thesis Leander Claes author 118290000-0002-4393-268X Kevin Koch author Olga Friesen author 44026 Lars Meihost author 24769 49 department PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing project FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen (NEPTUN) project 2024 eng Claes, L., Koch, K., Friesen, O., &#38; Meihost, L. (2024). <i>Machine learning in inverse measurement problems: An application to piezoelectric material characterisation</i>. @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} } Claes, Leander, et al. <i>Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation</i>. 2024. 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. 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. 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. Claes L, Koch K, Friesen O, Meihost L. <i>Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation</i>.; 2024. 554162024-07-29T12:34:21Z2026-01-05T07:57:27Z