Tootfinder

🔊 #NowPlaying on KEXP's #VarietyMix
How to Dress Well:
🎵 Crypt Sustain
#HowtoDressWell #newRelease 🆕 single
#Bandcamp

🔊 #NowPlaying on BBCRadio1's #Radio1sRockShowWithDanielPCarter
Hot Water Music:
🎵 Burn Forever
#BBCR1 #HotWaterMusic #newRelease 🆕 single
https://open.spotify.com/track/4h2npVwtHY4cJmhOyVyiur
https://endhitsrecords.bandcamp.com/track/burn-forever

k-space Physics-informed Neural Network (k-PINN) for Compressed Spectral Mapping and Efficient Inversion of Vibrations in Thin Composite Laminates
Saeid Hedayatrasa, Olga Fink, Wim Van Paepegem, Mathias Kersemans
https://arxiv.org/abs/2404.03966

k-space Physics-informed Neural Network (k-PINN) for Compressed Spectral Mapping and Efficient Inversion of Vibrations in Thin Composite Laminates
The vibrational response of structural components carries valuable information about their underlying mechanical properties, health status and operational conditions. This underscores the need for the development of efficient physics-based inversion algorithms which, given a limited set of sensing data points and in the presence of measurement noise, can reconstruct the response at locations where measurement data is not available and/or identify the unknown mechanical properties. Addressing th…