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Solid Waste Recovery for Solar-Driven Interfacial Evaporation: Review and Perspective

Small Methods 2025年 e2402257页

作者： Wu, Zhen Wang, Xiaohan Guo, Litong Chen, Sizhe Xu, Ning School of Materials Science and Physics China University of Mining and Technology Xuzhou221116 China National Laboratory of Solid State Microstructures College of Engineering and Applied Sciences Jiangsu Key Laboratory of Artificial Functional Materials Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210023 China

Interfacial solar evaporation is considered as an emerging sustainable solar water technology, capable of capturing solar energy and localizing the generated heat for fast evaporation. Over the past decade, it has drawn significant attention in the design and optimization of materials, structures, and devices, to achieve higher energy conversion efficiency. However, practical applications are limited due to complex designs, high costs, and difficulties in large-scale implementation. In this perspective, it is focused on the low-cost recyclable waste utilized for interfacial solar evaporation, and the recent progress in these materials, structures, and devices. In addition, unsolved scientific and technical challenges are also discussed, and provide a forward-looking perspective, with the aim of continuously promoting the rapid development and application of cost-effective recyclable waste in interfacial solar evaporation technology, thereby alleviating energy and environmental issues. © 2025 Wiley-VCH GmbH.

关键词： Debris

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Nonvolatile anomalous Nernst effect in Mn5Si3 with a collinear Néel vector

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Physical Review Applied 2025年第4期23卷 044066-044066页

作者： L. Han X.Z. Fu W.Q. He J.K. Dai Y.X. Zhu W.F. Yang Y.L. Chen J.C. Zhang W.X. Zhu H. Bai C. Chen D.Z. Hou C.H. Wan X.F. Han C. Song J.W. Liu F. Pan Key Laboratory of Advanced Materials School of Materials Science and Engineering Tsinghua University Beijing 100084 China Department of Physics The Hong Kong University of Science and Technology Hong Kong 999077 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing 100190 China International Center for Quantum Design of Functional Materials (ICQD) School of Emerging Technology University of Science and Technology of China Hefei 230026 China

For magnetic-resistant and ultrafast transverse thermoelectric converters, antiferromagnets with a collinear Néel vector have unique advantages but their anomalous Nernst effect (ANE), as the fundamental requirement, remains unachieved due to the spin-degenerated bands. Here, we realize the nonvolatile ANE in an altermagnet from Mn5Si3 thin films with a collinear Néel vector under strain, where the Berry curvature from the intersections of spin-splitting bands (instead of a tiny net moment) determines the anomalous Nernst conductivity. The ANE undergoes a sixfold enhancement via doping, most likely due to the raised Fermi level. Order parameter fluctuations induce unique temperature dependence, which also applies to other suitable altermagnets. Our work not only fills a longstanding gap by observing the nonvolatile ANE in material with a collinear Néel vector but also enlightens thermoelectric physics related to spin-splitting bands.

关键词： Thermoelectricity

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Switching Two-Dimensional Sliding Ferroelectrics by Mechanical Bending

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Physical Review Letters 2025年第7期134卷 076101-076101页

作者： Ri He Hua Wang Fenglin Deng Yuxiang Gao Bingwen Zhang Yubai Shi Run-Wei Li Zhicheng Zhong Key Laboratory of Magnetic Materials Devices and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo 315201 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing 100049 China Center for Quantum Matter School of Physics Zhejiang University Hangzhou 310058 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou 215123 China Fujian Key Laboratory of Functional Marine Sensing Materials Center for Advanced Marine Materials and Smart Sensors College of Material and Chemical Engineering Minjiang University Fuzhou 350108 China School of Future Technology University of Chinese Academy of Sciences Beijing 100049 China School of Artificial Intelligence and Data Science University of Science and Technology of China Suzhou 215123 China

Two-dimensional van der Waals materials, possessing a unique stacking degree of freedom, offer an alternative strategy for modulating their properties through interlayer sliding. Controlling the stacking order is crucial for tuning material properties and developing slidetronics-based devices. Here, using machine-learning potentials, we propose a mechanical bending approach to manipulate stacking orders and related properties in sliding ferroelectric h-BN, 3R-MoS2, and nonferroelectric bilayer graphene. Our simulations predict the formation of irreversible kinks in bent bilayers, deviating from the expected arclike deformation. This kink formation arises from the interplay between bending energy and interlayer stacking energy. Notably, the bending-induced kink contains a ferroelectric topological domain wall that reverses the polarization of sliding ferroelectrics, a mechanism distinct from the conventional flexoelectric effect. This work proposes an exciting mechanical bending approach to dynamically manipulate the stacking order and associated optical, topological, ferroelectric, and magnetic properties in van der Waals layered materials.

