Publications by authors named "Shichao Cheng"

To address the limitations of contemporary lithium-ion batteries, particularly their low energy density and safety concerns, all-solid-state lithium batteries equipped with solid-state electrolytes have been identified as an up-and-coming alternative. Among the various SEs, organic-inorganic composite solid electrolytes (OICSEs) that combine the advantages of both polymer and inorganic materials demonstrate promising potential for large-scale applications. However, OICSEs still face many challenges in practical applications, such as low ionic conductivity and poor interfacial stability, which severely limit their applications.

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A steel belt casting equipment, weighing approximately ∼6-7 tons and measuring ∼5 m in length, has been designed and developed for simulating the industrial processing of polymer films and being combined with synchrotron radiation in situ x-ray scattering measurements. Through modification of its modules, it is feasible to implement two distinct film casting modes, namely the wet and the dry casting processes. The speed of a steel belt can span from 0.

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A zinc germanium phosphorus (ZnGeP) crystal with a chalcopyrite structure is an efficient frequency converter in the mid-infrared region. However, point defect-induced optical absorption at the pumping wavelength (near infrared region) blocked the further application of ZnGeP. To alleviate the absorption losses caused by point defects, magnesium doping compensation was presented during the ZnGeP bulk crystal growth process the vertical Bridgman method.

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Graph convolutional network (GCN) based on the brain network has been widely used for EEG emotion recognition. However, most studies train their models directly without considering network dimensionality reduction beforehand. In fact, some nodes and edges are invalid information or even interference information for the current task.

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Graphite has been serving as the key anode material of rechargeable Li-ion batteries, yet is difficultly charged within a quarter hour while maintaining stable electrochemistry. In addition to a defective edge structure that prevents fast Li-ion entry, the high-rate performance of graphite could be hampered by co-intercalation and parasitic reduction of solvent molecules at anode/electrolyte interface. Conventional surface modification by pitch-derived carbon barely isolates the solvent and electrons, and usually lead to inadequate rate capability to meet practical fast-charge requirements.

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Electrocatalytic water splitting is a feasible technology that can produce hydrogen from renewable sources. The oxygen evolution reaction (OER), which has a slower kinetics and higher overpotential than the hydrogen evolution reaction, is the bottleneck that limits the overall water splitting. It is essential to develop efficient OER catalysts to reduce the anode overpotential.

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Blind image deblurring is a challenging problem in computer vision, aiming to restore the sharp image from blurred observation. Due to the incompatibility between the complex unknown degradation and the simple synthetic model, directly training a deep convolutional neural network (CNN) usually cannot sufficiently handle real-world blurry images. An existed generative adversarial network (GAN) can generate more detailed and realistic images, but the game between generator and discriminator is unbalancing, which leads to the training parameters not being able to converge to the ideal Nash equilibrium points.

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In order to explore a rapid identification method for the anti-counterfeit of commercial high value collections, a three-step infrared spectrum method was used for the pterocarpus collection identification to confirm whether a commercial pterocarpus bracelet (PB) was made from the precious species of . In the first step, undertaken by Fourier transform infrared spectroscopy (FTIR) spectrum, the absorption peaks intensity of PB was slightly higher than that of only at 1594 cm, 1205 cm, 1155 cm and 836 cm. In the next step of second derivative IR spectra (SDIR), the FTIR features of the tested samples were further amplified, and the peaks at 1600 cm, 1171 cm and 1152 cm become clearly defined in PB.

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In contrast to the well-investigated halogen-containing borates and carbonates, very few halogen-containing borate carbonate compounds have been reported. Specifically, no example of borate carbonate fluoride has been synthesized successfully until now. Herein, the planar π-conjugated units [BO ] and [CO ] and the F ions are introduced simultaneously into one crystal structure resulting in the first borate carbonate fluoride, Ba (BO )(CO )F, by the high-temperature solution method in the atmosphere.

