanics studies are commonly performed using the Finite Element Method ... More
Generating virtual scenarios of multivariate financial data for quantitative trading applicationsFeb 06 2018In this paper, we present a novel approach to the generation of virtual scenarios of multivariate financial data of arbitrary length and composition of assets. With this approach, decades of realistic time-synchronized data can be simulated for a large ... More
The entropy of a thermodynamic graphJan 31 2018We introduce an algorithmic model of heat conduction, the thermodynamic graph. The thermodynamic graph is analogous to meshes in the finite difference method in the sense that the calculation of temperature is carried out at the vertices of the graph, ... More
An Energy Stable One-Field Fictitious Domain Method for Fluid-Structure InteractionsJan 28 2018In this article, the energy stability of a one-field fictitious domain method is proved and validated by numerical tests in two and three dimensions. The distinguishing feature of this method is that it only solves for one velocity field for the whole ... More
STEAM: A Hierarchical Co-Simulation Framework for Superconducting Accelerator Magnet CircuitsJan 26 2018Simulating the transient effects occurring in superconducting accelerator magnet circuits requires including the mutual electro-thermo-dynamic interaction among the circuit elements, such as power converters, magnets, and protection systems. Nevertheless, ... More
Machine Learning and Finite Element Method for Physical Systems ModelingJan 22 2018Modeling of physical systems includes extensive use of software packages that implement the accurate finite element method for solving differential equations considered along with the appropriate initial and boundary conditions. When the problem size ... More
High-level python abstractions for optimal checkpointing in inversion problemsJan 12 2018Inversion and PDE-constrained optimization problems often rely on solving the adjoint problem to calculate the gradient of the objec- tive function. This requires storing large amounts of intermediate data, setting a limit to the largest problem that ... More
Coupling of Magneto-Thermal and Mechanical Superconducting Magnet Models by Means of Mesh-Based InterpolationDec 29 2017In this paper we present an algorithm for the coupling of magneto-thermal and mechanical finite element models representing superconducting accelerator magnets. The mechanical models are used during the design of the mechanical structure as well as the ... More
Towards an Economic Analysis of Routing in Payment Channel NetworksNov 07 2017Payment channel networks are supposed to overcome technical scalability limitations of blockchain infrastructure by employing a special overlay network with fast payment confirmation and only sporadic settlement of netted transactions on the blockchain. ... More
A stencil scaling approach for accelerating matrix-free finite element implementationsSep 20 2017We present a novel approach to fast on-the-fly low order finite element assembly for scalar elliptic partial differential equations of Darcy type with variable coefficients optimized for matrix-free implementations. Our approach introduces a new operator ... More
Pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power SystemsSep 20 2017Pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of power systems. It is a full fledged power system analysis tool that provides power flow, optimal power flow, ... More
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder NetworksSep 15 2017Learning to detect fraud in large-scale accounting data is one of the long-standing challenges in financial statement audits or forensic investigations. Nowadays, the majority of applied techniques refer to handcrafted rules derived from known fraud scenarios. ... More
Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design ExplorationJul 26 2017The present study proposes a data-driven framework trained with high-fidelity simulation results to facilitate decision making for combustor designs. At its core is a surrogate model employing a machine-learning technique called kriging, which is combined ... More
Implementation, demonstration and validation of a user-defined wall-function for direct precipitation fouling in ANSYS FluentJun 02 2017In a previous paper (Johnsen et al., 2015) and presentation (Johnsen et al., 2016), we developed and demonstrated a generic modelling framework for the modelling of direct precipitation fouling from multi-component fluid mixtures that become super-saturated ... More
Boundedness-Preserving Implicit Correction of Mesh-Induced Errors for VoF Based Heat and Mass TransferMay 31 2017Jun 21 2017Spatial discretisation of geometrically complex computational domains often entails unstructured meshes of general topology for Computational Fluid Dynamics (CFD). Mesh skewness is then typically encountered causing severe deterioration of the formal ... More
