4 papers
Topological Metamaterial for Magnetic Resonance Imaging
Siyong Zheng, Maopeng Wu, Zhonghai Chi +14
Magnetic Resonance Imaging (MRI) is crucial in global healthcare, but the traditional receive coils, as a core component of MRI, SNR enhancement is limited due to the optimization…
Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration
Peijie Feng, Fubei Liu, Yuanfeng Liu +6
Free-space wavefront manipulation devices have emerged as powerful platforms for advanced optical information systems. In response to the challenges posed by the exponential growth…
All-optical autoencoder machine learning framework using linear diffractive processors
Peijie Feng, Yong Tan, Mingzhe Chong +5
Diffractive deep neural network (D2NN), known for its high speed and strong parallelism, has been widely applied across various fields, including pattern recognition, image process…
Gain/Loss-free Non-Hermitian Metamaterials
Wu Maopeng, Weng Mingze, Chi Zhonghai +6
The ease of using optical gain/loss provides a fertile ground for experimental explorations of non-Hermitian (NH) physics. Without gain/loss, can we realize the NH effect in a Herm…