Computational Materials Science最新文献

{"title":"Harnessing graph convolutional neural networks for identification of glassy states in metallic glasses","authors":"Emily J. Gurniak, Suyue Yuan, Xuezhen Ren, Paulo S. Branicio","doi":"10.1016/j.commatsci.2024.113257","DOIUrl":"https://doi.org/10.1016/j.commatsci.2024.113257","url":null,"abstract":"Graph Convolutional Neural Networks (GCNNs) have emerged as powerful tools for analyzing materials. In this study, we employ GCNNs to examine structural characteristics of CuZr metallic glasses (MGs) and identify their states. We use molecular dynamics to simulate the quenching process of CuZr, using cooling rates ranging from 10 to 10 K/s to produce six unique glassy states. For each state, we create a dataset comprising 1,800 distinct samples. We evaluate the effectiveness of various GCNNs, including Graph Attention Neural Network (GANN), Graph Sample and AggreGatE (GraphSAGE), Graph Isomorphism Network (GIN), and Relational Graph Convolutional Neural Network (RGCN). GANN and GraphSAGE demonstrate comparable performance, achieving an overall accuracy of 81 % in classifying the MG states. These results underscore the potential of GCNNs to detect subtle structural variances in disordered materials and point to broader application of deep learning in the analysis of MGs and other amorphous substances.","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal properties of liquid entrapped between hybrid wettability surface","authors":"","doi":"10.1016/j.commatsci.2024.113232","DOIUrl":"10.1016/j.commatsci.2024.113232","url":null,"abstract":"<div><p>Molecular dynamics (MD) simulations were conducted to investigate the impact of hybrid wettability on thermal properties, specifically focusing on the constant volume molar heat capacity and thermal conductivity of Nano-confined liquid (NCL). The simulation domain, maintained at a temperature of 100<!--> <!-->K, consisted of a <span><math><mrow><mo>∼</mo><mn>3</mn><mspace></mspace><mi>nm</mi></mrow></math></span> — thin film of liquid argon entrapped between two solid copper surfaces with hybrid wettability. Hybrid wettability surfaces were produced by varying the solid–liquid interaction parameter and applying two different wettability factors (<span><math><mi>μ</mi></math></span>) to the same surface. In this study, key findings pertaining to the influence of hybrid wettability on heat capacity and thermal conductivity include: (i) The heat capacity of liquid confined within hybrid wettability surfaces surpasses the heat capacity of the liquid in its bulk form. The heat capacity of bulk argon liquid is 20 J/mol k, but the liquid confined in the Hybrid I surface has a maximum heat capacity of roughly <span><math><mo>∼</mo></math></span>53.2 J/mol k, which is 2.3 times higher. (ii) Remarkably, liquid confined in patterned wettability surfaces exhibited higher maximum heat capacity compared to the liquid confined inside uniform (Fully hydrophobic or hydrophilic) surfaces. The maximal heat capacity of liquid confined in Hybrid I surface is approximately <span><math><mo>∼</mo></math></span>53.2 J/mol K, while the heat capacity of confined argon in a fully hydrophilic surface is around <span><math><mo>∼</mo></math></span>30 J/mol K. (iii) Moreover, the heat capacity exhibits intriguing patterns. As the proportion of hydrophilic regions on the hybrid surfaces rose, there was a corresponding increase in heat capacity up to a specific threshold, beyond which the heat capacity dropped. (iv) Unlike Heat capacity, thermal conductivity exhibits a consistent behavior. A gradual decrease of thermal conductivity in the liquid region is observed as hydrophilic portions of the hybrid surface increase. The incorporation of hybrid wettability surfaces transforms the behavior of nano-confined liquid, inducing both structural and dynamic changes. These structural and dynamic variations result in the division of the entire simulation domain into two distinct zones: (i) Solid-like nanolayer zones located near the walls and (ii) Liquid zones located further away from the wall. The behavior of argon molecules in these two zones is completely different. Argon molecules in the solid-like layer exhibit increased density, higher potential energy, less translational motion and vigorous vibration over a frequency range of <span><math><mo>∼</mo></math></span>0 to <span><math><mo>∼</mo></math></span> 3 THz. Conversely, the argon molecules in the liquid layer mostly exhibit translational motion. However, this translational motion is hindered as the hydrophilic area of th","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-objective optimization assisting three-dimensional quantitative Cahn-Hilliard simulations of microstructure evolution in Fe-Cr alloys during spinodal decomposition","authors":"Tongdi Zhang, Jing Zhong, Lijun Zhang","doi":"10.1016/j.commatsci.2024.113260","DOIUrl":"https://doi.org/10.1016/j.commatsci.2024.113260","url":null,"abstract":"Phase