The Eclipse Integrated Computational EnvironmentMar 31 2017Jun 11 2017Problems in modeling and simulation require significantly different workflow management technologies than standard grid-based workflow management systems. Computational scientists typically interact with simulation software in a feedback driven way were ... More
Heterogeneity Preserving Upscaling for Heat Transport in Fractured Geothermal ReservoirsFeb 20 2017In simulation of fluid injection in fractured geothermal reservoirs, the characteristics of the physical processes are severely affected by the local occurence of connected fractures. To resolve these structurally dominated processes, there is a need ... More
Benchmarks for single-phase flow in fractured porous mediaJan 05 2017This paper presents several test cases intended to be benchmarks for numerical schemes for single-phase fluid flow in fractured porous media. A number of solution strategies are compared, including a vertex and a cell-centered finite volume method, a ... More
Computer Algebra and Material DesignDec 06 2016This article is intended to an introductory lecture in material physics, in which the modern computational group theory and the electronic structure calculation are in collaboration. The effort of mathematicians in field of the group theory, have ripened ... More
A One-Field Monolithic Fictitious Domain Method for Fluid-Structure InteractionsDec 05 2016In this article, we present a one-field monolithic fictitious domain (FD) method for simulation of general fluid-structure interactions (FSI). One-field means only one velocity field is solved in the whole domain, based upon the use of an appropriate ... More
Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFISDec 02 2016This paper presents the development of a hybrid learning system based on Support Vector Machines (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS) and domain knowledge to solve prediction problem. The proposed two-stage Domain Knowledge based Fuzzy ... More
Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion ModelsDec 01 2016European options can be priced by solving parabolic partial(-integro) differential equations under stochastic volatility and jump-diffusion models like Heston, Merton, and Bates models. American option prices can be obtained by solving linear complementary ... More
Multi-objective Active Control Policy Design for Commensurate and Incommensurate Fractional Order Chaotic Financial SystemsNov 29 2016In this paper, an active control policy design for a fractional order (FO) financial system is attempted, considering multiple conflicting objectives. An active control template as a nonlinear state feedback mechanism is developed and the controller gains ... More
Geodesic equations and their numerical solutions in geodetic and Cartesian coordinates on an oblate spheroidNov 28 2016The direct geodesic problem on an oblate spheroid is described as an initial value problem and is solved numerically in geodetic and Cartesian coordinates. The geodesic equations are formulated by means of the theory of differential geometry. The initial ... More
Variational inequality approach to enforce the non-negative constraint for advection-diffusion equationsNov 26 2016Predictive simulations are crucial for the success of many subsurface applications, and it is highly desirable to obtain accurate non-negative solutions for transport equations in these numerical simulations. In this paper, we propose a computational ... More
Variational inequality approach to enforce the non-negative constraint for advection-diffusion equationsNov 26 2016Dec 04 2016Predictive simulations are crucial for the success of many subsurface applications, and it is highly desirable to obtain accurate non-negative solutions for transport equations in these numerical simulations. In this paper, we propose a computational ... More
A Defect Corrected Finite Element Approach for the Accurate Evaluation of Magnetic Fields on Unstructured GridsNov 25 2016In electromagnetic simulations of magnets and machines one is often interested in a highly accurate and local evaluation of the magnetic field uniformity. Based on local post-processing of the solution, a defect correction scheme is proposed as an easy ... More
Researches on Dynamic Load Balancing Algorithms and hp-Adaptivity in 3-D Parallel Adaptive Finite Element ComputationsNov 24 2016This work is related to PHG (Parallel Hierarchical Grid). PHG is a toolbox for developing parallel adaptive finite element programs, which is under active development at the State Key Laboratory of Scientific and Engineering Computing. The main results ... More
