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Refined platelet size: Unlocking enhanced mechanics in nacre-mimetic mineralized materials

Nano Today 2025年 62卷

作者： Chen, Wei Ma, Yuanyuan Xu, Shiqing Wang, Yang Zhang, Pengchao Meng, Jingxin Fu, Zhengyi Wang, Shutao CAS Key Laboratory of Bio-inspired Materials and Interfacial Science Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing100190 China Key Laboratory of Advanced Technology for Materials Synthesis and Processing School of Materials Science and Engineering Wuhan University of Technology Wuhan430070 China University of Chinese Academy of Sciences Beijing100049 China

Nacre-mimetic mineralized (NMM) materials with outstanding mechanical properties have been considered as future structural materials. However, replicating nacre's characteristics into artificial ones in mild conditions has been challenging, particularly in controlling the platelet size, which is crucial for mechanical performance. Here, inspired by mollusk biomineralization, we achieve the unprecedented regulation of aragonite platelet sizes (ranging from 76 to 5800 μm2) at the micrometer scale by manipulating amorphous nano calcium carbonate content, thereby enhancing the mechanical properties of NMM materials. Experimental and simulation results demonstrate that merely decreasing the aragonite platelets' sizes can significantly increase the flexural strength and modulus by 2.8 and 9.9 times, respectively. Notably, the proposed strategy not only has the potential for large-scale production but also produces refined NMM material that closely resembles natural nacre in terms of microstructure and mechanical properties, showing ca. 26 % improvement in specific strength over previously reported NMM materials. Consequently, this work provides a feasible way for developing advanced biomimetic structural materials with specific functions, such as protective gear and artificial bone grafts. © 2025 Elsevier Ltd

关键词： Biomimetic mineralization Mechanical property Nacre-mimetic materials Platelet size

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Engineering eg filling of RuO_(2)enables a robust and stable acidic water oxidation

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Chinese Chemical Letters 2025年第3期36卷 444-448页

作者： Qing Li Yumei Feng Yingjie Yu Yazhou Chen Yuhua Xie Fang Luo Zehui Yang State Key Laboratory of New Textile Materials&Advanced Processing Technology College of Materials Science and EngineeringWuhan Textile UniversityWuhan 430200China Faculty of Materials Science and Chemistry China University of Geosciences WuhanWuhan 430074China

Efficient and stable electrocatalyst for oxygen evolution reaction(OER)in acidic environment is vital for polymer electrolyte membrane water electrolysis(PEMWE).In this work,we have devised the formation of heterostructured RuO_(2)/MnO_(2)with nanoflower structure for acidic OER *** to commercial RuO_(2),the overpotential at 50mA/cm^(2)is decreased by 36 mV,corresponding to a 3.7-fold better mass *** boosted acidic OER performance is attributed to the heterostructure inducing more electrons are filled in e_(g)orbital of Ru atom triggering a better deprotonation of bridge oxygen atom in Ru-O_(bri)-Mn structure evidenced by pH-independent cyclic voltammetry ***,RuO_(2)/MnO_(2)sustains its acidic OER activity within 20 h,longer than commercial RuO_(2).The membrane electrode assembly(MEA)test suggests than only 2.18 V is required to achieve a current density of 5 A/cm^(2).The theoretical calculation reveals that the e_(g)filling of Ru atom is increased from 2.18 to 2.39 after MnO_(2)incorporation,reducing the energy for the formation of∗OOH moiety.

关键词： Oxygen evolution reaction Polymer electrolyte membrane water electrolysis Deprotonation e_(g)filling Heterostructure

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Intrinsic ion migration-induced susceptible two-dimensional phase-transition memristor with ultralow power consumption

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Science Bulletin 2025年

作者： Qin, Lanhao Yu, Yimeng Fang, Cheng Liu, Yujie Zhu, Kaichen Ouyang, Decai Liu, Shenghong Song, Bailing Zhou, Ruochen Lanza, Mario Hu, Wenhua Wu, Jinsong Li, Yuan Zhai, Tianyou State Key Laboratory of Materials Processing and Die & Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China Center of Hydrogen Science State Key Laboratory of Metal Matrix Composites School of Materials Science and Engineering Innovation Center for Future Materials Shanghai Jiao Tong University Shanghai200240 China Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan430070 China

