Synthesis and Polymorph Manipulation of FeSe2 Monolayers.

Polymorph engineering involves the manipulation of material properties through controlled structural modification and is a candidate technique for creating unique two-dimensional transition metal dichalcogenide (TMDC) nanodevices. Despite its promise, polymorph engineering of magnetic TMDC monolayers has not yet been demonstrated. Here we grow FeSe2 monolayers via molecular beam epitaxy and find that they have great promise for magnetic polymorph engineering. Using scanning tunneling microscopy (STM) and spectroscopy (STS), we find that FeSe2 monolayers predominantly display a 1T' structural polymorph at 5 K. Application of voltage pulses from an STM tip causes a local, reversible transition from the 1T' phase to the 1T phase. Density functional theory calculations suggest that this single-layer structural phase transition is accompanied by a magnetic transition from an antiferromagnetic to a ferromagnetic configuration. These results open new possibilities for creating functional magnetic devices with TMDC monolayers via polymorph engineering.

Non-convex optimization for inverse problem solving in computer-generated holography.

Computer-generated holography is a promising technique that modulates user-defined wavefronts with digital holograms. Computing appropriate holograms with faithful reconstructions is not only a problem closely related to the fundamental basis of holography but also a long-standing challenge for researchers in general fields of optics. Finding the exact solution of a desired hologram to reconstruct an accurate target object constitutes an ill-posed inverse problem. The general practice of single-diffraction computation for synthesizing holograms can only provide an approximate answer, which is subject to limitations in numerical implementation. Various non-convex optimization algorithms are thus designed to seek an optimal solution by introducing different constraints, frameworks, and initializations. Herein, we overview the optimization algorithms applied to computer-generated holography, incorporating principles of hologram synthesis based on alternative projections and gradient descent methods. This is aimed to provide an underlying basis for optimized hologram generation, as well as insights into the cutting-edge developments of this rapidly evolving field for potential applications in virtual reality, augmented reality, head-up display, data encryption, laser fabrication, and metasurface design.

Imaging tunable Luttinger liquid systems in van der Waals heterostructures.

One-dimensional (1D) interacting electrons are often described as a Luttinger liquid1-4 having properties that are intrinsically different from those of Fermi liquids in higher dimensions5,6. In materials systems, 1D electrons exhibit exotic quantum phenomena that can be tuned by both intra- and inter-1D-chain electronic interactions, but their experimental characterization can be challenging. Here we demonstrate that layer-stacking domain walls (DWs) in van der Waals heterostructures form a broadly tunable Luttinger liquid system, including both isolated and coupled arrays. We have imaged the evolution of DW Luttinger liquids under different interaction regimes tuned by electron density using scanning tunnelling microscopy. Single DWs at low carrier density are highly susceptible to Wigner crystallization consistent with a spin-incoherent Luttinger liquid, whereas at intermediate densities dimerized Wigner crystals form because of an enhanced magneto-elastic coupling. Periodic arrays of DWs exhibit an interplay between intra- and inter-chain interactions that gives rise to new quantum phases. At low electron densities, inter-chain interactions are dominant and induce a 2D electron crystal composed of phased-locked 1D Wigner crystal in a staggered configuration. Increased electron density causes intra-chain fluctuation potentials to dominate, leading to an electronic smectic liquid crystal phase in which electrons are ordered with algebraical correlation decay along the chain direction but disordered between chains. Our work shows that layer-stacking DWs in 2D heterostructures provides opportunities to explore Luttinger liquid physics.

Spin disorder control of topological spin texture.

Stabilization of topological spin textures in layered magnets has the potential to drive the development of advanced low-dimensional spintronics devices. However, achieving reliable and flexible manipulation of the topological spin textures beyond skyrmion in a two-dimensional magnet system remains challenging. Here, we demonstrate the introduction of magnetic iron atoms between the van der Waals gap of a layered magnet, Fe3GaTe2, to modify local anisotropic magnetic interactions. Consequently, we present direct observations of the order-disorder skyrmion lattices transition. In addition, non-trivial topological solitons, such as skyrmioniums and skyrmion bags, are realized at room temperature. Our work highlights the influence of random spin control of non-trivial topological spin textures.

Decoding of compressive data pages for optical data storage utilizing FFDNet.

Coded aperture-based compression has proven to be an effective approach for high-density cold data storage. Nevertheless, its limited decoding speed represents a significant challenge for its broader application. We introduce a novel, to the best of our knowledge, decoding method leveraging the fast and flexible denoising network (FFDNet), capable of decoding a coded aperture-based compressive data page within 30.64 s. The practicality of the method has been confirmed in the decoding of monochromatic photo arrays, full-color photos, and dynamic videos. In experimental trials, the variance between decoded results obtained via the FFDNet-based method and the FFDNet-absent method in terms of average PSNR is less than 1 dB, while realizing a decoding speed enhancement of over 100-fold when employing the FFDNet-based method.