separation occurring spinodal decomposition is considered responsible for the “475 °C embrittlement” in Fe-Cr alloys. It is thus critical to gain quantitative descriptions of the microstructure evolution in Fe-Cr alloys during spinodal decomposition. However, quantitative in-situ or ex-situ experimental observations of spinodal decomposition processes in Fe-Cr alloys are generally scarce, and most numerical simulations are still not completely quantitative. In this paper, the Cahn-Hilliard simulations regarding spinodal decomposition in Fe-Cr alloys were systematically summarized. We employed the Pareto optimal driven automation framework to perform quantitative three-dimensional Cahn-Hilliard simulations of microstructure evolution in Fe-Cr alloys during spinodal decomposition process. The sampling efficiency of newly developed exploration strategies and different searching algorithms were extensively examined and discussed. The uncertain material/model parameters of the Cahn-Hilliard model were derived by considering multiple characteristic microstructure data. The remarkable consistency between the simulated multiple microstructure characteristics and the experimental observations further validated the generalization ability of the parameters set. It shows a massive potential that the parameters set can quantitatively simulate microstructure evolution in Fe-Cr alloys under various conditions. Furthermore, the capability of the Pareto optimal driven automation framework was reconfirmed by its successful application to Fe-Cr alloys.","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the electronic properties of TiB2/γ-Fe(1 1 1) and TiB2/Ni(1 1 1) interfaces","authors":"","doi":"10.1016/j.commatsci.2024.113261","DOIUrl":"10.1016/j.commatsci.2024.113261","url":null,"abstract":"<div><p>In order to explore the interfacial bonding mechanisms of TiB₂/γ-Fe and TiB₂/Ni in the composites, the adhesion work, electronic properties and fracture toughness of the TiB₂(0<!--> <!-->0<!--> <!-->1)/ γ-Fe(1<!--> <!-->1<!--> <!-->1) and TiB₂(0<!--> <!-->0<!--> <!-->1)/Ni(1<!--> <!-->1<!--> <!-->1) interfaces were investigated using first-principles calculations. The results reveal that the surface energy of the TiB₂ surface at the B-terminated is the smallest and the constructed TiB₂(0<!--> <!-->0<!--> <!-->1)/ γ-Fe(1<!--> <!-->1<!--> <!-->1) interface has the largest adhesive energy. The electronic structures of the TiB₂(0<!--> <!-->0<!--> <!-->1)/γ-Fe(1<!--> <!-->1<!--> <!-->1) and TiB₂(0<!--> <!-->0<!--> <!-->1)/Ni(1<!--> <!-->1<!--> <!-->1) interfaces reveal that bonding at the interfaces is provided by the B-2p orbitals with the Fe-3d and Ni-3d orbitals, respectively, and that the formation of Fe-B and Ni-B covalent/ionic bonds is the main source of bonding and interaction. The bonding and strength of Fe-B in the TiB₂(0<!--> <!-->0<!--> <!-->1)/γ-Fe(1<!--> <!-->1<!--> <!-->1) interface is stronger than that in the TiB₂(0<!--> <!-->0<!--> <!-->1)/Ni(1<!--> <!-->1<!--> <!-->1) interface, which is due to the higher charge density accumulation of Fe atoms at the TiB₂(0<!--> <!-->0<!--> <!-->1)/γ-Fe(1<!--> <!-->1<!--> <!-->1) interface. Using Griffith’s theory, the TiB₂(0<!--> <!-->0<!--> <!-->1)/γ-Fe(1<!--> <!-->1<!--> <!-->1) interface is inferred to have the strongest fracture toughness. This study suggests that the chemical bonding stronger Fe-B bonds result in a high bond strength and a more stable interfacial structure at the TiB₂(0<!--> <!-->0<!--> <!-->1)/ γ-Fe(1<!--> <!-->1<!--> <!-->1) interface, leading to better resistance to cracking in practice.</p></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reaction mechanism of CO2 on the surface δ-Pu(1 0 0):a DFT study","authors":"","doi":"10.1016/j.commatsci.2024.113267","DOIUrl":"10.1016/j.commatsci.2024.113267","url":null,"abstract":"<div><p>This investigation elucidates the adsorptive and dissociative interactions of CO₂ and CO molecules with the δ-Pu (1<!--> <!-->0<!--> <!-->0) surface, utilizing state-of-the-art first-principles calculations. The study unearths that the hollow site epitomizes the most favorable adsorption locus for both CO₂ and CO. Within the paramount adsorption configuration, there prevails a propensity for both species to partake in dissociative adsorption, characterized by CO₂ cleaving into an O atom and a concomitant CO moiety, whereas CO disintegrates into discrete C and O atoms. The dissociation energy barriers conducive to such configurations are computed to be 3.0568 eV for CO₂ and 5.1667 eV for CO. A thorough analysis of electronic charges and density of states intimates a transfer of electrons from the Plutonium surface atoms to the carbonaceous adsorbates during dissociation. Post dissociation of the C-O bond, the 6<em>d</em> orbitals of Plutonium engage in electronic hybridization with the 2<em>p</em> orbitals of Carbon, culminating in the constitution of ionic bonding.