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学者姓名：宋晓艳
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Abstract ：
Grain boundary engineering plays a significant role in the improvement of strength and plasticity of alloys. However, in refractory high-entropy alloys, the susceptibility of grain boundaries to oxygen presents a bottleneck in achieving high mechanical performance. Creating a large number of clean grain boundaries in refractory high-entropy alloys is a challenge. In this study, an ultrafine-grained (UFG) NbMoTaW alloy with high grain-boundary cohesion was prepared by powder metallurgy, taking advantages of rapid hot-pressing sintering and full-process inert atmosphere protection from powder synthesis to sintering. By oxygen control and an increase in the proportion of grain boundaries, the segregation of oxygen and formation of oxides at grain boundaries were strongly mitigated, thus the intrinsic high cohesion of the interfaces was preserved. Compared to the coarse-grained alloys prepared by arc-melting and those sintered by traditional powder metallurgy methods, the UFG NbMoTaW alloy demonstrated simultaneously increased strength and plasticity at ambient temperature. The highly cohesive grain boundaries not only reduce brittle fractures effectively but also promote intragranular deformation. Consequently, the UFG NbMoTaW alloy achieved a high yield strength even at elevated temperatures, with a remarkable performance of 1117 MPa at 1200 degrees C. This work provides a feasible solution for producing refractory highentropy alloys with low impurity content, refined microstructure, and excellent mechanical performance. (c) 2024 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
Keyword ：
Grain boundary cohesion Grain boundary cohesion Ultrafine-grained structure Ultrafine-grained structure Refractory high-entropy alloy Refractory high-entropy alloy High-temperature strength High-temperature strength Mechanical performance Mechanical performance
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| GB/T 7714 | Sun, Yaping , Hou, Chao , Li, Yurong et al. Ultrafine-grained refractory high-entropy alloy with oxygen control and high mechanical performance [J]. | JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY , 2024 , 215 : 45-57 . |
| MLA | Sun, Yaping et al. "Ultrafine-grained refractory high-entropy alloy with oxygen control and high mechanical performance" . | JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY 215 (2024) : 45-57 . |
| APA | Sun, Yaping , Hou, Chao , Li, Yurong , Han, Tielong , Liu, Xuemei , Song, Xiaoyan . Ultrafine-grained refractory high-entropy alloy with oxygen control and high mechanical performance . | JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY , 2024 , 215 , 45-57 . |
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Abstract ：
In this study, toughening of WC-Co composite prepared by amorphous-crystallization method was investigated. Co-rich nanoparticles, a Co(W,C) solid solution, were incorporated into the WC matrix through the process integrating crystallization of amorphous Co2W4C powder and its in-situ reaction with carbon. The microstructural evolution of the ceramic-metal composite during fabrication was studied in detail. Owing to the interactions between Co-rich nanoparticles coherent with the WC matrix and the dislocations and stacking faults inside WC grains, the composite exhibited high hardness and strength combined with exceptional fracture toughness. The mechanisms for the synergistic improvement of mechanical properties of the composite were disclosed. [GRAPHICS]
Keyword ：
amorphous-crystallization method amorphous-crystallization method WC-Co composite WC-Co composite fracture toughness fracture toughness coherent interface coherent interface Co-rich nanoparticle Co-rich nanoparticle
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| GB/T 7714 | Xu, Maobao , Wang, Haibin , Liu, Xuemei et al. Microstructural evolution and toughening mechanism of WC-Co composite prepared by amorphous-crystallization method [J]. | MATERIALS RESEARCH LETTERS , 2024 , 12 (12) : 921-928 . |
| MLA | Xu, Maobao et al. "Microstructural evolution and toughening mechanism of WC-Co composite prepared by amorphous-crystallization method" . | MATERIALS RESEARCH LETTERS 12 . 12 (2024) : 921-928 . |
| APA | Xu, Maobao , Wang, Haibin , Liu, Xuemei , Lu, Hao , Song, Xiaoyan . Microstructural evolution and toughening mechanism of WC-Co composite prepared by amorphous-crystallization method . | MATERIALS RESEARCH LETTERS , 2024 , 12 (12) , 921-928 . |
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Abstract ：
Material design based on the assembly of functional units has demonstrated tremendous technical and commercial potential. Among others, polymers are identified to be an ideal building block due to their abundant functional groups, high programmability, and great biocompatibility. In this review, introducing recently developed advanced materials enabled by rationally designed polymer self-assembly are focussed. The working principle of typical intermolecular interactions to shape nano-patterns and structural heterogeneity is first explained in detail. Following that, methods to prepare advanced materials and their characteristic properties are discussed. The superior performance of polymer assemblies renders numerous potential applications in ultra-tough devices, soft robotics, electronics, sensors, and biomedicine. A brief account of representative examples is highlighted and a perspective on this field is provided at the end. Various nanostructured units created by polymer self-assembly provide versatile tools to construct advanced materials. By modulating the spatial organization of those units, superior mechanical, physical, and chemical properties may be achieved in a more rational manner. The as-obtained products have demonstrated great potential in ultra-tough devices, soft robotics, electronics, sensors, and biomedicine. image