Low-Dimensional Stochastic Modeling of the Electrical Properties of Biological TissuesNov 22 2016Uncertainty quantification plays an important role in biomedical engineering as measurement data is often unavailable and literature data shows a wide variability. Using state-of-the-art methods one encounters difficulties when the number of random inputs ... More
High-Performance and Distributed Computing in a Probabilistic Finite Element Comparison Study of the Human Lower Leg Model with Total Knee ReplacementNov 22 2016Reliability theory is used to assess the sensitivity of a passive flexion and active flexion of the human lower leg Finite Element (FE) models with Total Knee Replacement (TKR) to the variability in the input parameters of the respective FE models. The ... More
High-Performance and Distributed Computing in a Probabilistic Finite Element Comparison Study of the Human Lower Leg Model with Total Knee ReplacementNov 22 2016Nov 26 2016Reliability theory is used to assess the sensitivity of a passive flexion and active flexion of the human lower leg Finite Element (FE) models with Total Knee Replacement (TKR) to the variability in the input parameters of the respective FE models. The ... More
Discretization of Maxwell's Equations for Non-inertial Observers Using Space-Time AlgebraNov 21 2016We employ Maxwell's equations formulated in Space-Time Algebra to perform discretization of moving geometries directly in space-time. All the derivations are carried out without any non-relativistic assumptions, thus the application area of the scheme ... More
Multiple Right-Hand Side Techniques in Semi-Explicit Time Integration Methods for Transient Eddy Current ProblemsNov 21 2016The spatially discretized magnetic vector potential formulation of magnetoquasistatic field problems is transformed from an infinitely stiff differential algebraic equation system into a finitely stiff ordinary differential equation (ODE) system by application ... More
Geometrically exact beam elements and smooth contact schemes for the modeling of fiber-based materials and structuresNov 19 2016Recently, the authors have proposed a novel all-angle beam contact (ABC) formulation that combines the advantages of existing point and line contact models in a variationally consistent manner. However, the ABC formulation has so far only been applied ... More
Studying the influence of inclusion characteristics on the characteristic length involved in quasi-brittle materials using the lattice element methodNov 19 2016Unlike nonlocal models, there is no need to introduce an internal length in the constitutive law for lattice model at the mesoscopic scale. Actually, the internal length is not explicitly introduced but rather governed by the mesostructure characteristics ... More
A Novel Single-Source Surface Integral Method to Compute Scattering from Dielectric ObjectsNov 18 2016Using the traditional surface integral methods, the computation of scattering from a dielectric object requires two equivalent current densities on the boundary of the dielectric. In this paper, we present an approach that requires only a single current ... More
High-Frequency Modeling and Simulation of a Single-Phase Three-Winding Transformer Including Taps in Regulating WindingNov 17 2016Transformer terminal equivalents obtained via admittance measurements are suitable for simulating high-frequency transient interaction between the transformer and the network. This paper augments the terminal equivalent approach with a measurement-based ... More
Map-aided Dead-reckoning --- A Study on Locational Privacy in Insurance TelematicsNov 14 2016We present a particle-based framework for estimating the position of a vehicle using map information and measurements of speed. Two measurement functions are considered. The first is based on the assumption that the lateral force on the vehicle does not ... More
Development of a data model to facilitate rapid Watershed DelineationNov 11 2016A data model to store and retrieve surface watershed boundaries using graph theoretic approaches is proposed. This data model integrates output from a standard digital elevation models (DEM) derived stream catchment boundaries, and vector representation ... More
Practical Interpolation for Spectrum Cartography through Local Path Loss ModelingNov 10 2016A fundamental building block for supporting better utilization of radio spectrum involves predicting the impact that an emitter will have at different geographic locations. To this end, fixed sensors can be deployed to spatially sample the RF environment ... More
A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and ApplicationsNov 07 2016Fabrication process variations are a major source of yield degradation in the nano-scale design of integrated circuits (IC), microelectromechanical systems (MEMS) and photonic circuits. Stochastic spectral methods are a promising technique to quantify ... More
