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Physics informed activation functions and loss functions for signal reconstruction and digital twinning
Abstract A coupled two-body mass Lagrangian is used to model a magnetic rail nScrypt printer extruder with a sensor attached to the side for signal reconstruction and digital twinning. The equations of motion (EQM) derived from the Lagrangian are then used to improve the accelerometer signal by incorporating them as activation functions in the layers of the neural network, then using the damping constant and frequency matrix as learnable parameters.
Optical and electronic signal stabilization of plasmonic fiber optic gate electrodes: towards improved real-time dual-mode biosensing
Roger Hasler1,2*, Marie-Helene Steger-Polt2, Ciril Reiner-Rozman2, Stefan Fossati1, Seungho Lee3, Patrik Aspermair1,2, Christoph Kleber2, Maria Ibáñez3, Jakub Dostalek1,2,4 and Wolfgang Knoll1,2* 1AIT Austrian Institute of Technology GmbH, Tulln, Austria 2Laboratory for Life Sciences and Technology (LiST), Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria 3Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria 4FZU-Institute of Physics, Czech...
Frontiers | Silver nanoparticles with plasma-polymerized hexamethyldisiloxane coating on 3D printed substrates are non-cytotoxic and effective against respiratory pathogens
1. Introduction Unusual health threats emerging not only from the large immunological exclusion caused by the use of protective respiratory equipment during the COVID-19 (coronavirus disease 2019) pandemic but also the ever-increasing occurrence of bacterial resistance to antibiotics and virus mutations raise the need for new materials with antimicrobial properties.
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