Reproductive health factors in relation to risk of hypertension in postmenopausal women: Results from NHANES 2011-2014.

Few studies have systematically assessed the relationship between multiple reproductive factors and hypertension, and these limited studies paid more attention to age at menarche and menopause, abortion, or the number of live births, and yielded controversial results. This study aimed to explore the relationship between reproductive health factors and hypertension from 5 aspects: history of menstruation, pregnancy, delivery, gynecological surgery, and reproductive-related medication use. We analyzed data from the National Health and Nutrition Examination Survey 2011 to 2014. Data on reproductive factors were collected using a questionnaire survey. The associations between multiple reproductive factors and the risk of hypertension were assessed using multivariable logistic regression models. There were significant inverse associations between age at menopause (odds ratio [OR] = 0.984, 95% confidence interval [CI]: 0.971-0.998, P = .0234 per 1-year increase), age at first live birth (OR = 0.970, 95% CI: 0.944-0.998, P = .0346 per 1-year increase), age at last live birth (OR = 0.982, 95% CI: 0.964-0.999, P = .0488 per 1-year increase), and the risk of hypertension. In contrast, a positive association was found between the risk of hypertension and a history of gestational diabetes (OR = 1.693, 95% CI: 1.042-2.751, P = .0333), hysterectomy (OR = 1.398, 95% CI: 1.139-1.717, P = .0014), ovariectomy (OR = 1.374, 95% CI: 1.074-1.758, P = .0115), and birth control pill use (OR = 1.293, 95% CI: 1.035-1.616, P = .0236). Age at menopause but not menarche, is inversely associated with hypertension. A history of gestational diabetes, hysterectomy, ovariectomy, or birth control pills was associated with a higher risk of hypertension.

Coded aperture-based compressive data page for optical data storage.

In an era of data explosion, optical data storage provides an alternative solution for cold data storage due to its energy-saving and cost-effective features. However, its data density is still insufficient for zettabyte-scale cold data storage. Here, a coded aperture-based compressive data page with a compression ratio of ≤0.125 is proposed. Based on two frameworks-weighted nuclear norm minimization (WNNM) and alternating direction method of multipliers (ADMM)-the decoded quality of the compressive data page is ensured by utilizing sparsity priors. In experiments, compressive data pages of a monochromatic photo-array, full-color photo, and dynamic video are accurately decoded.

DGE-CNN: 2D-to-3D holographic display based on a depth gradient extracting module and ZCNN network.

Holography is a crucial technique for the ultimate three-dimensional (3D) display, because it renders all optical cues from the human visual system. However, the shortage of 3D contents strictly restricts the extensive application of holographic 3D displays. In this paper, a 2D-to-3D-display system by deep learning-based monocular depth estimation is proposed. By feeding a single RGB image of a 3D scene into our designed DGE-CNN network, a corresponding display-oriented 3D depth map can be accurately generated for layer-based computer-generated holography. With simple parameter adjustment, our system can adapt the distance range of holographic display according to specific requirements. The high-quality and flexible holographic 3D display can be achieved based on a single RGB image without 3D rendering devices, permitting potential human-display interactive applications such as remote education, navigation, and medical treatment.

Analysis of reconstruction quality for computer-generated holograms using a model free of circular-convolution error.

Continuous complex-amplitude computer-generated holograms (CGHs) are converted to discrete amplitude-only or phase-only ones in practical applications to cater for the characteristics of spatial light modulators (SLMs). To describe the influence of the discretization correctly, a refined model that eliminates the circular-convolution error is proposed to emulate the propagation of the wavefront during the formation and reconstruction of a CGH. The effects of several significant factors, including quantized amplitude and phase, zero-padding rate, random phase, resolution, reconstruction distance, wavelength, pixel pitch, phase modulation deviation and pixel-to-pixel interaction, are discussed. Based on evaluations, the optimal quantization for both available and future SLM devices is suggested.

Spectral-envelope modulated double-phase method for computer-generated holography.

Computer-generated holography provides an approach to modulate the optical wavefront with computationally synthesized holograms. Since the hardware implementation for complex wavefronts is not yet available, double-phase decomposition is utilized as a complex encoding method of converting a complex wavefront to a double-phase hologram. The double-phase hologram adapts a complex wavefront for the phase-type devices, but the reconstruction is plagued by the noise caused by spatial-shifting errors. Here, a spectral-envelope modulated double-phase method is proposed to suppress the spatial-shifting noise with an off-axis envelope modulation on the Fourier spectrum of a double-phase hologram. This proposed method out-performs conventional on-axis double-phase method in optical reconstructing accuracy with indicated 9.54% improvement in PSNR and 196.86% improvement in SSIM.