Practical scalability assesment for parallel scientific numerical applicationsNov 05 2016The concept of scalability analysis of numerical parallel applications has been revisited, with the specific goals defined for the performance estimation of research applications. A series of Community Climate Model System (CCSM) numerical simulations ... More
International Portfolio Optimisation with Integrated Currency Overlay Costs and ConstraintsNov 04 2016Portfolio optimisation typically aims to provide an optimal allocation that minimises risk, at a given return target, by diversifying over different investments. However, the potential scope of such risk diversification can be limited if investments are ... More
Sensitivity analysis on chaotic dynamical system by Non-Intrusive Least Square Shadowing (NILSS)Nov 03 2016Nov 26 2016This paper develops the tangent Non-Intrusive Least Square Shadowing (NILSS) method, which computes the sensitivity for long-time averaged objectives in chaotic dynamical systems. In NILSS, we represent a tangent solution as a linear combination of a ... More
Sensitivity analysis on chaotic dynamical system by Non-Intrusive Least Square Shadowing (NILSS)Nov 03 2016Nov 21 2016This paper develops the tangent Non-Intrusive Least Square Shadowing (NILSS) method, which computes the sensitivity for long-time averaged objectives in chaotic dynamical systems. In NILSS, we represent a tangent solution as a linear combination of a ... More
Sensitivity analysis on chaotic dynamical system by Non-Intrusive Least Square Shadowing (NILSS)Nov 03 2016Nov 08 2016This paper develops the tangent Non-Intrusive Least Square Shadowing (NILSS) method, which computes sensitivity for chaotic dynamical systems. In NILSS, a tangent solution is represented as a linear combination of a inhomogeneous tangent solution and ... More
Sensitivity analysis on chaotic dynamical system by Non-Intrusive Least Square Shadowing (NILSS)Nov 03 2016This paper develops the tangent Non-Intrusive Least Square Shadowing (NILSS) method, which computes sensitivity for chaotic dynamical systems. In NILSS, a tangent solution is represented as a linear combination of a inhomogeneous tangent solution and ... More
Dual Quaternion Variational Integrator for Rigid Body Dynamic SimulationNov 02 2016We introduce a symplectic dual quaternion variational integrator(DQVI) for simulating single rigid body motion in all six degrees of freedom. Dual quaternion is used to represent rigid body kinematics and one-step Lie group variational integrator is used ... More
Modal Analysis of Masonry StructuresNov 02 2016This paper presents a new numerical procedure for evaluating the vibration frequencies and mode shapes of masonry buildings in the presence of cracks. The algorithm has been implemented within the NOSA-ITACA code, which models masonry as a nonlinear elastic ... More
Algebraic Multigrid Preconditioners for Multiphase Flow in Porous MediaNov 01 2016Multiphase flow is a critical process in a wide range of applications, including carbon sequestration, contaminant remediation, and groundwater management. Typically, this process is modeled by a nonlinear system of partial differential equations derived ... More
Hydropower optimization: an industrial approachOct 31 2016Nowadays hydroelectric energy is one of the best energy sources: it is cleaner, safer and more programmable than other sources. For this reason, its manage could not be done in an approssimative way, but advance mathematical models must be use. In this ... More
Parallel adaptive integration in high-performance functional Renormalization Group computationsOct 31 2016The conceptual framework provided by the functional Renormalization Group (fRG) has become a formidable tool to study correlated electron systems on lattices which, in turn, provided great insights to our understanding of complex many-body phenomena, ... More
Hybrid CPU-GPU generation of the Hamiltonian and Overlap matrices in FLAPW methodsOct 31 2016In this paper we focus on the integration of high-performance numerical libraries in ab initio codes and the portability of performance and scalability. The target of our work is FLEUR, a software for electronic structure calculations developed in the ... More
Generalization of Quadratic Manifolds for Reduced Order Modeling of Nonlinear Structural DynamicsOct 31 2016In this paper, a generalization of a quadratic manifold approach for the reduction of geometrically nonlinear structural dynamics problems is presented. This generalization is constructed by a linearization of the static force with respect to the generalized ... More
A Quadratic Manifold for Model Order Reduction of Nonlinear Structural DynamicsOct 31 2016This paper describes the use of a quadratic manifold for the model order reduction of structural dynamics problems featuring geometric nonlinearities. The manifold is tangent to a subspace spanned by the most relevant vibration modes, and its curvature ... More