关键词： Van der Waals forces

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Preparation and application of nano dendritic polyurethane for high-efficiency boron adsorption

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Chinese Journal of Chemical Engineering 2025年 82卷 209-221页

作者： Pengyu Sun Feiyu Gao Wei Shi Hengyuan Zhang Shiao Du Wei Chen Meng Li School of Chemistry and Chemical Engineering Qinghai Normal University Xining 810016 China Academy of Plateau Science and Sustainability People's Government of Qinghai Province & Beijing Normal University Xining 810016 China Qinghai Provincial Key Laboratory of Advanced Technology and Application of Environment Functional Materials Xining 810008 China Shaanxi Key Laboratory of Optoelectronic Functional Materials and Devices School of Materials Science and Chemical Engineering Xi'an Technological University Xi'an 710021 China

Boron adsorbents with high adsorption capacities have long been a focus of research for a long time. This study used small molecular polyols with different hydroxyl groups as functional monomers and as end-capping agents, functional dendritic polyurethanes with nano structure were successfully prepared by one-pot method. The single molecule size and surface morphology were characterized by dynamic light scattering, transmission electron microscopy and scanning electron microscopy, and the molecular size in the dry state was 11 to 18 nm. The prepared materials were used as the boron adsorbents, and the effects of pH, time, boron solution concentration and temperature on the adsorption were studied. The results showed that the capacity of adsorbed boron could reach 110–130 mg·g −1 . Adsorption was a homogeneous monolayer adsorption controlled by chemisorption, and adsorption thermodynamics showed that was a spontaneous endothermic process. Adsorption behavior was best described by the pseudo-second-order kinetic model and the Langmuir isotherm. This study also showed that it was difficult for ortho/meta-hydroxyl groups to chelate with H 3 BO 3 and other polyborates, and the chelates mainly had good chelating properties with B(OH) 4 – , and the chelates formed had large steric hindrance. At the same time, increasing the number of hydroxyl groups of functional monomers was beneficial to increase the adsorption capacity of materials. In addition, the cyclic adsorption/desorption experiments showed that DPUs have good cyclic stability. At the same time, the adsorption results of the original salt lake brine showed that other metal ions in the brine had little effect on the adsorption of boron, and the adsorption capacity was as high as 52.93 mg·g −1 , and the maximum adsorption capacity was obtained by Adams–Bohart model to 58.80 mg·g −1 . The outstanding selectivity and adsorption capacity of these materials have broad potential application, and are expected to be used f

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An Efficient Boron Source Activation Strategy for the Low‑Temperature Synthesis of Boron Nitride Nanotubes

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Nano-Micro Letters 2025年第1期17卷 548-558页

作者： Ying Wang Kai Zhang Liping Ding Liyun Wu Songfeng E Qian He Nanyang Wang Hui Zuo Zhengyang Zhou Feng Ding Yue Hu Jin Zhang Yagang Yao National Laboratory of Solid State Microstructures College of Engineering and Applied SciencesJiangsu Key Laboratory of Artificial Functional Materialsand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093People’s Republic of China School of Electronic Information and Artificial Intelligence Shaanxi University of Science&TechnologyXian 710000People’s Republic of China College of Bioresources Chemical and Materials Engineering Shaanxi University of Science&TechnologyXian 710000People’s Republic of China Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325000People’s Republic of China Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518000People’s Republic of China College of Chemical and Molecular Engineering Peking UniversityBeijing 100871People’s Republic of China

Lowering the synthesis temperature of boron nitride nanotubes(BNNTs)is crucial for their *** primary reason for adopting a high temperature is to enable the effective activation of highmelting-point solid *** this study,we developed a novel approach for efficiently activating boron by introducing alkali metal compounds into the conventional MgO–B *** approach can be adopted to form various low-melting-point AM–Mg–B–O growth *** growth systems have improved catalytic capability and reactivity even under low-temperature conditions,facilitating the synthesis of BNNTs at temperatures as low as 850℃.In addition,molecular dynamics simulations based on density functional theory theoretically demonstrate that the systems maintain a liquid state at low temperatures and interact with N atoms to form BN *** findings offer novel insights into the design of boron activation and are expected to facilitate research on the low-temperature synthesis of BNNTs.