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Compressed Sensing Magnetic Resonance Imaging (CS-MRI) significantly accelerates MR acquisition at a sampling rate much lower than the Nyquist criterion. A major challenge for CS-MRI lies in solving the severely ill-posed inverse problem to reconstruct aliasing-free MR images from the sparse k -space data. Conventional methods typically optimize an energy function, producing restoration of high quality, but their iterative numerical solvers unavoidably bring extremely large time consumption.

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A new telluroborate Rb3BaTeB7O15, with a new type of fundamental building block, namely [B7O16] units, has been synthesized by the high-temperature flux method, and it crystallizes in the monoclinic space group P21/n (no. 11) with a three dimensional network. To the best of our knowledge, Rb3BaTeB7O15 is the first telluroborate that is constructed only by using [TeO3] polyhedra.

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Fluorooxoborates as potential deep ultraviolet (DUV) nonlinear optical (NLO) materials have exhibited diverse structures and NLO properties with metal cationic changes. Herein, the general mechanisms of metal cations on band gaps and optical properties in a series of typical fluorooxoborates have been clarified. It reveals that the framework of the emblematic 18-membered ring oxyfluorides has the flexibility of being able to contain different cations spanning from alkali to d metals by investigating the stability of the artificial CdB O F structure.

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A new hydrated magnesium borate, Mg(H2O)6B4O5(OH)4(H2O)3, was synthesized successfully by a facile slow evaporation method. Its structure was determined by single crystal X-ray diffraction, and it contains the functional building block (FBB) [B4O5(OH)4]. It possesses a short DUV cutoff edge (<175 nm) which benefits from the absence of dangling bonds in the crystal structure.

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Two barium-containing borates BaMBO (M = Al, Ga) were synthesized via the solid-state method under atmospheric pressure. The 3D configurations of BaGaBO and BaAlBO are comprised of [BaO]/[GaO]/[BO] and [BaO]/[AlO]/[BO], respectively, of which the [BO] units possess unusual edge-sharing [BO] tetrahedra. From BaGaBO to BaAlBO, the B-O units are transformed from corner-sharing to edge-sharing linkages, which arises from the directional shrinkage caused by the Ba-O and M-O skeletons.

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Numerous tasks at the core of statistics, learning and vision areas are specific cases of ill-posed inverse problems. Recently, learning-based (e.g.

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Clustering white matter (WM) tracts from diffusion tensor imaging (DTI) is primarily important for quantitative analysis on pediatric brain development. A recently developed algorithm, density peaks (DP) clustering, demonstrates great robustness to the complex structural variations of WM tracts without any prior templates. Nevertheless, the calculation of densities, the core step of DP, is time consuming especially when the number of WM fibers is huge.

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Deep learning models have gained great success in many real-world applications. However, most existing networks are typically designed in heuristic manners, thus these approaches lack of rigorous mathematical derivations and clear interpretations. Several recent studies try to build deep models by unrolling a particular optimization model that involves task information.

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Two mixed halogen borate-carbonates K[BO(OH)](CO)X·7HO (X = Cl, Br) have been successfully synthesized with the hydrothermal method. They crystallize in the space group P6̅2 c, and their structures feature 3D networks consisting of the KOCl polyhedra. The isolated [BO] groups and [BO] triangles are filled in the space of 3D networks.

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The first rare earth metal iodate fluoride, Ce(IO ) F ⋅H O, was synthesized by a hydrothermal method. In the structure, CeO F polyhedra connect with isolated IO groups to form 1D infinite [Ce(IO ) F ] chains, which interconnect with each other by weak hydrogen bonds to construct the whole structure. Ce(IO ) F ⋅H O produces a large second harmonic generation response, which is three times that of potassium dihydrogenphosphate.

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Blind image deconvolution is one of the main low-level vision problems with wide applications. Many previous works manually design regularization to simultaneously estimate the latent sharp image and the blur kernel under maximum a posterior framework. However, it has been demonstrated that such joint estimation strategies may lead to the undesired trivial solution.

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Objective: The pathogenesis of sepsis associated encephalopathy (SAE) remains poorly understood. Vagus nerve plays an important role in gut-microbiota-brain axis. This study aimed to investigate whether vague nerve is a key mediator of the impact of intestinal microbiota on SAE.

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