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   Luo, Jianlun; Geng, Yifei; Rana, Farhan; Fuchs, Gregory D (March 2025, SPIE)

   Morkoç, Hadis; Fujioka, Hiroshi; Schwarz, Ulrich T (Ed.)

   GaN has recently been shown to host bright, photostable, defect single-photon emitters in the 600–700 nm wavelength range that are promising for quantum applications. Our studies have revealed the optical dipole structure, mechanisms associated with optical dipole dephasing, and the spin structure of these emitters. We have also discovered optically detected magnetic resonance (ODMR) in two distinct species of defects. In one group, we found negative optically detected magnetic resonance of a few percent associated with a metastable electronic state, whereas in the other, we found positive optically detected magnetic resonance of up to 30% associated with the ground and optically excited electronic states. We also established coherent control over a single defect’s ground-state spin. In this talk, we will present our results on the basic physics of these defects and also discuss the spin physics associated with the observed ODMR. 

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5. Physics-Aware Design of Multi-Branch GAN for Human RF Micro-Doppler Signature Synthesis

   https://doi.org/10.1109/RadarConf2147009.2021.9455194  

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   null (Ed.)

   Generative adversarial networks (GANs) have been recently proposed for the synthesis of RF micro-Doppler signatures to mitigate the problem of low sample support and enable the training of deeper neural networks (DNNs) for improved RF signal classification. However, when applied to human micro-Doppler signatures for gait analysis, GANs suffer from systemic kinematic discrepancies that degrade performance. As a solution to this problem, this paper proposes the design of a physics-aware loss function and multi-branch GAN architecture. Our results show that RF gait signatures synthesized using the proposed approached have greater correlation and similarity to measured RF gait signatures, while also improving the accuracy in classifying five different gaits. 

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