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Efficient Training of Transfer Mapping in Physics-Infused Machine Learning Models of UAV Acoustic Field
Rayhaan Iqbal, Amir Behjat, Revant Adlakha +3
Physics-Infused Machine Learning (PIML) architectures aim at integrating machine learning with computationally-efficient, low-fidelity (partial) physics models, leading to improved…
Efficient Inverse Design of 2D Elastic Metamaterial Systems Using Invertible Neural Networks
Manaswin Oddiraju, Amir Behjat, Mostafa Nouh +1
Locally resonant elastic metamaterials (LREM) can be designed, by optimizing the geometry of the constituent self-repeating unit cells, to potentially damp out vibration in selecte…
Metamodel Based Forward and Inverse Design for Passive Vibration Suppression
Amir Behjat, Manaswin Oddiraju, Mohammad Ali Attarzadeh +2
Aperiodic metamaterials represent a class of structural systems that are composed of different building blocks (cells), instead of a self-repeating chain of the same unit cells. Op…