关键词： Boron nitride nanotubes Low-temperature Boron activation Density functional theory

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Advancing Electrochemical Energy Storage: A Review of Electrospinning Factors and Their Impact

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Energies 2025年第9期18卷 2399-2399页

作者： Kashif, Muhammad Rasul, Sadia Mohideen, Mohamedazeem M. Liu, Yong Beijing Key Laboratory of Advanced Functional Polymer Composites College of Material Science and Engineering Beijing University of Chemical Technology Beijing100029 China Pakistan Embassy College Chaoyang District Beijing Sanlitun100600 China

The imperative for sustainable energy has driven the demand for efficient energy storage systems that can harness renewable resources and store surplus energy for off-peak usage. Among the numerous advancements in energy storage technology, polymeric nanofibers have emerged as promising nanomaterials, offering high specific surface areas that facilitate increased charge storage and enhanced energy density, thereby improving electrochemical performance. This review delves into the pivotal role of nanofibers in determining the optimal functionality of energy storage systems. Electrospinning emerged as a facile and cost-effective method for generating nanofibers with customizable nanostructures, making it attractive for energy storage applications. Our comprehensive review article examines the latest developments in electrospun nanofibers for electrochemical storage devices, highlighting their use as separators and electrode materials. We provide an in-depth analysis of their application in various battery technologies, including supercapacitors, lithium-ion batteries, sodium-ion batteries, potassium-ion batteries, lithium–sulfur batteries, and lithium–oxygen batteries, with a focus on their electrochemical performance. Furthermore, we summarize the diverse fabrication techniques, optimization of key influencing factors, and environmental implications of nanofiber production and their properties. This review aims to offer an inclusive understanding of electrospinning’s role in advancing electrochemical energy storage, providing insights into the factors that drive the performance of these critical materials. © 2025 by the authors.

关键词： Fibrous membranes

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Segregation of solute atoms in ZrC grain boundaries and their effects on grain boundary strengths

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Journal of Materials science & technology 2022年第6期101卷 234-241页

作者： Fu-Zhi Dai Yinjie Sun Yixiao Ren Huimin Xiang Yanchun Zhou Science and Technology on Advanced Functional Composite Laboratory Aerospace Research Institute of Materials&Processing TechnologyBeijing 100076China

ZrC is a promising candidate for the application in ultra-high temperature regime due to its unique combination of excellent properties,such as high melting point,good chemical inertness and high temperature *** rapid decrease of strength at high temperatures,however,is one of the obstacles that impedes its practical *** of grain boundaries by solute segregation is believed to be an effective way to improve its high temperature ***,the segregation tendency of ten solid solute atoms,including Sc,Ti,V,Cr,Y,Nb,Mo,Hf,Ta,W,in Zr C grain boundaries,and the strengthening/weakening effects on grain boundaries due to segregation are investigated by first-principles *** segregation tendency is found dominated by the size effect,which is confirmed by both a qualitative analysis and a quantitative approach based on support vector *** means that big atoms tend to segregate to grain boundary sites with local expansions,while small atoms tend to segregate to grain boundary sites with local *** on stress-strain responses indicate that segregation of small atoms(Ti,V,Cr,Nb,Ta,Mo,W)can usually improve grain boundary strengths by inducing compression strains to grain boundaries,even though there is also an *** contrast,segregation of Sc and Y will soften grain *** results reveal that strengthening of grain boundaries by solute segregation is a valuable avenue to enhance high temperature mechanical properties of ZrC,providing guidelines for further design of ZrC based materials.

关键词： ZrC Grain boundary Segregation Strength First-principles calculation Machine learning

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Structural design and performance analysis of large inflatable solar membrane reflector

Space Solar Power and Wireless Transmission

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Space Solar Power and Wireless Transmission 2025年第1期2卷 54-64页

作者： Shuo Bian Size Ai Jianzheng Wei Zhimin Xie Guochang Lin Dongjie Zhang Huifeng Tan Qingxiang Ji Center for Composite Materials and Structures Harbin Institute of Technology Harbin 150080 China National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of Technology Harbin 150080 China School of Chemistry and Chemical Engineering Harbin Institute of Technology Harbin 150001 China Université de Franche-Comté Institute FEMTO-ST CNRS Besançon 25000 France

With the growing global energy demand and the pursuit of sustainable energy, solar energy has received widespread attention as a clean and renewable energy source. A structural design of an inflatable, large-scale solar concentrating reflector based on in-orbit assembly is proposed in this paper. The axisymmetric inflated reflector surface is inversely designed through membrane mechanics, and the internal pressures to maintain the reflector surface morphology at different orbital positions and the tiny deformation produced by the reflecting surface under the action of the uniform pressure are determined. A inflatable-rigidizable support structure is prepared by using a rigidizable aramid fabric-reinforced composite. The support structure used to the parabolic reflecting surface is designed, and the diameter and spacing distance of the resistance wire of the heating layer are determined by electrothermal simulation; the combination of solar radiation and electric heating is used to rigidize the reflector in orbit, and the corresponding electric heating time at different orbital positions is also analyzed by in orbit simulation. The heating voltage, folding radius and folding method of the rigidizable support structure are determined through the experimental design, and the folding and deployment experiments are carried out by using the heating and internal pressure and the final shape recovery rate of the support tube is approximately 100 %, which verifies the feasibility of its folding and deployment.