Two-dimensional (2D) phase-transition memristors have demonstrated transformative potential for neuromorphic computing, yet challenges like high power consumption, limited endurance, and crystal damage from external ion intercalation persist. Here, we introduce a novel 2D phase-transition memristor leveraging a paradigm-shifting mechanism by exploiting the ultrafast intrinsic Cu+ ion migration within Cu2S. This approach eliminates the need for external ion insertion, significantly reducing crystal damage and enabling exceptional cycling stability with over 400 DC cycles and 500 pulse cycles. The susceptible monoclinic-tetragonal phase-transition induced by intrinsic Cu+ migration achieves an unprecedented SET power consumption of 1 μW at 100 mV, significantly lower in currently reported phase-transition memristors. To further demonstrate the potential of intrinsic ion migration-induced (IIM) memristor, we simulated an IIM memristor crossbar array for image preprocessing in gesture recognition with a high SSIM value of 0.94, showcasing its potential for scalable neuromorphic hardware. This work establishes a new paradigm in low-power, high-performance phase-transition memristors, advancing their practical application in next-generation computing. © 2025 Science China Press

关键词： Memristor Neuromorphic device Two-dimensional materials

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An interpretable uncertainty quantification framework for proton exchange membrane fuel cell degradation prediction

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Renewable Energy 2025年 249卷

作者： Guo, Bingxin Zhu, Wenchao Yang, Wenlong Yang, Yang Wei, Peng You, Li Xiong, Liangli Xie, Changjun School of Automation Wuhan University of Technology Wuhan430070 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China State Grid Hubei Electric Power Research Institute Wuhan430077 China National Graduate College for Engineers Wuhan University of Technology Wuhan430119 China

Accurate prediction of fuel cell degradation characteristics is crucial for its control and health diagnosis. However, existing mainstream data-driven methods often fail to adequately account for uncertainty factors during model training and the transient changes in fuel cell characteristics, resulting in predictions that typically provide only point estimates, lacking both credibility and interpretability. To address this, this paper proposes a framework that integrates multi-head attention mechanisms and Bayesian 1D convolution (Bayes-1DCNN-MSH), aimed at quantifying uncertainty in the predictions of various deep learning models while offering interpretable prediction information. This method uses multi-head attention to capture critical multi-dimensional features impacting fuel cell output voltage and applies Bayesian 1D convolution to quantify uncertainty, offering predictions with probability density distributions and confidence intervals for degradation forecasting. The Bayes-1DCNN-MSH structure, validated across six deep learning models, shows a 100 % improvement rate under diverse conditions, significantly enhancing noise resistance and reliability. Experimental results confirm that the framework effectively captures transient feature changes and explains prediction uncertainty through feature probability distributions. This approach improves the reliability and interpretability of fuel cell prediction models, supporting safer integration into sectors like transportation. © 2025 Elsevier Ltd

关键词： Prediction models

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Microstructure evolution of 7050 aluminum forgings during surface cumulative plastic deformation

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Transactions of Nonferrous Metals Society of China 2025年第1期35卷 45-59页

作者： Jian-liang HU Ze-xiong ZHANG Cheng XING Xiu-jiang WU Shi-quan HUANG Hong BO Key Laboratory of Advanced Forging&Stamping Technology and Science Ministry of EducationYanshan UniversityQinhuangdao 066004China State Key Laboratory of Precision Manufacturing for Extreme Service Performance Central South UniversityChangsha 410083China College of Mechanical Engineering Yanshan UniversityQinhuangdao 066004China Hebei Engineering Technology Research Center of Metal Precision Plastic Processing Yanshan UniversityQinhuangdao 066004China State Key Laboratory of Metastable Materials Science and Technology Yanshan UniversityQinhuangdao 066004China

To elucidate the mechanisms of regulating the microstructure uniformity in 7050 aluminum forgings through surface cumulative plastic deformation(SCPD),the microstructure under different solution treatments was investigated using metallographic observation(OM),electron backscatter diffraction(EBSD),transmission electron microscopy(TEM),and X-ray diffraction(XRD).The findings demonstrate that the most uniform microstructure in the forgings is achieved with a solution treatment at 470℃for 30 *** SCPD process generates a significant number of needle-shaped precipitates,resulting in a higher dislocation density and stored *** treatments alleviate the pinning effect of second-phase particles and facilitate static recrystallization(SRX)in forgings,leading to a reduction in grain ***,mechanical testing results demonstrate 7%−13%increase in tensile strength and more uniform elongation of the forgings in different directions.

