98 citations · 106 across the 3 of their papers we have counts for
3 papers
cs.CE2022
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…
physics.app-ph2019★ 98 cited
Experimental Observation of Nonreciprocal Waves in a Resonant Metamaterial Beam
M. A. Attarzadeh, J. Callanan, M. Nouh
Space-time-varying materials pledge to deliver nonreciprocal dispersion in linear systems by inducing an artificial momentum bias. Although such a paradigm eliminates the need for…
physics.app-ph2019★ 8 cited
Emergence of Pseudo-Phononic Gaps in Periodically Architected Pendulums
H. Al Ba'ba'a, J. Callanan, M. Nouh
Rejection of unmitigated vibrational disturbances represents an ongoing dilemma in complex linkage systems. In this work, we present an inherent and self-reliant vibration isolatio…