CHOPtrey: contextual online polynomial extrapolation for enhanced multi-core co-simulation of complex systemsOct 28 2016The growing complexity of Cyber-Physical Systems (CPS), together with increasingly available parallelism provided by multi-core chips, fosters the parallelization of simulation. Simulation speed-ups are expected from co-simulation and parallelization ... More
Simulating Organogenesis in COMSOL: Phase-Field Based Simulations of Embryonic Lung Branching MorphogenesisOct 28 2016Organogenesis has been studied for decades, but fundamental questions regarding the control of growth and shape remain unsolved. We have recently shown that of all proposed mathematical models only ligand-receptor based Turing models successfully reproduce ... More
Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic ConductivityOct 21 2016Saturated hydraulic conductivity Ksat is a fundamental characteristic in modeling flow and contaminant transport in soils and sediments. Therefore, many models have been developed to estimate Ksat from easily measureable parameters, such as textural properties, ... More
Stabilized Sparse Scaling Algorithms for Entropy Regularized Transport ProblemsOct 20 2016Scaling algorithms for entropic transport-type problems have become a very popular numerical method, encompassing Wasserstein barycenters, multi-marginal problems, gradient flows and unbalanced transport. However, a standard implementation of the scaling ... More
Shape-based defect classification for Non Destructive TestingOct 18 2016The aim of this work is to classify the aerospace structure defects detected by eddy current non-destructive testing. The proposed method is based on the assumption that the defect is bound to the reaction of the probe coil impedance during the test. ... More
Simulation of electrical machines - A FEM-BEM coupling schemeOct 18 2016Electrical machines commonly consist of moving and stationary parts. The field simulation of such devices can be very demanding if the underlying numerical scheme is solely based on a domain discretization, such as in case of the Finite Element Method ... More
Simulation of electrical machines - A FEM-BEM coupling schemeOct 18 2016Oct 22 2016Electrical machines commonly consist of moving and stationary parts. The field simulation of such devices can be very demanding if the underlying numerical scheme is solely based on a domain discretization, such as in case of the Finite Element Method ... More
An algorithmic comparison of the Hyper-Reduction and the Discrete Empirical Interpolation Method for a nonlinear thermal problemOct 17 2016An algorithmic summary and comparison of the methodological and numerical properties of competing parametric model reduction techniques is presented for a planar nonlinear thermal conduction problem. First, the Galerkin reduced basis (RB) formulation ... More
Three-dimensional nonlinear micro/meso-mechanical response of the fibre-reinforced polymer compositesOct 14 2016A three-dimensional multi-scale computational homogenisation framework is developed for the prediction of nonlinear micro/meso-mechanical response of the fibre-reinforced polymer (FRP) composites. Two dominant damage mechanisms, i.e. matrix elasto-plastic ... More
Automatic Generation of Equivalent Electrothermal SPICE Netlists from 3D Electrothermal Field ModelsOct 14 2016Starting from a 3D electrothermal field problem discretized by the Finite Integration Technique, the equivalence to a circuit description is shown by exploiting the analogy to the Modified Nodal Analysis approach. Using this analogy, an algorithm for ... More
Electrothermal Simulation of Bonding Wire Degradation under Uncertain GeometriesOct 14 2016In this paper, electrothermal field phenomena in electronic components are considered. This coupling is tackled by multiphysical field simulations using the Finite Integration Technique (FIT). In particular, the design of bonding wires with respect to ... More
The Curvature-Augmented Closest Point Method with Vesicle Inextensibility ApplicationOct 13 2016The Closest Point method, initially developed by Ruuth and Merriman, allows for the numerical solution of surface partial differential equations without the need for a parameterization of the surface itself. Surface quantities are embedded into the surrounding ... More
A Continuous Model of Cortical ConnectivityOct 12 2016We present a continuous model for structural brain connectivity based on the Poisson point process. The model treats each streamline curve in a tractography as an observed event in connectome space, here a product space of cortical white matter boundaries. ... More
On the optimal experimental design for heat and moisture parameter estimationOct 12 2016In the context of estimating material properties of porous walls based on in-site measurements and identification method, this paper presents the concept of Optimal Experiment Design (OED). It aims at searching the best experimental conditions in terms ... More
