[{"intvolume":"         9","article_type":"original","date_updated":"2026-01-05T08:00:05Z","publication_status":"published","publication_identifier":{"issn":["2681-4617"]},"author":[{"first_name":"Leander","orcid":"0000-0002-4393-268X","last_name":"Claes","full_name":"Claes, Leander","id":"11829"},{"full_name":"Koch, Kevin","first_name":"Kevin","last_name":"Koch"},{"full_name":"Friesen, Olga","first_name":"Olga","last_name":"Friesen","id":"44026"},{"id":"24769","full_name":"Meihost, Lars","last_name":"Meihost","first_name":"Lars"}],"title":"Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters","year":"2025","doi":"10.1051/aacus/2025044","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://acta-acustica.edpsciences.org/articles/aacus/abs/2025/01/aacus250049/aacus250049.html","open_access":"1"}],"issue":"65","publication":"Acta Acustica","department":[{"_id":"49"}],"type":"journal_article","date_created":"2025-10-27T08:20:53Z","status":"public","volume":9,"user_id":"11829","publisher":"EDP Sciences","_id":"62000","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"},{"name":"FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen (NEPTUN)","_id":"245"}],"citation":{"short":"L. Claes, K. Koch, O. Friesen, L. Meihost, Acta Acustica 9 (2025).","chicago":"Claes, Leander, Kevin Koch, Olga Friesen, and Lars Meihost. “Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters.” <i>Acta Acustica</i> 9, no. 65 (2025). <a href=\"https://doi.org/10.1051/aacus/2025044\">https://doi.org/10.1051/aacus/2025044</a>.","apa":"Claes, L., Koch, K., Friesen, O., &#38; Meihost, L. (2025). Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters. <i>Acta Acustica</i>, <i>9</i>(65). <a href=\"https://doi.org/10.1051/aacus/2025044\">https://doi.org/10.1051/aacus/2025044</a>","ieee":"L. Claes, K. Koch, O. Friesen, and L. Meihost, “Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters,” <i>Acta Acustica</i>, vol. 9, no. 65, 2025, doi: <a href=\"https://doi.org/10.1051/aacus/2025044\">10.1051/aacus/2025044</a>.","ama":"Claes L, Koch K, Friesen O, Meihost L. Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters. <i>Acta Acustica</i>. 2025;9(65). doi:<a href=\"https://doi.org/10.1051/aacus/2025044\">10.1051/aacus/2025044</a>","bibtex":"@article{Claes_Koch_Friesen_Meihost_2025, title={Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters}, volume={9}, DOI={<a href=\"https://doi.org/10.1051/aacus/2025044\">10.1051/aacus/2025044</a>}, number={65}, journal={Acta Acustica}, publisher={EDP Sciences}, author={Claes, Leander and Koch, Kevin and Friesen, Olga and Meihost, Lars}, year={2025} }","mla":"Claes, Leander, et al. “Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters.” <i>Acta Acustica</i>, vol. 9, no. 65, EDP Sciences, 2025, doi:<a href=\"https://doi.org/10.1051/aacus/2025044\">10.1051/aacus/2025044</a>."},"oa":"1"}]