DeepF-fNet uses two convolutional networks plus a shift-and-scale routine to estimate locally resonant metamaterial parameters that place a vibration bandgap on a user-specified frequency.
Bia/suppress las, Comparison of passive and active reduction of vibrations of mechanical systems, Journal of Achievements in Materials and Man u- facturing Engineering 18 (08 2006)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
physics.comp-ph 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
DeepF-fNet: a physics-informed neural network for vibration isolation optimization
DeepF-fNet uses two convolutional networks plus a shift-and-scale routine to estimate locally resonant metamaterial parameters that place a vibration bandgap on a user-specified frequency.