226 papers
This paper presents an approximate yet agile modeling framework for analyzing and mitigating spectral and spatial interference fringes in polarimetric instruments, specifically focusing on isotropic materials and uniaxial crystals under the assumption of small birefringence, while validating its accuracy against rigorous methods like Berreman calculus through extensive design examples.
This paper presents a novel photoresist utilizing sensitized triplet-triplet annihilation upconversion combined with in-situ photochemical deoxygenation and Ni2+ photoreduction to enable the direct laser writing of ferromagnetic nickel microstructures under ambient conditions.
This paper introduces a time-resolved spontaneous Raman spectroscopy technique with sub-wavenumber spectral and few-hundred-picosecond temporal resolution to successfully resolve subtle transient electron-phonon coupling parameters and carrier recombination dynamics in lightly boron-doped silicon.
This paper demonstrates a direct quantum-enhanced sensing advantage in the Fourier domain by showing that two-photon interference in a fiber-based interferometer reduces the noise floor by 3 dB compared to single-photon interference under identical conditions, thereby enabling sub-shot-noise detection.
This paper demonstrates a quantum weak measurement scheme using Rydberg atom-based electromagnetically induced transparency that leverages probe laser polarization changes to suppress technical noise and achieve a sensitivity of 33 for low-frequency electric field sensing.
This study reveals a mesoscopic nonlocal screening regime extending up to ~140 nm at buried interfaces in van der Waals heterostructures, demonstrating that phonon-polariton wavelength shifts provide a transferable metric for charge transfer that scales linearly with work-function differences and is governed by a lattice-mismatch energy threshold.
This theoretical study demonstrates that delayed even harmonics in a non-coaxial pump-probe setup serve as a sensitive probe for coherent phonon dynamics and electron-electron interactions in solids, revealing order-dependent phase shifts that elucidate microscopic effects in systems with dynamically broken inversion symmetry.
This paper experimentally demonstrates the efficient frequency conversion of atomic biphotons to the telecom band using a diamond-type atomic ensemble, successfully preserving their temporal waveforms, nonclassical antibunching, and strong quantum correlations to enable practical interfaces for distributed quantum communication.
This paper proposes and theoretically analyzes a hyper-entangled SU(1,1) interferometer scheme that utilizes crossed-polarization nonlinear media to detect minute birefringence with a sensitivity enhancement of 3–15 dB beyond the classical shot-noise limit, even under realistic conditions of gain and internal loss.
This paper presents a precise and robust domain engineering technique for thin-film lithium niobate photonics that utilizes nanoscale Faraday cages to define polarity distributions via geometry, enabling the fabrication of a spatially selectively poled waveguide with a record-high normalized second-harmonic generation efficiency of 6242% W⁻¹cm⁻².
This paper demonstrates an all-optical method to dynamically reconfigure the number and position of far-field polarization singularities in a room-temperature photonic-crystal laser by shaping the pump geometry to create a mesoscopic potential landscape that localizes Bloch modes, while preserving the intrinsic momentum-space singularity.
This study demonstrates that evanescent wave-based optical manipulation can non-invasively detect significant glucose-induced reductions in red blood cell mobility, suggesting its potential as a tool for probing membrane mechanical properties.
This study demonstrates a robust, label-free methodology using lens-free digital in-line holographic microscopy to achieve high-resolution 3D volumetric reconstruction and precise morphological characterization of native Chilean pollen grains, offering a scalable solution for automated melissopalynology and biodiversity assessment.
The paper introduces GiBS, a generative inverse-design framework that utilizes smooth parametric bases and manifold learning to efficiently optimize large-scale, nonlocal metasurfaces while ensuring manufacturability, as demonstrated by the experimental validation of a broadband scattering device.
This paper introduces and validates a novel interferometric technique for measuring vacuum magnetic birefringence by detecting frequency shifts in an optical cavity, presenting prototype results from a 19 m test setup and projecting the sensitivity for a future full-scale experiment using a 245 m cavity and superconducting magnets for the ALPS II project.
This paper theoretically predicts the existence of canalized hyperbolic magnetoexciton polaritons in van der Waals semiconductors like WTe2, MoS2, and phosphorene, which, driven by the Shubnikov-de Haas effect at low temperatures, exhibit ultralow group velocities, super-long lifetimes, and diverse exotic optical topologies.
This paper presents a computationally efficient first-principles inverse design framework for nanolasers that leverages high- cavity approximations to simplify nonlinear Maxwell-Bloch equations into a single linear solve, enabling the topology optimization of both 2D and 3D laser geometries while accounting for critical physical effects like spatial hole burning and gain diffusion.
This paper presents the first experimental demonstration of a directional dark-field setup for nanoscale full-field transmission X-ray microscopy, enabling the orientation mapping of anisotropic nanostructures below the spatial resolution limit and facilitating quantitative structural characterization in fields ranging from biomineralization to advanced materials.
This paper presents the first electro-optic integrated optical isolator based on thin-film lithium niobate that achieves the non-reciprocal strong coupling regime, delivering high isolation contrast with negligible sidebands and offering wide, multi-THz tunability.
This paper introduces "differentiable microscopy" (), a data-driven, top-down design framework that automatically optimizes optical systems for phase retrieval, demonstrating superior performance over existing methods and experimentally validating its effectiveness on biological samples.