Multi-scale computational homogenisation to predict the long-term durability of composite structuresOct 11 2016Oct 13 2016A coupled hygro-thermo-mechanical computational model is proposed for fibre reinforced polymers, formulated within the framework of Computational Homogenisation (CH). At each macrostructure Gauss point, constitutive matrices for thermal, moisture transport ... More
Efficient molecular dynamics simulations with many-body potentials on graphics processing unitsOct 11 2016Graphics processing units have been extensively used to accelerate classical molecular dynamics simulations. However, there is much less progress on the acceleration of force evaluations for many-body potentials compared to pairwise ones. In the conventional ... More
High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train DecompositionOct 11 2016The temperature developed in bondwires of integrated circuits (ICs) is a possible source of malfunction, and has to be taken into account during the design phase of an IC. Due to manufacturing tolerances, a bondwire's geometrical characteristics are uncertain ... More
High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train DecompositionsOct 11 2016Nov 28 2016The temperature developed in bondwires of integrated circuits (ICs) is a possible source of malfunction, and has to be taken into account during the design phase of an IC. Due to manufacturing tolerances, a bondwire's geometrical characteristics are uncertain ... More
High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train DecompositionOct 11 2016Oct 14 2016The temperature developed in bondwires of integrated circuits (ICs) is a possible source of malfunction, and has to be taken into account during the design phase of an IC. Due to manufacturing tolerances, a bondwire's geometrical characteristics are uncertain ... More
Modeling of Spatial Uncertainties in the Magnetic ReluctivityOct 10 2016In this paper a computationally efficient approach is suggested for the stochastic modeling of an inhomogeneous reluctivity of magnetic materials. These materials can be part of electrical machines, such as a single phase transformer (a benchmark example ... More
Research and Education in Computational Science and EngineeringOct 09 2016Oct 11 2016Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the ... More
Research and Education in Computational Science and EngineeringOct 09 2016Oct 17 2016Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the ... More
Real-time error controlled adaptive mesh refinement: Application to needle insertion simulationOct 08 2016Oct 11 2016This paper presents the first real-time discretization-error-driven adaptive finite element approach for corotational elasticity problems involving strain localization. We propose a hexahedron-based finite element method, combined with a posteriori error ... More
Simulation of flow and view with applications in computational design of settlement layoutsOct 07 2016We present methodology, algorithms and software for evaluating flow and view for architectural settlement layouts. For a given settlement layout consisting of a number of buildings arbitrarily positioned on a piece of land, in the present study an island ... More
Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance ComputersOct 07 2016Stochastic, spatial reaction-diffusion simulations have been widely used in systems biology and computational neuroscience. However, the increasing scale and complexity of simulated models and morphologies have exceeded the capacity of any serial implementation. ... More
An oversampling technique for the multiscale finite volume method to simulate electromagnetic responses in the frequency domainOct 07 2016In order to reduce the computational cost of the simulation of electromagnetic responses in geophysical settings that involve highly heterogeneous media, we develop a multiscale finite volume method with oversampling for the quasi-static Maxwell's equations ... More
A Framework for the Upscaling of the Electrical Conductivity in the Quasi-static Maxwell's EquationsOct 07 2016Electromagnetic simulations of complex geologic settings are computationally expensive. One reason for this is the fact that a fine mesh is required to accurately discretize the electrical conductivity model of a given setting. This conductivity model ... More
Effective Classification of MicroRNA Precursors Using Combinatorial Feature Mining and AdaBoost AlgorithmsOct 06 2016MicroRNAs (miRNAs) are non-coding RNAs with approximately 22 nucleotides (nt) that are derived from precursor molecules. These precursor molecules or pre-miRNAs often fold into stem-loop hairpin structures. However, a large number of sequences with pre-miRNA-like ... More
