{"citation":{"ama":"Claes L, Meihost L, Jurgelucks B. <i>Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks</i>.; 2023.","apa":"Claes, L., Meihost, L., &#38; Jurgelucks, B. (2023). <i>Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks</i>.","chicago":"Claes, Leander, Lars Meihost, and Benjamin Jurgelucks. <i>Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks</i>. GAMM Annual Meeting, Dresden, 2023.","mla":"Claes, Leander, et al. <i>Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks</i>. 2023.","ieee":"L. Claes, L. Meihost, and B. Jurgelucks, <i>Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks</i>. GAMM Annual Meeting, Dresden, 2023.","bibtex":"@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} }","short":"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."},"language":[{"iso":"eng"}],"_id":"45455","place":"GAMM Annual Meeting, Dresden","year":"2023","date_created":"2023-06-05T07:24:38Z","author":[{"id":"11829","last_name":"Claes","first_name":"Leander","full_name":"Claes, Leander","orcid":"0000-0002-4393-268X"},{"full_name":"Meihost, Lars","last_name":"Meihost","first_name":"Lars","id":"24769"},{"full_name":"Jurgelucks, Benjamin","first_name":"Benjamin","last_name":"Jurgelucks"}],"status":"public","user_id":"11829","type":"misc","date_updated":"2023-06-05T07:53:53Z","title":"Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks","project":[{"name":"ChaMP: Ein modellbasiertes Messverfahren zur Charakterisierung der frequenzabhängigen Materialeigenschaften von Piezokeramiken unter Verwendung eines einzelnen Probekörperindividuums","_id":"90"},{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"},{"_id":"108","name":"NEPTUN: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen","grant_number":"FOR 5208"}],"department":[{"_id":"49"}]}