</p></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the mechanics responsible for strain delocalization in metallic glass matrix composites","authors":"","doi":"10.1016/j.commatsci.2024.113253","DOIUrl":"10.1016/j.commatsci.2024.113253","url":null,"abstract":"<div><p>Metallic glass matrix composites (MGMCs) represent a promising avenue for enhancing the ductility of monolithic metallic glass. These composites utilize a secondary crystalline phase to aid in the delocalization of strain. This work seeks to understand the mechanisms underlying strain delocalization in MGMCs to guide further advancements in this class of material. Employing a mesoscale shear transformation zone (STZ) dynamics model, we investigate how variation in dendritic microstructural sizes and spacings impact the shear banding behaviors of MGMCs subjected to uniaxial tensile loading. Statistical analysis of shear banding characteristics reveals that the competition of shear band nucleation and propagation rates can encourage strain delocalization in MGMCs. The introduction of a crystalline dendritic structure into the amorphous matrix increases the number of shear band nucleation events while reducing shear band propagation rates. Furthermore, reducing dendrite sizes leads to greater strain delocalization among more shear bands and delays the onset of run-away shear bands, resulting in lower overall shear band growth rates. Therefore, this study sheds light on the crucial role of dendritic microstructural sizes in influencing shear banding characteristics and strain delocalization in MGMCs, offering valuable insights to inform the design and development of advanced materials with superior mechanical properties.</p></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-assisted prediction and interpretation of electrochemical corrosion behavior in high-entropy alloys","authors":"","doi":"10.1016/j.commatsci.2024.113259","DOIUrl":"10.1016/j.commatsci.2024.113259","url":null,"abstract":"<div><p>In this study, machine learning (ML) models were successfully employed to predict the short-term electrochemical corrosion behavior of high-entropy alloys (HEAs) based on their chemical compositions. Considering the vast compositional space of HEAs, which restricts the development of corrosion-resistant HEAs, and the lack of non-destructive methods to qualitatively assess their corrosion resistance, this work represents a significant advancement in the field. The “three-step” method was applied to select the optimal feature set from 38 features, and six ML regression models were trained and compared. The eXtreme Gradient Boosting (XGBoost) and Gradient Boosting Decision Tree (GBDT) algorithms demonstrated the highest predictive accuracy (<em>R²</em> = 81.02 % and 84.64 %, respectively) among the six algorithms. The model’s robust generalization capabilities were confirmed through validation on an additional dataset. Moreover, the interpretability of the model was enhanced by employing two analysis methods, which revealed that pH as an environmental factor, electronegativity difference and average electronegativity as empirical parameters, and the concentrations of Cr and Cu as compositional parameters have the most significant impact on the corrosion resistance of HEAs. The proposed methodology and framework have the potential to optimize alloy composition, facilitating the design and development of new corrosion-resistant HEAs.</p></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inhomogeneous elastic stretching of carbon nanosprings","authors":"","doi":"10.1016/j.commatsci.2024.113254","DOIUrl":"10.1016/j.commatsci.2024.113254","url":null,"abstract":"<div><p>Atomistic modeling of carbon nanosprings under tension is performed. Two types of nanosprings are considered, the <span><math><mi>l</mi></math></span>-helicene (C<span><math><msub><mrow></mrow><mrow><msup><mrow><mi>l</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></msub></math></span>H<span><math><msub><mrow></mrow><mrow><mi>l</mi></mrow></msub></math></span>)<span><math><msub><mrow></mrow><mrow><mi>∞</mi></mrow></msub></math></span> in the form of a helicoid and the <span><math><mi>l</mi></math></span>-kekulene (C<span><math><msub><mrow></mrow><mrow><msup><mrow><mi>l</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>−</mo><mn>1</mn></mrow></msub></math></span>H<span><math><msub><mrow></mrow><mrow><mi>l</mi><mo>+</mo><mn>1</mn></mrow></msub></math></span>)<span><math><msub><mrow></mrow><mrow><mi>∞</mi></mrow></msub></math></span> in the form of a spiral graphene nanoribbon. The molecules exhibit large elastic (reversible) deformations of 200%–500%. Surprisingly, <span><math><mi>l</mi></math></span>-helicene with <span><math><mrow><mi>l</mi><mo>&gt;</mo><mn>3</mn></mrow></math></span> and <span><math><mi>l</mi></math></span>-kekulene with <span><math><mrow><mi>l</mi><mo>&gt;</mo><mn>2</mn></mrow></math></span> are stretched inhomogeneously, so that the