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we realize a photonic analog of the moiré superlattice in the strong coupling regime. The cascades of robust topological flat bands occur at large twist-angles.
A novel nonlinear accelerator based on non-volatile opto-resistive RAM switch was proposed and demonstrated to enable fully in-situ photonic neural network.
Core-shell structured Au@carbon dots are fabricated to present a photoinduced-enhanced oxidative stress amplification, which can be efficiently used for tumor catalytic therapy by surface-enhanced Raman scattering technique.
Multilayer structures integrating a photonic crystal cavity and a mechanical resonator with a high-QM out-of-plane mode are fabricated, exhibiting high optomechanical coupling.
Short-range ordered plasmonic superlattices of Au nanoparticles have tunable infrared collective plasmon-polariton resonances. The enhanced molecule-plasmon interaction approaches the vibrational strong coupling regime, enabling molecular sensing through giant infrared absorption.
The Ca6Ba(PO4)4O:Mn5+ provides ultranarrow near-infrared emission at 1140 nm that can be excited over 500–1000 nm spectral range, which makes this material an excellent near-infrared phosphor and blue/turquoise pigment.
We introduce and experimentally demonstrate a novel technique for the complete characterization of ultrafast optical fields based on phase-preserving nonlinear interferometric autocorrelation without any spectroscopic measurements.
A novel theoretical framework and method, which is based on a novel space-time-coding metasurface (STCM) with nonlinearly periodic phases, is proposed to generate frequency-modulated continuous waves (FMCWs) and dynamically control their spatial propagation behaviors simultaneously.
We realised a provably-secure symmetric private information retrieval supported by a quantum-secure key-exchange network. Our demonstration achieves secure retrieval of 582-byte fingerprint files from a database with 800 entries.
In order to speed up the microscopy acquisition process, we developed a method, termed GANscan, in which videos are recorded as the stage is moving at high speeds. Using generative adversarial networks (GANs), we achieve 30x the throughput of stop-and-stare systems.
Contrary to the commonly assumed local segregation in mixed halide perovskite alloys, this work reveals the nonlocal nature of the “segregation”, a macroscopic/mesoscopic scale oscillatory charge displacement.