关键词： microstructure homogeneity surface cumulative plastic deformation(SCPD) static recrystallization(SRX) dislocation density

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Enhance the mechanical properties of CoCrFeNi(TiC)0.2 eutectic high-entropy alloy through carbide precipitation and partial recrystallization

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materials Science and Engineering: A 2025年 937卷

作者： Zhang, Jian Chen, Xiaohong Xiang, Wei Zhou, Zhiqiang Wei, Qinqin Xie, Pan Luo, Guoqiang Shen, Qiang State Key Lab of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China Hubei Longzhong Laboratory Hubei Xiangyang441000 China School of Materials Science and Engineering Wuhan University of Technology Wuhan430070 China Innovation Institute for Ocean Materials Characterization Technology State Key Lab of Tropic Ocean Engineering Materials and Materials Evaluation Hainan University Hainan Province Haikou570228 China Chaozhou Branch of Chemistry and Chemical Engineering Guangdong Laboratory Chaozhou521000 China

The CoCrFeNi based alloys with high outstanding fracture toughness and thermal stability demonstrates significant potential for aerospace structural frameworks. However, the as-cast TiC enhanced CoCrFeNi alloy exhibits a poor yield strength, limiting its practical application as a structural material. This study proposes a thermomechanical treatment strategy to enhance the CoCrFeNi(TiC)0.2 alloy by utilizing carbide precipitates and partial recrystallization. The carbide precipitates, unrecovered dislocations, refined recrystallize grains, and twins simultaneously enhance the alloy through precipitation strengthening, dislocation strengthening, and grain boundary strengthening. After cold rolling and heat treating at 900 °C, the CoCrFeNi(TiC)0.2 alloy exhibits a high yield strength of 760 MPa, an ultimate tensile strength of 1100 MPa, and a uniform elongation of 14 %. The alloy demonstrates a relatively favorable strength-ductility balance, which is higher than that of reported carbide-reinforced CoCrFeNi alloys. The work offers theoretical guidance for preparing high-performance alloys, demonstrating significant potential for practical applications. © 2025 Elsevier B.V.

关键词： Tensile strength

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A numerical method for predicting bursting strength of composite rocket motor case considering filament winding process-induced stress

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Chinese Journal of Aeronautics 2025年第02期 509-522页

作者： Jiqiu LIANG Fei ZHAO Dan WU Anxin DING Hubei Key Laboratory of Advanced Aerospace Propulsion Technology System Design Institute of Hubei Aerospace Technology Academy School of Materials Science and Engineering Wuhan University of Technology State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology

A numerical method to predict the bursting strength of filament wound composite rocket motor case is proposed here. This method can evaluate the longitudinal stress evolution of each composite layer as impregnated filaments with fiber tension are wound layer by layer, and consider the effects of accumulated stress and deformation during filament winding on the bursting strength of composite case. Taking ?520 mm composite cases as a case study, the filament-winding-processinduced stress and deformation as well as progressive damage behavior are numerically predicted,followed by a comparison with experimental results. The numerical results show that the predicted bursting pressures for composite cases manufactured on the mandrels with and without a flexible component are 14.20 MPa and 21.40 MPa, respectively. These values exhibit slight deviation from the measured pressures of 13.50 MPa and 21.57 MPa. Moreover, the predicted damage locations,situated respectively in the dome and cylinder, agree well with the experimental observation. These observations indicate that use of flexible component reduces the load-bearing capacity of the ***, it validates the reliability and accuracy of the proposed numerical method in predicting the bursting strength of composite cases.

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Tristate ferroelectric memory in PZT-based films from antiferroelectric-ferroelectric phase transition

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Ceramics International 2025年

作者： Liu, Yifei Hu, Yang Zhang, Huazhang Wang, Zhiqing Shen, Jie Wu, Zhi Chen, Wen Zhou, Jing State Key Laboratory of Advanced Technology for Materials Synthesis and Processing School of Materials Science and Engineering Wuhan University of Technology Wuhan430070 China Sanya Science and Education Innovation Park Wuhan University of Technology Hainan 572000 China School of Physics and Mechanics Wuhan University of Technology Wuhan430070 China School of Materials and Engineering Hunan Institute of Technology Hengyang421002 China