domains with small and large tensile deformation are observed within certain range of relative elongation. Moreover, within this range of elongation, the stretching occurs at constant tensile force. This behavior is explained by calculating the potential energy of homogeneously stretched nanosprings as a function of elongation. These curves have a non-convex shape within the range of relative elongation where the inhomogeneous deformation occurs. When the constraint of homogeneous tension is not applied, the system does not follow the non-convex dependence of energy on elongation, but rather the tangent line to this curve. Since energy is a linear function of elongation, the force is constant in the region of inhomogeneous deformation. The results presented demonstrate the possibility of creating graphene nanosprings that deform over a wide range of strain with a constant tensile force.</p></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ab initio simulation of the dynamic shock response of single crystal and lightweight multicomponent alloy","authors":"","doi":"10.1016/j.commatsci.2024.113268","DOIUrl":"10.1016/j.commatsci.2024.113268","url":null,"abstract":"<div><p>The dynamic response of shock wave impact on single crystal aluminium and lightweight multicomponent alloy Al-Cu-Li-Mg is simulated by using the combination of Ab initio Molecular Dynamics (AIMD) and Multi-Scale Shock Technique (MSST), with the analysis carried out at the atomic/electronic levels. The simulation is verified by comparing the particle velocity of single crystal obtained in this work with the data in literature. The shock compression process not only involves the migration of atoms, but also is related to electronic transition. Two stages could be found in the shock compression process: oscillatory compression of the crystal cell and oscillatory migration of the atoms. The crystal structure of the multicomponent alloy could be disordered even at low shock speed, due to the difference in the ability to migrate between different kinds of atoms. As the sample is shock-compressed, the contribution proportion of crystal orbitals shows a sharp decrease for D orbital, while it increases significantly for S orbital and P orbital. The electron structure shows a quicker response to the shock wave compression process than the crystal structure. The orbital contribution from P orbital of the crystal is mainly due to the P orbital of Al atoms, while the orbital contribution from D orbital of the crystal is mainly due to the D orbital of Cu atoms. Total Density of States (TDOS) is mainly contributed by the Projected Density of State (PDOS) of Cu atoms in the occupied state of energy levels, while it is close to the PDOS of Al atoms in the non-occupied state of energy levels.</p></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141947388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermoelectric properties of low thermal conductivity half Heuslers TiXPb (X = Ni, Pd, Pt): A first principles investigation","authors":"","doi":"10.1016/j.commatsci.2024.113250","DOIUrl":"10.1016/j.commatsci.2024.113250","url":null,"abstract":"<div><p>Semiconducting half-Heusler alloys are potential candidates for thermoelectric generators operational at high temperatures. In this work, the stability, electronic, and thermoelectric properties of 18 valence electron TiXPb (X<span><math><mo>=</mo></math></span>Ni, Pd, Pt) compounds are investigated using density functional theory and semi-classical Boltzmann transport theory. The compounds are both thermodynamically and dynamically stable. We find them to be semiconductors with indirect band gaps lying between 0.32−0.64 eV. Our calculations show that from thermoelectric performance perspective electrons exhibit better transport properties than holes. A combination of large power factor and low lattice thermal conductivity results in <span><math><mrow><mi>z</mi><mi>T</mi><mo>&gt;</mo><mn>1</mn></mrow></math></span> in all the materials. Our calculations predict that amongst the three compounds, TiPtPb have a maximum value of <span><math><mrow><mi>z</mi><mi>T</mi></mrow></math></span> for both electrons and holes. In this material our calculation yields a maximum <span><math><mrow><mi>z</mi><mi>T</mi></mrow></math></span> of 2.22 at 900 K for n-type doping at a doping concentration of 9.46 × <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>20</mn></mrow></msup></mrow></math></span> <span><math><msup><mrow><mi>cm</mi></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></math></span> and 1.80 at 900 K for p-type doping at a doping concentration of 4.51 × <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>20</mn></mrow></msup></mrow></math></span> <span><math><msup><mrow><mi>cm</mi></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></math></span>.</p></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141949956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}