Abstract Optical neural networks (ONNs) are particularly advantageous owing to their inherent parallelism and low energy consumption. However, one of the obstacles implementation ONNs is lack optical nonlinearity. In this study, nonlinear activators for prepared by combining Ti 3 C 2 T x MXene with microfibers principles verified. Activation functions obtained from experimental measurements used simulate multiclassification super‐resolution reconstruction tasks performance comparable that...

N-type Bi₂Te_2.7Se_0.3 material fabricated by non-equilibrium laser 3D printing exhibits comparable thermoelectric properties to that of the commercially available material.

Abstract The number of layers 2D materials is great significance for regulating the performance nanoelectronic devices and optoelectronic devices, where optimal thickness target sample should be determined before further physical research or device manufacturing steps. At present, a variety different optical technologies have been proposed to determine samples by using relationship between properties, including contrast, imaging, Raman spectra, photoluminescence nonlinear near‐field...

The manufacturing cost has been a bottle neck for broader applications of thermoelectric (TE) modules. We have developed rapid, facile, and low method that combines non‐contact dispenser printing with selective laser melting (SLM) we demonstrate it on n‐type Bi 2 Te 3 ‐based materials. Using this approach, single phase 2.7 Se 0.3 thin layers the Seebeck coefficient −152 µV K −1 at 300 prepared. Assembling such top each other, performance thus prepared bulk sample is comparable to materials...

The dramatic enhancement of charge carrier interaction makes many-body effects great prominence in two-dimensional materials. Here we report the defect-assisted Auger scattering combined with band-to-band recombination as playing dominant recovery mechanism carriers atomically thin-layered ReS 2 . Time resolved transient absorption spectra investigation reveals two different decay processes over visible and near- infrared range, which is attributed to shallow deep defects introduced by...

Tellurium (Te) is a novel elementary material, which has recently attracted extensive attention due to its intriguing physical properties, such as topological, thermoelectric, and photoelectric properties. Further study on Te crystal structures will help understand properties facilitate application. Here, the angle-resolved polarized Raman spectroscopy been employed symmetry. Three different vibration modes were obtained, each of possess polarization dependence. Furthermore, it revealed that...

Since the emergence of graphene, transition metal dichalcogenides, and black phosphorus, two-dimensional materials have attracted significant attention driven development fundamental physics optoelectronic devices. Metal phosphorus trichalcogenides ( MPX 3 ), due to their large bandgap 1.3–3.5 eV, enable extension applications visible ultraviolet (UV) wavelengths. Micro-Z/I-scan (μ-Z/I-scan) micro-pump-probe (μ-pump-probe) setups were used systematically investigate third-order nonlinear...

Defects introduced during the growth process greatly affect device performance of two-dimensional (2D) materials. Here we demonstrate applicability employing machine-learning-based analysis to distinguish monolayer continuous film and defect areas molybdenum disulfide (MoS2) using position-dependent information extracted from its Raman spectra. The random forest method can analyze multiple features identify samples, making up for problem not being able effectively by just one certain...

Rhenium diselenide (ReSe2) has shown great application potential in the field of optical devices because its excellent optoelectronic properties. In this study, we systematically investigated nonlinear absorption properties mono- and bi-layer ReSe2 ultrafast carrier dynamics process ultraviolet to near-infrared spectral range as essential foundational groundwork for harnessing ultrathin ReSe2-based devices. We found that performance a low saturation intensity is better than many...

Abstract A comprehensive two‐dimensional (2‐D) separation system, coupling capillary reverse‐phase liquid chromatography (cRPLC) to isoelectric focusing (CIEF), is described for protein and peptide mapping. cRPLC, the first dimension, provided high‐resolution separations salt‐free proteins. CIEF, second dimension with an orthogonal mechanism cRPLC afforded excellent resolution capability proteins efficient enrichment. Since all sample fractions in effluents could be transferred CIEF...

Bisecting K-means (BKM) clustering, with or without refinement, has been shown to exhibit higher computing efficiency, better clustering quality, and low susceptibility initial cluster centers, when compared the basic algorithm. For bisecting in this paper, we investigate a variant that increases efficiency while trying maintain quality. Our approach is limit number of iterations two-means (the K=2) data subset. We experimented one, two, three for two-means, them original BKM's unlimited...

Abstract Hierarchical classification learning is a hot research topic in machine and data mining domains, many feature selection algorithms with category hierarchy have been proposed. However, existing assume that the space of completely obtained advance, ignore its uncertainty dynamicity. To address these problems, we propose an online streaming framework hierarchical structure to solve above two problems simultaneously. First, apply relationship between nodes Relief algorithm, so it can be...

Abstract Based on array CIEF (ACIEF) and a novel whole column imaging detection (WCID), comprehensive 2‐D system with laser‐induced fluorescence was developed for protein mapping. By coupling capillary RPLC (CRPLC) as the first dimension ACIEF second dimension, high‐throughput high‐resolution proteomic expression profiling obtained. An of up to 60 capillaries assembled, electrical connections made through filling small breaks, created each at positions buffer reservoirs, porous polymer. A...

We propose a highly sensitive fiber temperature sensor based on section of liquid-sealed silica capillary tube inserted in single-multi-single-mode structure. The liquid polymer is filled into the through two micro-holes drilled by femtosecond laser. Then are blocked UV curable adhesive with ultra-small volume. Obvious Mach-Zehnder interference peaks were shown its transmission spectrum. proposed can be reliably used for actual point detection owing to high sensitivity (8.09 nm/°C), good...

We proposed an optical fiber curvature sensor based on two microcollapses in silica capillary that was spliced between single-mode fibers. Only commercial fusion splicer needed the fabrication process. The can improve interference effect of light modes with ring distribution surrounding ultrafine air core (internal diameter 5 μm), and axisymmetric mode is easy to be affected by curving capillary. structure used as a cost-effective owing its simple process, low cost, good repeatability,...

In this study, a broadband and high gain dielectric‐rod end‐fire antenna are proposed for applications on both the K Ka bands. By employing double‐ridged waveguide (DRW) feeding structure which is composed of coaxial line to tapered DRW transition, parabolic DRW, parabolic‐tapered flared parallel section, impedance bandwidth broadened 84.5%. The with double circular truncated cone acted as main radiator adopted achieve higher gains lower side‐lobe levels compared traditional dielectric‐rod,...

In a virtual network (VN) embedding problem, substrate resources are usually allocated to VNs exclusively, regardless of the burst nature workloads in cloud environment applications, which is obviously inefficient. this letter, we restudy problem on sharing basis. We propose resource scheme, RBS-LP, and two-step VN algorithm, RBS-VNE, by multiple nodes/links can share common physical resource. Simulation results show that our algorithm outperforms other four baseline algorithms three...

The data growth from many applications in clouds poses significant challenges to cloud storage systems. To deliver the best and I/O performance possible, it is often required understand leverage characteristics based on accesses. A number of research studies have been carried out this topic. However, most them either utilize a limited data-access attributes, restricting general applicability method for different applications, or heavily rely domain knowledge expertise about applications'...

Glioblastoma (GBM) is the most aggressive and lethal tumor of central nervous system. The present study set out to identify reliable prognostic predictive biomarkers for patients with GBM. RNA-sequencing data were obtained from Cancer Genome Atlas database DNA methylation downloaded using University California Santa Cruz-Xena database. expression differences between GBM, survival times <1 ≥1 year investigated. A protein-protein interaction network was constructed functional enrichment...

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