Keyword ：
self-assembly self-assembly polymer polymer structure-property relationship structure-property relationship molecular design molecular design advanced functions advanced functions
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| GB/T 7714 | Zhao, Zhi , Zheng, Xiaotong , Li, Yurong et al. Convert Polymer Self-Assembly Nanostructures into Target Functional Materials: An Art of Embattling Molecules [J]. | ADVANCED FUNCTIONAL MATERIALS , 2024 . |
| MLA | Zhao, Zhi et al. "Convert Polymer Self-Assembly Nanostructures into Target Functional Materials: An Art of Embattling Molecules" . | ADVANCED FUNCTIONAL MATERIALS (2024) . |
| APA | Zhao, Zhi , Zheng, Xiaotong , Li, Yurong , Yao, Xuan , Wang, Haibin , Song, Xiaoyan . Convert Polymer Self-Assembly Nanostructures into Target Functional Materials: An Art of Embattling Molecules . | ADVANCED FUNCTIONAL MATERIALS , 2024 . |
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Abstract ：
Shaping hard and brittle materials, e.g. cermets, at micrometer resolution has long been known challenging for both mechanical machining and high energy beam based additive manufacturing. Digital light processing (DLP), which features great printing quality and decent precision, unfortunately lacks capability to deal with the popular slurry-typed cermet precursor due to the tremendous optical absorption by its particles. Here, an innovative protocol based on a versatile collapsable matrix is devised to allow high-precision printing of WC-Co cermets on DLP platform. By tuning the external environment, this matrix attenuates composite powders to facilitate photopolymerization at the printing stage, and shrinks to condense green parts prior to thermal sintering. The as-obtained samples by collapsable matrix assisted DLP can reach a relative density of approximate to 90%, a record-breaking resolution of approximate to 10 mu m, and a microhardness of up to 14.5 GPa. Complex delicate structures, including school emblem, honeycomb, and micro-drill can be directly fabricated, which has never been achieved before. Impressively, the as-obtained micro-drill is able to be directly used in drilling tasks. The above strategy represents a great progress in DLP by enabling shaping strong light attenuating materials at high resolution. Such advantages are ideal for the next generation ceramic-metal composite additive manufacturing. High-precision printing of WC-Co cermets is achieved by collapsable matrix assisted digital light processing (DLP). Such strategy represents a great progress in DLP by enabling shaping strong light attenuating precursors at high resolution. The product features 10 mu m level details, decent relative density and high microhardness, which allows for direct application in drilling tasks. image
Keyword ：
digital light processing digital light processing high-precision high-precision composite materials composite materials additive manufacturing additive manufacturing collapsable matrix collapsable matrix
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| GB/T 7714 | Shan, Yupeng , Zhao, Zhi , Wang, Haibin et al. High-Precision Printing of Cermets by Collapsable Matrix Assisted Digital Light Processing [J]. | SMALL , 2024 . |
| MLA | Shan, Yupeng et al. "High-Precision Printing of Cermets by Collapsable Matrix Assisted Digital Light Processing" . | SMALL (2024) . |
| APA | Shan, Yupeng , Zhao, Zhi , Wang, Haibin , Li, Yurong , Wang, Yue , Xing, Ming et al. High-Precision Printing of Cermets by Collapsable Matrix Assisted Digital Light Processing . | SMALL , 2024 . |
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Abstract ：
A model for describing solute segregation at grain boundaries has been developed for substitutional solid solution alloys, which integrates multiple factors from atomic to microstructural scales. A concept of mo-lar Gibbs free energy of segregation was introduced to evaluate the segregating capability of the solute elements in a closed system, through which the influences of grain boundary structure, grain size, ma-terial composition, and external conditions were described. Based on the evaluation of various energy forms related to solute segregation and grain growth processes, the nature of the thermal stabilization of nanograin structures by solute segregation was disclosed. A criterion for the destabilization of nanostruc-tures, which is determined by the competition of the change rates between the molar Gibbs free energy of segregation and the total energy of grain boundaries with grain size, has been proposed. This study provided guideline to achieve high-temperature stability of nanograin structures of solid solution alloys even for the weakly segregating nanocrystalline systems.& COPY; 2023 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
Keyword ：
Grain boundary segregation Grain boundary segregation Thermal stabilization Thermal stabilization Grain size Grain size Solute concentration Solute concentration Substitutional solid solution Substitutional solid solution
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| GB/T 7714 | Tang, Fawei , Hou, Chao , Lu, Hao et al. Grain-boundary segregation and grain growth in nanocrystalline substitutional solid solution alloys [J]. | JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY , 2024 , 168 : 239-249 . |
| MLA | Tang, Fawei et al. "Grain-boundary segregation and grain growth in nanocrystalline substitutional solid solution alloys" . | JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY 168 (2024) : 239-249 . |
| APA | Tang, Fawei , Hou, Chao , Lu, Hao , Zhao, Zhi , Song, Xiaoyan . Grain-boundary segregation and grain growth in nanocrystalline substitutional solid solution alloys . | JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY , 2024 , 168 , 239-249 . |
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Abstract ：