Advancing parabolic operators in thermodynamic MHD models: Explicit super time-stepping versus implicit schemes with Krylov solversOct 05 2016We explore the performance and advantages/disadvantages of using unconditionally stable explicit super time-stepping (STS) algorithms versus implicit schemes with Krylov solvers for integrating parabolic operators in thermodynamic MHD models of the solar ... More
A thermodynamic approach to nonlinear ultrasonics for material state awareness and prognosisOct 03 2016We develop a thermodynamic framework for modeling nonlinear ultrasonic damage sensing and prognosis in materials undergoing progressive damage. The framework is based on the internal variable approach and relies on the construction of a pseudo-elastic ... More
Salt Reconstruction in Full Waveform Inversion with a Parametric Level-Set MethodOct 02 2016Seismic full-waveform inversion tries to estimate subsurface medium parameters from seismic data. Areas with subsurface salt bodies are of particular interest because they often have hydrocarbon reservoirs on their sides or underneath. Accurate reconstruction ... More
Energy consistent framework for continuously evolving 3D crack propagationSep 30 2016This paper presents a formulation for brittle fracture in 3D elastic solids within the context of configurational mechanics. The local form of the first law of thermodynamics provides a condition for equilibrium of the crack front. The direction of the ... More
On the Solution of Large-Scale Robust Transmission Network Expansion Planning under Uncertain Demand and Generation CapacitySep 26 2016Two-stage robust optimization has emerged as a relevant approach to deal with uncertain demand and generation capacity in the transmission network expansion planning problem. Unfortunately, available solution methodologies for the resulting trilevel robust ... More
Appraisal of data-driven and mechanistic emulators of nonlinear hydrodynamic urban drainage simulatorsSep 25 2016Many model based scientific and engineering methodologies, such as system identification, sensitivity analysis, optimization and control, require a large number of model evaluations. In particular, model based real-time control of urban water infrastructures ... More
A survey on stochastic multi-scale modeling in biomechanics: computational challengesSep 25 2016During the last decade, multi-scale models in mechanics, bio-mechanics and life sciences have gained increasing attention. Using multi-scale approaches, effects on different time and length scales, such as, e.g., cellular and organ scale, can be coupled ... More
A Stable FDTD Method with Embedded Reduced-Order ModelsSep 22 2016The computational efficiency of the Finite-Difference Time-Domain (FDTD) method can be significantly reduced by the presence of complex objects with fine features. Small geometrical details impose a fine mesh and a reduced time step, significantly increasing ... More
Modelling Stock-market Investors as Reinforcement Learning Agents [Correction]Sep 20 2016Decision making in uncertain and risky environments is a prominent area of research. Standard economic theories fail to fully explain human behaviour, while a potentially promising alternative may lie in the direction of Reinforcement Learning (RL) theory. ... More
Uncertainty Analysis of Simple Macroeconomic Models Using Angel-Daemon GamesSep 19 2016We propose the use of an angel-daemon framework to perform an uncertainty analysis of short-term macroeconomic models with exogenous components. An uncertainty profile $\mathcal U$ is a short and macroscopic description of a potentially perturbed situation. ... More
Determination of Bond Wire Failure Probabilities in Microelectronic PackagesSep 18 2016This work deals with the computation of industry-relevant bond wire failure probabilities in microelectronic packages. Under operating conditions, a package is subject to Joule heating that can lead to electrothermally induced failures. Manufacturing ... More
Inverse Problems with Invariant Multiscale StatisticsSep 18 2016We propose a new approach to linear ill-posed inverse problems. Our algorithm alternates between enforcing two constraints: the measurements and the statistical correlation structure in some transformed space. We use a non-linear multiscale scattering ... More
Inverse Problems with Invariant Multiscale StatisticsSep 18 2016Nov 29 2016We propose a new approach to linear ill-posed inverse problems. Our algorithm alternates between enforcing two constraints: the measurements and the statistical correlation structure in some transformed space. We use a non-linear multiscale scattering ... More
From the Skin-Depth Equation to the Inverse RFEC Sensor ModelSep 15 2016In this paper, we tackle the direct and inverse problems for the Remote-Field Eddy-Current (RFEC) technology. The direct problem is the sensor model, where given the geometry the measurements are obtained. Conversely, the inverse problem is where the ... More