28 citations · 88 across the 5 of their papers we have counts for
5 papers
Efficient Statistical Model for Predicting Electromagnetic Wave Distribution in Coupled Enclosures
Shukai Ma, Sendy Phang, Zachary Drikas +8
The Random Coupling Model (RCM) has been successfully applied to predicting the statistics of currents and voltages at ports in complex electromagnetic (EM) enclosures operating in…
Wave scattering properties of multiple weakly-coupled complex systems
Shukai Ma, Bo Xiao, Zachary Drikas +5
The statistics of scattering of waves inside single ray-chaotic enclosures have been successfully described by the Random Coupling Model (RCM). We expand the RCM to systems consist…
Classification and prediction of wave chaotic systems with machine learning techniques
Shukai Ma, Bo Xiao, Ron Hong +5
The wave properties of complex scattering systems that are large compared to the wavelength, and show chaos in the classical limit, are extremely sensitive to system details. A sol…
Uncovering Universal Wave Fluctuations In a Scaled Ray-Chaotic Cavity With Remote Injection
Bo Xiao, Thomas M. Antonsen, Edward Ott +3
The Random Coupling Model (RCM), introduced by Zheng, Antonsen and Ott, predicts the statistical properties of waves inside a ray-chaotic enclosure in the semi-classical regime by…
Impedance and Scattering Variance Ratios of Complicated Wave Scattering Systems in the Low Loss Regime
Jen-Hao Yeh, Zachary Drikas, Jesus Gil Gil +6
Random matrix theory (RMT) successfully predicts universal statistical properties of complicated wave scattering systems in the semiclassical limit, while the random coupling model…