The hardness of cemented carbides is a fundamental property that plays a significant role in their design, preparation, and application evaluation. This study aims to identify the critical factors affecting the hardness of WC-Co cemented carbides and develop a high-throughput predictive model for hardness. A dataset consisting of raw material composition, sintering parameters and characterization results of cemented carbides is constructed in which the hardness of cemented carbide is set as the target variable. By analyzing the Pearson correlation coefficient, Shapley additive explanations (SHAP) results, WC grain size and Co content are determined to be the key characteristics influencing the hardness of cemented carbide. Subsequently, machine learning models such as support vector regression (SVR), polynomial regression (PR), gradient boosting decision tree (GBDT), and random forest (RF) are optimized to construct prediction models for hardness. Evaluations using 10-fold cross-validation demonstrate that the GBDT algorithm model exhibits the highest accuracy and strong generalization capability, making it most suitable for predicting and analyzing the hardness of cemented carbides. Based on predictions from GBDT algorithm model, PR algorithm model is established to achieve high-precision interpretable prediction of the hardness of cemented carbides. As a result, a quantitative relationship between hardness and Co content and WC grain size is obtained, demonstrating that reducing grain size and Co content is the key to obtaining high hardness of cemented carbide. This research provides a data-driven method for accurately and efficiently predicting cemented carbide properties, presenting valuable insights for the design and development of high-performance cemented carbide materials. [GRAPHICS] .
Keyword ：
machine learning machine learning hardness hardness cemented carbide cemented carbide high-throughput prediction high-throughput prediction
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| GB/T 7714 | Song Rui , Liu Xue-Mei , Wang Hai-Bin et al. Hardness prediction of WC-Co cemented carbide based on machine learning model [J]. | ACTA PHYSICA SINICA , 2024 , 73 (12) . |
| MLA | Song Rui et al. "Hardness prediction of WC-Co cemented carbide based on machine learning model" . | ACTA PHYSICA SINICA 73 . 12 (2024) . |
| APA | Song Rui , Liu Xue-Mei , Wang Hai-Bin , Lu Hao , Song Xiao-Yan . Hardness prediction of WC-Co cemented carbide based on machine learning model . | ACTA PHYSICA SINICA , 2024 , 73 (12) . |
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Abstract ：
Calculating the Curie temperature of rare-earth permanent magnetic materials has remained a big theoretical challenge. In this study, based on a home-built Sm-Co-based alloys database, a data-driven machine learning approach was developed to predict the Curie temperature of Sm-Co-based alloys. High-throughput predictions of Curie temperature were achieved using a genetic program based symbolic regression model. A classification model based on logistic regression was established to quantify the effect of doping on the Curie temperature of Sm-Co-based alloys. The key physical descriptor affecting Curie temperature was extracted from the established machine learning models, and the Curie temperature sensitivity coefficient was defined. It was discovered that the doping elements with large electrical conductivity and similar heat of fusion to that of Sm are likely to increase the Curie temperature of Sm-Co-based alloys. The model predictions were verified quantitatively by the experimental results of a series of prepared Sm-Co-based samples. This work provides a high-efficiency method for developing Sm-Co-based permanent magnets with high Curie temperatures.
Keyword ：
Sensitivity factor Sensitivity factor Doping element Doping element Curie temperature Curie temperature Machine learning Machine learning Sm-Co alloys Sm-Co alloys
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| GB/T 7714 | Xu, Guojing , Cheng, Feng , Lu, Hao et al. Predicting the Curie temperature of Sm-Co-based alloys via data-driven strategy [J]. | ACTA MATERIALIA , 2024 , 274 . |
| MLA | Xu, Guojing et al. "Predicting the Curie temperature of Sm-Co-based alloys via data-driven strategy" . | ACTA MATERIALIA 274 (2024) . |
| APA | Xu, Guojing , Cheng, Feng , Lu, Hao , Hou, Chao , Song, Xiaoyan . Predicting the Curie temperature of Sm-Co-based alloys via data-driven strategy . | ACTA MATERIALIA , 2024 , 274 . |
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Abstract ：
Refractory high-entropy alloys (RHEAs) are susceptible to phase transition at elevated temperatures, inducing deviation in the phase constitution from the intended design hence affecting the performance significantly. Accurate prediction of phase constitution and modulation of phase stability over a broad temperature range is crucial to develop RHEAs with superior properties. In this study, thermodynamic and first-principles calculations were integrated to investigate the temperature-dependent phase constitution in the CrTaVW alloy system. The effect of V and W atoms occupation sites on the stability of TaCr2 2 Laves phase was evaluated. Both V or W atoms tend to occupy Cr sites in TaCr2, 2 , and V exhibits stronger alloying ability than W due to the reduced electronic density at the Fermi level. Moreover, with increasing the doping content, the V and W exhibit opposite influencing trends on the formation and structural stability of TaCr2 2 Laves phase. The Gibbs free energies of the Laves phase and solid solutions with variable compositions were obtained, enabling predictions for the critical temperatures of the phase transitions. The predicted behaviors of phase transitions were validated by experiments. This study provides guidance for modulating phase constitution and achieving desirable phase stability in RHEAs.
