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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 06:22:39am CEST

Session Overview

Session

Oral Session 2: Model Order Reduction

Time:

Tuesday, 19/Sept/2023:

1:10pm - 2:30pm

Session Chair: Jan Sykulski
Session Chair: Thomas Bauernfeind

Location: Lecture Hall

Presentations

1:10pm - 1:30pm
ID: 121 / Oral Session 2: 1
Abstract submission for on-site presentation
Topics: Inverse problem, Application
Keywords: Multi-objective optimization, neural network surrogate model

Multi-objective Optimization of Inductors Based on Neural Network

Xiaohan Kong, Hajime Igarashi

Graduate School of Information Science and Technology, Hokkaido University, Japan

1:30pm - 1:50pm
ID: 125 / Oral Session 2: 2
Abstract submission for online presentation
Topics: Theoretical aspects and fundamentals
Keywords: Electromagnetic Computation, Neural Networks, Surrogate Models

Learning to solve Electromagnetic Problems: a Comparison among Different Machine Learning Approaches

Alessandro Formisano¹, Mauro Tucci²

¹Università della Campania "Luigi Vanvitelli", Italy; ²Università di Pisa, Italy

1:50pm - 2:10pm
ID: 102 / Oral Session 2: 3
Abstract submission for on-site presentation
Topics: Application, Algorithms
Keywords: Eddy currents, Gain tuning, Impulse response, Levitation devices, Model order reduction

Optimal Parameter Estimation for Conductor Movement Using Cauer Ladder Network Representation and Virtual Time-response Based Iterative Gain Evaluation and Redesign

Naoto Tanimoto¹, Atsuki Fujita¹, Kengo Sugahara¹, Manabu Kosaka¹, Yasuhito Takahashi², Tetsuji Matsuo³

¹Kindai University, Japan; ²Doshisya University, Japan; ³Kyoto University, Japan

2:10pm - 2:30pm
ID: 101 / Oral Session 2: 4
Abstract submission for on-site presentation
Topics: Algorithms
Keywords: EM-driven design, parameter tuning, global optimization, inverse modelling, simulation models

Globalized High-Frequency Optimization Using Inverse Models

Slawomir Koziel^1,2, Anna Pietrenko-Dabrowska²

¹Reykjavik University; ²Gdansk University of Technology

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