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Found 22 papers, 8 papers with code
Index-aware learning of circuits
Electrical circuits are present in a variety of technologies, making their design an important part of computer aided engineering.
Rational kernel-based interpolation for complex-valued frequency response functions
This work is concerned with the kernel-based approximation of a complex-valued function from data, where the frequency response function of a partial differential equation in the frequency domain is of particular interest.
Multi-Objective Optimization of Electrical Machines using a Hybrid Data-and Physics-Driven Approach
Magneto-static finite element (FE) simulations make numerical optimization of electrical machines very time-consuming and computationally intensive during the design stage.
Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines
Because of the different parametrization, design optimization is commonly executed separately for each machine technology.
Performance Analysis of Electrical Machines Using a Hybrid Data- and Physics-Driven Model
We present a data-driven deep learning approach that replaces the computationally heavy FE calculations by a deep neural network (DNN).
Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines
Conventional magneto-static finite element analysis of electrical machine design is time-consuming and computationally expensive.
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine
In this paper, a data-aided, deep learning-based meta-model is employed to predict the KPIs of an electrical machine quickly and with high accuracy to accelerate the full optimization process and reduce its computational costs.
Parallel-in-Time Solution of Eddy Current Problems Using Implicit and Explicit Time-stepping Methods
The time domain analysis of eddy current problems often requires the simulation of long time intervals, e. g. until a steady state is reached.
Numerical Analysis Numerical Analysis 34A09, 65L05, 65L80, 78-10
Magnetic Field Simulations Using Explicit Time Integration With Higher Order Schemes
The ODE system is integrated in time using the explicit Euler scheme, which is conditionally stable by a maximum time step size.
Computational Engineering, Finance, and Science
Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach
Quantification and minimization of uncertainty is an important task in the design of electromagnetic devices, which comes with high computational effort.
A Blackbox Yield Estimation Workflow with Gaussian Process Regression Applied to the Design of Electromagnetic Devices
In this paper an efficient and reliable method for stochastic yield estimation is presented.
Computational Engineering, Finance, and Science 60G15, 60H35, 78M31, G.1.8; G.3; I.6.3; J.2
Coupled Simulation of Transient Heat Flow and Electric Currents in Thin Wires: Application to Bond Wires in Microelectronic Chip Packaging
An important application is the use of bond wires in microelectronic chip packaging.
Computational Engineering, Finance, and Science
Automated Netlist Generation for 3D Electrothermal and Electromagnetic Field Problems
We present a method for the automatic generation of netlists describing general three-dimensional electrothermal and electromagnetic field problems.
Computational Engineering, Finance, and Science 35Q61, 35Q79, 65Z05, 78A25, 78M12, 94C99, 80A20, 80M25 I.6.3; J.2
Uncertainty quantification for an optical grating coupler with an adjoint-based Leja adaptive collocation method
By combining the Leja adaptive algorithm with an adjoint-based error indicator, an even smaller complexity is obtained.
Computational Engineering, Finance, and Science Numerical Analysis Computational Physics Optics 60H15, 60H35, 65N30, 78A40, 78M10 I.6.3; J.2; G.1.8
A Numerical Comparison of an Isogeometric and a Classical Higher-Order Approach to the Electric Field Integral Equation
In this paper, we advocate a novel spline-based isogeometric approach for boundary elements and its efficient implementation.
Computational Engineering, Finance, and Science
Isogeometric Boundary Elements in Electromagnetism: Rigorous Analysis, Fast Methods, and Examples
We present a new approach to three-dimensional electromagnetic scattering problems via fast isogeometric boundary element methods.
Numerical Analysis Numerical Analysis 65D07, 65N38, 65Y20
Multipatch Approximation of the de Rham Sequence and its Traces in Isogeometric Analysis
the respective energy spaces and provide approximation properties of the spline discretisations of trace spaces for application in the theory of isogeometric boundary element methods.
Numerical Analysis Numerical Analysis 65D07, 65N38
A New Parareal Algorithm for Problems with Discontinuous Sources
Our new Parareal algorithm uses a smooth input for the coarse problem with reduced dynamics.
Numerical Analysis Numerical Analysis 65L05, 65L20, 65L70, 65L80, 65M12
Systems of Differential Algebraic Equations in Computational Electromagnetics
Starting from space-discretisation of Maxwell's equations, various classical formulations are proposed for the simulation of electromagnetic fields.
Numerical Analysis Computational Physics 34A09, 35Q61, 78A25, 78M12, 65D30
A Fast Isogeometric BEM for the Three Dimensional Laplace- and Helmholtz Problems
We present an indirect higher order boundary element method utilising NURBS mappings for exact geometry representation and an interpolation-based fast multipole method for compression and reduction of computational complexity, to counteract the problems arising due to the dense matrices produced by boundary element methods.
Numerical Analysis 65M38 G.1.8; G.1.2
ParaExp using Leapfrog as Integrator for High-Frequency Electromagnetic Simulations
The overall solution is decomposed into a particular solution defined on each sub-interval with zero initial conditions and a homogeneous solution propagated by the matrix exponential applied to the initial conditions.
Numerical Analysis Computational Engineering, Finance, and Science Computational Physics 78A40, 74F15, 65M06, 65Y05 G.1.8; F.2.1; J.2
An Application of ParaExp to Electromagnetic Wave Problems
Recently, ParaExp was proposed for the time integration of hyperbolic problems.
Numerical Analysis 78A40, 74F15, 65M06, 65Y05 G.1.8, F.2.1, J.2