Keyword ：
First-principles calculation First-principles calculation Refractory high-entropy alloys Refractory high-entropy alloys Phase constitution Phase constitution Phase transition Phase transition
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| GB/T 7714 | Fu, Xiaoyu , Li, Yurong , Hou, Chao et al. Phase stability and transition of CrTaVW high-entropy alloy [J]. | JOURNAL OF ALLOYS AND COMPOUNDS , 2024 , 1002 . |
| MLA | Fu, Xiaoyu et al. "Phase stability and transition of CrTaVW high-entropy alloy" . | JOURNAL OF ALLOYS AND COMPOUNDS 1002 (2024) . |
| APA | Fu, Xiaoyu , Li, Yurong , Hou, Chao , Lu, Hao , Song, Xiaoyan . Phase stability and transition of CrTaVW high-entropy alloy . | JOURNAL OF ALLOYS AND COMPOUNDS , 2024 , 1002 . |
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Abstract ：
This work was supported by the National Key R & D Program of China (2022YFB3708800), the National Natural Science Foundation of China (92163107, 52271085, 52101003, 52171061, 52101031, and
Keyword ：
Crystal nucleation Crystal nucleation Fracture toughness Fracture toughness Ceramic grain growth Ceramic grain growth Phase transformation Phase transformation Interfacial coherence Interfacial coherence
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| GB/T 7714 | Xu, Maobao , Liu, Xuemei , Lu, Hao et al. Increase of specific interfacial coherence in nanocrystalline ceramic-metal composites [J]. | COMPOSITES PART B-ENGINEERING , 2023 , 263 . |
| MLA | Xu, Maobao et al. "Increase of specific interfacial coherence in nanocrystalline ceramic-metal composites" . | COMPOSITES PART B-ENGINEERING 263 (2023) . |
| APA | Xu, Maobao , Liu, Xuemei , Lu, Hao , Wang, Haibin , Zhao, Zhi , Hou, Chao et al. Increase of specific interfacial coherence in nanocrystalline ceramic-metal composites . | COMPOSITES PART B-ENGINEERING , 2023 , 263 . |
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Abstract ：
Owing to high water content and homogeneous texture, conventional hydrogels hardly reach satisfactory mechanical performance. Tensile-resistant groups and structural heterogeneity are employed to fabricate tough hydrogels. However, those techniques significantly increase the complexity and cost of material synthesis, and have only limited applicability. Here, it is shown that ultra-tough hydrogels can be obtained via a unique hierarchical architecture composed of chemically coupled self-assembly units. The associative energy dissipation among them may be rationally engineered to yield libraries of tough gels with self-healing capability. Tunable tensile strength, fracture strain, and toughness of up to 19.6 MPa, 20 000%, and 135.7 MJ cm ⁻(3) are achieved, all of which exceed the best known records. The results demonstrate a universal strategy to prepare desired ultra-tough hydrogels in predictable and controllable manners.
Keyword ：
rational design rational design ultra-tough hydrogel ultra-tough hydrogel self-healing self-healing hierarchical network hierarchical network associative energy dissipation associative energy dissipation
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| GB/T 7714 | Zhao, Zhi , Li, Yurong , Wang, Haibin et al. Ultra-Tough Self-Healing Hydrogel via Hierarchical Energy Associative Dissipation [J]. | ADVANCED SCIENCE , 2023 , 10 (27) . |
| MLA | Zhao, Zhi et al. "Ultra-Tough Self-Healing Hydrogel via Hierarchical Energy Associative Dissipation" . | ADVANCED SCIENCE 10 . 27 (2023) . |
| APA | Zhao, Zhi , Li, Yurong , Wang, Haibin , Shan, Yupeng , Liu, Xuemei , Wu, Mengfei et al. Ultra-Tough Self-Healing Hydrogel via Hierarchical Energy Associative Dissipation . | ADVANCED SCIENCE , 2023 , 10 (27) . |
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