A model-based measurement procedure for the characterization of frequency-dependent material properties of piezoceramics using a singleton specimen
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Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt durch neuronale Netze
K. Koch, L. Claes, B. Jurgelucks, L. Meihost, B. Henning, in: D. Gesellschaft für Akustik e.V. (Ed.), Fortschritte der Akustik - DAGA 2024, 2024, pp. 1113–1116.
Randomised material parameter impedance dataset of piezoelectric rings
K. Koch, O. Friesen, L. Claes, Randomised Material Parameter Impedance Dataset of Piezoelectric Rings, zenodo, 2024.
Randomised material parameter piezoelectric impedance dataset with structured electrodes
K. Koch, L. Claes, Randomised Material Parameter Piezoelectric Impedance Dataset with Structured Electrodes, zenodo, 2024.
Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks
L. Claes, L. Meihost, B. Jurgelucks, Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks, GAMM Annual Meeting, Dresden, 2023.
Parameter Identification of Piezoelectrics improved by Neural Networks
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B. Jurgelucks, Parameter Identification of Piezoelectrics Improved by Neural Networks, GAMM Annual Meeting, Dresden, 2023.