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Scientific Computing in Electrical Engineering
Details
The conference has an interdisciplinary focus and aims to bring together scientists mathematicians, electrical engineers, computer scientists, and physicists, from universities and industry to have in-depth discussions of the latest scientific results in Computational Science and Engineering relevant to Electrical Engineering and to stimulate and inspire active participation of young researchers.
Inhalt
Part I Circuit Simulation and Design.- Efficient model reduction of myelinated compartments as port-Hamiltonian systems.- Towards a Parallel-in-Time Calculation of Time-Periodic Solutions with Unknown Period.- On the Exactness of Rational Polynomial Chaos Formulation for the Uncertainty Quantification of Linear Circuits in the Frequency Domain.- Parallel-in-Time Simulation of Power Converters Using Multirate PDEs.- Part II Device Simulation.- A Maximum Principle for Drift-Diffusion Equations and the Scharfetter-Gummel Discretization.- Numerical calculation of electronic properties of transition metal-doped mWS2 via DFT.- Numerical simulation of thermal conductivity of silicon nanowires.- A Novel Surface Mesh Simplification Method for Flux-Dependent Topography Simulations of Semiconductor Fabrication Processes.- Simulations of a novel DG-GFET.- Part III Computational Electromagnetics.- Electric Circuit Element Boundary Conditions in the Finite Element Method for Full-Wave Frequency Domain Passive Devices.- A convolution quadrature method for Maxwell's equations in dispersive media.- On the stability of harmonic coupling methods with application to electric machines.- Dielectric Breakdown Prediction with GPU-Accelerated BEM.- Empirical Analysis of a Coaxial Microwave Structure with Finite Transmission Zero.- Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation.- A Comparison Between Different Formulations for Solving Axisymmetric Time-Harmonic Electromagnetic Wave Problems.- The Magnetization Analysis of Motor Magnet and its Influence on Cogging Torque.- Part IV Mathematical and Computational Methods.- A Combination of Model Order Reduction and Multirate Techniques for Coupled Dynamical Systems.- Waveform relaxation for low frequency coupled field/circuit differential-algebraic models of index 2.- Splitting Methods for Linear Circuit DAEs of Index 1 in port-Hamiltonian Form.- Reduced order modelling for wafer heating with the Method of Freezing.- Multirate DAE-Simulation and its Application in System Simulation Software for the Development of Electric Vehicles.- A hysteresis loss model for Tellinen's scalar hysteresis model.- Hybrid Modeling: Towards the Next Level of Scientific Computing in Engineering.- Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems.- Modeling of Thermoelectric Generator via Parametric Model Order Reduction Based on Modified Matrix Interpolation.- Nonlinear Model Order Reduction of a Thermal Human Torso Model.- Multi-Level Iterations for Microgrid Control with Automatic Level Choice.- Multi-Level Inversion Based On Mesh Decoupling.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030842376
- Lesemotiv Verstehen
- Genre Maths
- Auflage 1st edition 2021
- Editor Martijn van Beurden, Wil Schilders, Neil Budko
- Anzahl Seiten 332
- Herausgeber Springer International Publishing
- Größe H241mm x B160mm x T24mm
- Jahr 2022
- EAN 9783030842376
- Format Fester Einband
- ISBN 3030842371
- Veröffentlichung 12.03.2022
- Titel Scientific Computing in Electrical Engineering
- Untertitel SCEE 2020, Eindhoven, The Netherlands, February 2020
- Gewicht 664g
- Sprache Englisch