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.
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ChaMP: Ein modellbasiertes Messverfahren zur Charakterisierung der frequenzabhängigen Materialeigenschaften von Piezokeramiken unter Verwendung eines einzelnen Probekörperindividuums
PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing
NEPTUN: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen
PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing
NEPTUN: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen
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Claes L, Meihost L, Jurgelucks B. Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks.; 2023.
Claes, L., Meihost, L., & Jurgelucks, B. (2023). Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks.
@book{Claes_Meihost_Jurgelucks_2023, place={GAMM Annual Meeting, Dresden}, title={Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks}, author={Claes, Leander and Meihost, Lars and Jurgelucks, Benjamin}, year={2023} }
Claes, Leander, Lars Meihost, and Benjamin Jurgelucks. Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks. GAMM Annual Meeting, Dresden, 2023.
L. Claes, L. Meihost, and B. Jurgelucks, Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks. GAMM Annual Meeting, Dresden, 2023.
Claes, Leander, et al. Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks. 2023.
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