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IL7-IL7R Interaction Mediates Fibroblast-Driven Macrophage-to-Osteoclast Differentiation in Periodontitis

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Journal of inflammation research 2025年 18卷 6105-6122页

作者： Pengjie Huang Li Gao Jiezhong Guan Yijiao Li Yibing Jia Zixiang Zeng Yurun Chen Linge Wang Weichang Li Yan Wang Bo Yang Hospital of Stomatology Guanghua School of Stomatology Sun Yat-Sen University Guangdong Provincial Key Laboratory of Stomatology Guangzhou People's Republic of China. South China Advanced Institute for Soft Matter Science and Technology School of Molecular Science and Engineering Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices South China University of Technology Guangzhou People's Republic of China.

Aim:To identify osteoclastogenic macrophage subsets and their regulatory mechanisms in periodontitis. Methods:We integrated single-cell RNA sequencing datasets from human and murine periodontitis to construct a comprehensive macrophage and monocyte atlas. Employing functional enrichment, cell-cell communication, pseudotime, transcription factor, and machine learning analyses, we characterized and selected the specific macrophage subset involved in cell interactions. In vitro and in vivo experiments, including enzyme-linked immunosorbent assay, TRAP staining, micro-CT, qPCR, flow cytometry, and immunofluorescence staining, were performed to dissect the osteoclastogenic potential of specific macrophage subsets and to identify the key pathways. Results:We discovered that the IL7R macrophage subset possesses significant osteoclast differentiation potential. Our findings indicate that the IL7/IL7R signaling axis facilitates osteoclast differentiation. Genes highly expressed in IL7R macrophages were identified as strong predictors for periodontitis by machine learning models. In vivo and in vitro experimental validation confirmed an increase in IL7R macrophages, along with their enhanced osteoclastogenic capacity. confirmed an increase in IL7R macrophages, along with their osteoclastogenic capacity. The inhibition of the IL7/IL7R signaling pathway was found to mitigate periodontitis progression by impeding osteoclast differentiation. Furthermore, fibroblasts were found to secret IL7 interacting with IL7 receptors on macrophages. Conclusion:Our study identifies IL7R macrophages as potential osteoclast precursors in periodontitis. We demonstrate that the IL7/IL7R signaling pathway is a critical driver of osteoclast differentiation. Moreover, targeting IL7R is a potential therapeutic strategy to curb periodontitis bone resorption.

关键词： macrophage osteoclast differentiation periodontitis single-cell sequencing

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Theoretical prediction on thermal and mechanical properties of high entropy(Zr(0.2)Hf(0.2)Ti(0.2)Nb(0.2)Ta(0.2))C by deep learning potential

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Journal of Materials science & technology 2020年第8期36卷 168-174页

作者： Fu-Zhi Dai Bo Wen Yinjie Sun Huimin Xiang Yanchun Zhou Science and Technology on Advanced Functional Composite Laboratory Aerospace Research Institute of Materials&Processing TechnologyBeijing100076China

High entropy materials(HEMs, e.g. high entropy alloys, high entropy ceramics) have gained increasing interests due to the possibility that they can provide challenge properties unattainable by traditional materials. Though a large number of HEMs have emerged, there is still in lack of theoretical predictions and simulations on HEMs, which is probably caused by the chemical complexity of HEMs. In this work,we demonstrate that the machine learning potentials developed in recent years can overcome the complexity of HEMs, and serve as powerful theoretical tools to simulate HEMs. A deep learning potential(DLP) for high entropy(Zr(0.2) Hf(0.2) Ti(0.2) Nb(0.2) Ta(0.2))C is fitted with the prediction error in energy and force being 9.4 me V/atom and 217 me V/?, respectively. The reliability and generality of the DLP are affirmed,since it can accurately predict lattice parameters and elastic constants of mono-phase carbides TMC(TM = Ti, Zr, Hf, Nb and Ta). Lattice constants(increase from 4.5707 ? to 4.6727 ?), thermal expansion coefficients(increase from 7.85×10-6 K^(-1) to 10.58×10-6 K^(-1)), phonon thermal conductivities(decrease from 2.02 W·m-1·K^(-1) to 0.95 W·m-1·K^(-1)), and elastic properties of high entropy(Zr(0.2) Hf(0.2) Ti(0.2) Nb(0.2) Ta(0.2))C in temperature ranging from 0°C to 2400°C are predicted by molecular dynamics simulations. The predicted room temperature properties agree well with experimental measurements, indicating the high accuracy of the DLP. With introducing of machine learning potentials, many problems that are intractable by traditional methods can be handled now. It is hopeful that deep insight into HEMs can be obtained in the future by such powerful methods.

关键词： High entropy ceramics Machine learning potential Thermal properties Mechanical properties Molecular dynamics Simulation

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