Band-limited double-phase method for enhancing image sharpness in complex modulated computer-generated holograms.

Herein, we propose a band-limited double-phase method to improve the quality of reconstructed images encoded by double-phase holograms (DPHs) derived from complex-amplitude light waves. Although the quality of images produced by DPHs was improved compared to that of conventional holographic images, it still suffered from degradation because of the spatial shifting noise generated during the conversion from complex-amplitude holograms to phase-only holograms. The proposed method overcomes this shortcoming by defining a band-limiting function according to the spatial distribution of DPHs in the frequency domain to remove the specific spatial frequency components severely affected by the spatial shifting of DPHs. The sharpness of images reconstructed from band-limited DPHs with appropriate optical filtering showed an improvement of 36.84% in simulations and 51.67% in experiments evaluated by 10-90% intensity variation.

Frequency-based optimized random phase for computer-generated holographic display.

Random phases with all frequency components lead to excessive diffusions of object waves, resulting in loss of detail in holographic reconstructions. In this study, the effects of random phases with various frequencies on holographic reconstruction results are evaluated. The optimized maximal value of the random phases is analyzed. Utilizing the evaluation results, we propose a frequency-based optimized random phase that reduces the unfavorable effect of the insufficient dynamic range of computer-generated holograms and prevents excessive diffusions by traditional random phases. Utilizing the optimized random phase, which improves the reconstruction quality significantly, we can commendably reconstruct both contours and details.

Optimal quantization for amplitude and phase in computer-generated holography.

Owing to the characteristics of existing spatial light modulators (SLMs), the computer-generated hologram (CGH) with continuous complex-amplitude is conventionally converted to a quantized amplitude-only or phase-only CGH in practical applications. The quantization of CGH significantly affects the holographic reconstruction quality. In this work, we evaluated the influence of the quantization for both amplitude and phase on the quality of holographic reconstructions by traversing method. Furthermore, we considered several critical CGH parameters, including resolution, zero-padding size, reconstruction distance, wavelength, random phase, pixel pitch, bit depth, phase modulation deviation, and filling factor. Based on evaluations, the optimal quantization for both available and future SLM devices is suggested.

A complex-amplitude hologram using an ultra-thin dielectric metasurface.

Metasurfaces have been widely studied for the arbitrary manipulation of the amplitude, phase and polarization of a field at the subwavelength scale. Holographic images with a high resolution and a large viewing angle can be reconstructed from phase-only holograms encoded in a metasurface. The quality of a holographic image can be greatly improved by using complex-amplitude holograms. However, realizing a high efficiency metasurface with simultaneous and independent control of the amplitude and phase remains a great challenge. In this work, an ultrathin dielectric metasurface which can modulate the complex amplitude in the transmission mode is proposed for a metasurface hologram. The amplitude is controlled by adjusting the dipoles and quadrupoles by tuning the geometric size. The phase value from 0 to 2π is manipulated based on the Pancharatnam-Berry phase (also called the geometric phase) by rotating the meta-atom. The experimental results show that a three-dimensional image reconstructed from a complex-amplitude hologram presents better quality than that from a phase-only hologram. The proposed metasurface shows great potential for applications that require complex amplitude modulation.

Progress in virtual reality and augmented reality based on holographic display.

The past, present, and future industry prospects of virtual reality (VR) and augmented reality (AR) are presented. The future of VR/AR technology based on holographic display is predicted by analogy with the VR/AR based on binocular vision display and light field display. The investigations on holographic display that can be used in VR/AR are reviewed. The breakthroughs of holographic display are promising in VR/AR with high resolution. The challenges faced by VR/AR based on holographic display are analyzed.

Amphiphilic PA-induced three-dimensional graphene macrostructure with enhanced removal of heavy metal ions.

Phytic acid (PA) induced graphene macrostructures were synthesized and investigated for the sorption characteristics and mechanisms of mercury. The as-synthesized graphene foam possessed large specific surface area and amphiphilicity. FTIR and XPS analysis revealed that the as-prepared graphene macrostructure retained oxygen-containing functional groups after hydrothermal reduction and also captured new phosphorus-containing groups because of the introduction of PA. Different experimental parameters, such as pH, PA fractions and contact time were applied to probe into the Hg(II) adsorption performance of as-synthesized macrostructure. Pseudo-second-order kinetic model and Langmuir isotherm model fitted well to the obtained sorption kinetic and isothermal data. The maximum adsorption capacity at pH = 7.2 for mercury was 361.01 mg/g. The dominant mechanisms for mercury removal were mainly ion exchange and surface complexation. Real application in river water and seawater exhibited very promising results, indicating its broad prospect in water purification.