Ferroelectric random access memory (FeRAM) plays a vital role in information storage due to its unique advantages, driving the demand for high-capacity and high-density solutions. In this paper, a series of PbZr1-xTixO3 (x = 6 %, 8 %, 10 %, 12 %, 14 %) films were prepared using sol-gel and spin-coating methods. As the Ti content increases, the enhancement effect of the ferroelectric order is reflected structurally in XRD and Raman spectra, and electrically in the dielectric and ferroelectric properties. Notably, for x = 12 %, the P-E hysteresis loop exhibits slightly pinched and double-like, and the peaks of the I-V curve are split on both the positive and negative field sides. This ferroelectric behavior is caused by an underlying triple-well free-energy landscape, which is the basis of tristate ferroelectric memory. The measurement results show that the "±1" and "0" states of PbZr0.88Ti0.12O3 film under electric field cycling exhibit excellent programmability. It also achieves promising data retention up to 1000s and endurance up to 107 cycles. This investigation not only verifies the feasibility of applying tristate ferroelectric memory to PZT-based films but also provides a facile method for fabricating tristate ferroelectric memory devices. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Tristate ferroelectric memory Antiferroelectric Ferroelectric Phase transition PZT

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Propagation properties and spatial-mode UWOC performance of quasi-perfect optical vortex beam in an improved oceanic channel

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Optics and Laser technology 2025年 188卷

作者： Xiao, Zhiwei Zhou, Jian Wang, Lin Liu, Guizhen Ding, Zhongjun State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China School of Information Engineering Wuhan University of Technology Wuhan430070 China Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks Wuhan University of Technology Wuhan430070 China National Deep Sea Center Qingdao266237 China

In this study, the Quasi-perfect optical vortex (Quasi-POV) beam with topological charge-independence radial distribution is investigated to enhance the performance of underwater wireless optical communication (UWOC) system based on spatial modes. Additionally, the oceanic channel model is modified to obtain more reliable simulation results. The propagation and communication performance of perfect optical vortex (POV) beam and Quasi-POV beam are compared and analyzed through the modified model. With the optimization of beam's parameters, Quasi-POV beam achieves lower bit-error rate (BER) and higher average capacity in multiple phase shift keying (M−PSK) modulated UWOC system. The results indicate that Quasi-POV beam receives higher normalized intensity and lower crosstalk probability than the POV beam, the average simulation results for the three topologic charge cases show that the BER of Quasi-POV beam at 100 m reduced by approximately 52%, the average capacity of Quasi-POV beam increased by approximately 13.3%. The Quasi-POV beam has better performance than the POV beam in Spatial-Mode UWOC system according to the simulation results, which is more suitable for UWOC system based on spatial modes with smaller values of topologic charge. © 2025 Elsevier Ltd

关键词： Vortex flow

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Synergistic effect of bimodal-sized SiC p and a dynamically precipitated Mg 17 Al 12 phase on microstructure and mechanical properties of SiC p /AZ61 composites during hot extrusion process at different extrusion temperatures

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Journal of materials Research and technology 2025年 36卷 6695-6706页

作者： Ming Li Gang Li Mengling Yao Dijia Zhao Jianxin Zhou Shulin Lü Yajun Yin Xiaoyuan Ji Qiang Chen Hongxia Wang State Key Laboratory of Materials Processing and Die & Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan 430074 PR China Southwest Technology and Engineering Research Institute Chongqing 400039 PR China Shanxi Key Laboratory of Advanced Magnesium Based Materials School of Materials Science and Engineering Taiyuan University of Technology Taiyuan 030024 PR China

To clarify the synergistic effect of bimodally sized (6 vol% micro-sized and 1 vol% nano-sized) SiC particles and a dynamically precipitated Mg 17 Al 12 phase on the microstructure and mechanical properties of SiC p /AZ61 composites during the hot extrusion process, homogenized bimodally sized SiC p /AZ61 composites were extruded at different temperatures (280, 320, and 360 °C). After extrusion, the distribution of SiC p was transformed from a necklace-like arrangement in the as-cast state to a ribbon-like distribution along the direction of extrusion, which was beneficial for stimulating dynamic recrystallization and precipitation nucleation. The size of the dynamically recrystallized grains and the precipitated Mg 17 Al 12 phase, as well as the texture intensity of the composite, gradually increased with an increase in the extrusion temperature, while the fraction of dynamically precipitated Mg 17 Al 12 exhibited the opposite trend. The composite demonstrated optimal tensile strength at an extrusion temperature of 280 °C, characterized by a yield strength (YS) of 260 MPa, an ultimate tensile strength (UTS) of 320 MPa, and an elongation (EL) of 7.4 %. The high strength of the extruded composite was primarily attributed to the synergistic effects of fine-grained strengthening, Orowan strengthening and thermal mismatch strengthening; among these, fine-grained strengthening, and Orowan strengthening played a predominant role.

关键词： SiC p /AZ61 composite Bimodally sized reinforcing particles Dynamically precipitated phases Texture intensity Extrusion Strengthening mechanism

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