[{"type":"misc","status":"public","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"},{"_id":"245","name":"FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen (NEPTUN)"}],"_id":"55416","user_id":"11829","department":[{"_id":"49"}],"language":[{"iso":"eng"}],"year":"2024","place":"International Workshop on Piezoelectric Materials and Applications (IWPMA)","citation":{"mla":"Claes, Leander, et al. <i>Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation</i>. 2024.","short":"L. Claes, K. Koch, O. Friesen, L. Meihost, Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation, International Workshop on Piezoelectric Materials and Applications (IWPMA), 2024.","bibtex":"@book{Claes_Koch_Friesen_Meihost_2024, place={International Workshop on Piezoelectric Materials and Applications (IWPMA)}, title={Machine learning in inverse measurement problems: An application to piezoelectric material characterisation}, author={Claes, Leander and Koch, Kevin and Friesen, Olga and Meihost, Lars}, year={2024} }","apa":"Claes, L., Koch, K., Friesen, O., &#38; Meihost, L. (2024). <i>Machine learning in inverse measurement problems: An application to piezoelectric material characterisation</i>.","ieee":"L. Claes, K. Koch, O. Friesen, and L. Meihost, <i>Machine learning in inverse measurement problems: An application to piezoelectric material characterisation</i>. International Workshop on Piezoelectric Materials and Applications (IWPMA), 2024.","chicago":"Claes, Leander, Kevin Koch, Olga Friesen, and Lars Meihost. <i>Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation</i>. International Workshop on Piezoelectric Materials and Applications (IWPMA), 2024.","ama":"Claes L, Koch K, Friesen O, Meihost L. <i>Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation</i>.; 2024."},"date_updated":"2026-01-05T07:57:27Z","date_created":"2024-07-29T12:34:21Z","author":[{"id":"11829","full_name":"Claes, Leander","orcid":"0000-0002-4393-268X","last_name":"Claes","first_name":"Leander"},{"last_name":"Koch","full_name":"Koch, Kevin","first_name":"Kevin"},{"full_name":"Friesen, Olga","id":"44026","last_name":"Friesen","first_name":"Olga"},{"last_name":"Meihost","id":"24769","full_name":"Meihost, Lars","first_name":"Lars"}],"title":"Machine learning in inverse measurement problems: An application to piezoelectric material characterisation"}]