Junhai Wang

The synergistic photocatalysis effect of (001)TiO₂/Ti₃C₂T_x modified by NPCDs.

In this paper, Co-doped SnS₂ is used as a catalyst for dual electrolyte lithium–air batteries and experimental results show long cycle life and high discharge capacity. In addition, its reaction process in alkaline environments is studied based on DFT theory.

The SAW technology has emerged as an important tool for manipulating bioparticles, so we introduce the recent advancements in the manipulation of organisms based on standing and traveling SAWs, including separation, concentration, and transport.

Cells are complex biological units that can sense physicochemical stimuli from their surroundings and respond positively to them through characterization of the cell behavior. Thus, understanding the motions of cells is important for investigating their intrinsic properties and reflecting their various states. Computer-vision-based methods for elucidating cell behavior offer a novel approach to accurately extract cell motions. Here, we propose an algorithm based on area change to automatically extract the self-rotation of cells in an optically induced dielectrophoresis field. To obtain a clear and complete outline of the cell structure, dark corner removal and contrast stretching techniques are used in the pre-processing stage. The self-rotation speed is calculated by determining the frequency of the cell area changes in all of the captured images. The algorithm is suitable for calculating in-plane and out-of-plane rotations, while addressing the problem of identical images at different rotation angles when dealing with rotations of spherical and flat cells. In addition, the algorithm can be used to determine the motion trajectory of cells. The experimental results show that the algorithm can efficiently and accurately calculate cell rotation speeds of up to ~155 rpm. Potential applications of the proposed algorithm include cell morphology extraction, cell classification, and characterization of the cell mechanical properties. The algorithm can be very helpful for those who are interested in using computer vision and artificial-intelligence-based ideology in single-cell studies, drug treatment, and other bio-related fields.

High-pressure polymorphism is a developing interdisciplinary field. Pressure up to 20 GPa is a powerful thermodynamic parameter for the study and fabrication of hydrogen-bonded polymorphic systems. This review describes how pressure can be used to explore polymorphism and surveys the reports on examples of compounds that our group has studied at high pressures. Such studies have provided insight into the nature of structure–property relationships, which will enable crystal engineering to design crystals with desired architectures through hydrogen-bonded networks. Experimental methods are also briefly surveyed, along with two methods that have proven to be very helpful in the analysis of high-pressure polymorphs, namely, the ab initio pseudopotential plane–wave density functional method and using Hirshfeld surfaces to construct a graphical overview of intermolecular interactions.

In order to improve the tribological characteristics of Si₃N₄ friction pairs at high temperature, graphite powder, h-BN powder and MoS₂ powder with excellent lubricating properties were added between the friction pairs. The friction and wear experiments of different powder adding stages (initial adding stage and stable friction stage) and different temperature gradients (25 °C, 100 °C, 200 °C, 300 °C, 400 °C) were carried out on the friction and wear tester. After the experiment, the worn surface was observed by SEM and ultra-depth microscope, and the lubricating powder before and after friction was analyzed by XRD. Combined with the friction coefficient recorded during the experiment, the friction reduction mechanism of powder lubrication under different conditions was analyzed and summarized. The results show that the three kinds of powder all have the best lubrication effect at the initial stage of addition. With the increase of temperature, the film-forming ability of graphite powder and h-BN powder decreases, and MoS₂ powder is little affected. Therefore, the key to lubrication and wear reduction is to form a dense, stable and not easily damaged lubricating film during friction. How to form the lubricating film more easily and how to improve the performance of the lubricating film will become the next research focus.

Under the wake of COVID-19, agricultural production and people's consumption are seriously affected, in addition, the number of methods to quantitatively analyze of the degree of influence is limited. The big data of electrical power can accurately reflect the business situation of enterprises in the industry. This paper select hundreds of leading enterprises in agricultural industrialization as the analysis objects, and use Keyword Index Technology to construct the corresponding system of enterprise name-electric household number, and use Multilevel Coordination Algorithm to fit the electricity curve of leading enterprises in agricultural industrialization, to study the impact degree difference and resilience of the epidemic situation on the subdivision industry, and use Covariance Analysis Algorithm to analyze the correlation of subdivision industry under the epidemic situation, and to give the prospect of development opportunities in the period after the COVID-19 epidemic situation.