Machine learning in inverse measurement problems: An application to piezoelectric material characterisation

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.

Download
No fulltext has been uploaded.
Misc | English
Publishing Year
LibreCat-ID

Cite this

Claes L, Koch K, Friesen O, Meihost L. Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation.; 2024.
Claes, L., Koch, K., Friesen, O., & Meihost, L. (2024). Machine learning in inverse measurement problems: An application to piezoelectric material characterisation.
@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, Kevin Koch, Olga Friesen, and Lars 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, Machine learning in inverse measurement problems: An application to piezoelectric material characterisation. International Workshop on Piezoelectric Materials and Applications (IWPMA), 2024.
Claes, Leander, et al. Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation. 2024.

Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar