2 papers
physics.app-ph2026
Reduction of intrinsic losses in nanomechanical silicon nitride resonators through thermal treatment in ultrahigh vacuum
Nicola Cavalleri, Ariane Giesriegl, Robert G. West +7
Since the discovery of dissipation dilution, silicon nitride (SiN) nanomechanical resonators have set the benchmark for ultracoherent mechanical systems, with geometry and strain e…
physics.app-ph2024
Ferroelectrically-enhanced Schottky barrier transistors for Logic-in-Memory applications
Daniele Nazzari, Lukas Wind, Masiar Sistani +3
Artificial neural networks (ANNs) have had an enormous impact on a multitude of sectors, from research to industry, generating an unprecedented demand for tailor-suited hardware pl…