IF 9.4 1区材料科学

Acta Materialia Pub Date : 2025-06-22 DOI: 10.1016/j.actamat.2025.121284

Sizheng Zheng, Xu Hou, Peng Han, Tao Xu, Takahiro Shimada, Jie Wang

{"title":"Tunable Lamb Wave Bandgap Based on 90° Diffuse Domain Walls in Ferroelectric Thin Films","authors":"Sizheng Zheng, Xu Hou, Peng Han, Tao Xu, Takahiro Shimada, Jie Wang","doi":"10.1016/j.actamat.2025.121284","DOIUrl":"https://doi.org/10.1016/j.actamat.2025.121284","url":null,"abstract":"Ferroelectric and piezoelectric thin films hold significant potential for tunable acoustic devices. While the elastodynamic properties of ferroelectric thin films have been studied for various domain structures, the influence of diffuse domain walls on acoustic waves remains unexplored. In this study, using a phase-field perturbation model, the effect of 90° diffuse domain walls on Lamb wave propagation in ferroelectric thin films is investigated. Modal analysis reveals that the local negative shear modulus induces localized shear vibrations within the diffuse domain walls, disrupting the symmetry of Lamb wave mode in ferroelectric thin films. This disruption further leads to strong coupling between distorted symmetric and antisymmetric Lamb modes, resulting in multiple bandgap formations. The bandgaps can be successfully tuned through changing the spacing of domain walls, which can be easily realized by applying external strains or electric fields. In addition, the nonlinear scaling laws are predicted for the bandgaps, which are in good agreement with previous experimental reports. This work suggests an effective method for designing tunable acoustic metamaterials based on ferroelectric thin films.","PeriodicalId":238,"journal":{"name":"Acta Materialia","volume":"14 1","pages":""},"PeriodicalIF":9.4,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bionic Perception of Surface Adhesion via a Magnetized Spring-like Sensor with Axial Stretchability 基于具有轴向可拉伸性的磁化弹簧传感器的表面粘附仿生感知

IF 17.1 1区材料科学

ACS Nano Pub Date : 2025-06-22 DOI: 10.1021/acsnano.5c07356

Yuanzhe Liang, Biao Qi, Ming Lei, Yingyi Zhang, Yifan Liu, Yinning Zhou, Jianyi Luo, Bingpu Zhou

{"title":"Bionic Perception of Surface Adhesion via a Magnetized Spring-like Sensor with Axial Stretchability","authors":"Yuanzhe Liang, Biao Qi, Ming Lei, Yingyi Zhang, Yifan Liu, Yinning Zhou, Jianyi Luo, Bingpu Zhou","doi":"10.1021/acsnano.5c07356","DOIUrl":"https://doi.org/10.1021/acsnano.5c07356","url":null,"abstract":"Perception of surface adhesion is one essential capability of a human fingertip, which is normally realized by touching the target surface with subsequent skin vibrations. However, such functionality is difficult to realize in flexible sensors and robotic systems due to the challenges in axial stretchability with reliable electrical feedback. In this study, we developed a bionic three-dimensional flexible magnetized spring (3D-FMS) that can quantitatively recognize surface adhesion based on electromagnetic induction. Combined with the laser processing with predefined patterns, we show that a raw flexible cube can be converted to highly stretchable spring-like geometry with excellent bidirectional deformation in axial orientation. Furthermore, the mechanical elongation caused by adhesion is critical for the induced voltage signals, allowing us to establish a model that relates adhesion strength with electrical outputs in a linear behavior. Via optimization of the process parameters, the device exhibits tailored stiffness to modulate the sensing sensitivity and working range on demand. With the established interactive interface, the wearable tests and robotic integration demonstrate the potential of the 3D-FMS for adhesion perception as a human fingertip. We expect that the strategy will offer a valuable reference to explore 3D wearable devices that advances robotic systems with more bionic functions such as stickiness determination.","PeriodicalId":21,"journal":{"name":"ACS Nano","volume":"7 1","pages":""},"PeriodicalIF":17.1,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Minimal Al promotes dual-superlattice precipitates in Ni2.1CoCrFeTa0.2 high entropy alloy with excellent tensile properties 微量Al促进了Ni2.1CoCrFeTa0.2高熵合金的双超晶格析出，具有优异的拉伸性能

IF 4.3 2区材料科学

Intermetallics Pub Date : 2025-06-21 DOI: 10.1016/j.intermet.2025.108888

Rongtian Cao, Jianlin Lu, Zhongsheng Yang, Songyu Wang, Lei Wang, Junjie Li, Zhijun Wang, Jincheng Wang, Feng He

{"title":"Minimal Al promotes dual-superlattice precipitates in Ni2.1CoCrFeTa0.2 high entropy alloy with excellent tensile properties","authors":"Rongtian Cao, Jianlin Lu, Zhongsheng Yang, Songyu Wang, Lei Wang, Junjie Li, Zhijun Wang, Jincheng Wang, Feng He","doi":"10.1016/j.intermet.2025.108888","DOIUrl":"10.1016/j.intermet.2025.108888","url":null,"abstract":"<div><div>L1<sub>2</sub> and D0<sub>22</sub> superlattices have shown excellent strengthening effects and good thermal stability in high entropy alloys (HEA). Cooperating these two precipitates in one alloy has been proved promising in enhancing the comprehensive properties. However, design of the dual-superlattice precipitates in HEAs is still challenging due to unexplored interactions between the L1<sub>2</sub> and D0<sub>22</sub> phases during thermal aging. Here, we showed that addition of minimal L1<sub>2</sub>-forming Al (0.5 at. %) led to L1<sub>2</sub>-D0<sub>22</sub> dual superlattice precipitates in Ni<sub>2.1</sub>CoCrFeTa<sub>0.2</sub>. Our results showed that as the content of Al increases from 0 to only 1 at. %, the dominant precipitates in Ni<sub>2.1</sub>CoCrFeTa<sub>0.2</sub> changed from single D0<sub>22</sub> phase to L1<sub>2</sub>-D0<sub>22</sub> dual phases, and finally single L1<sub>2</sub> phase. Samples were annealed at different temperatures ranging from 650 °C to 750 °C. When the temperature is higher than 700 °C, D0<sub>22</sub> phase become unstable, the dual-superlattice structure will be disrupted. Superior tensile strength of 1550 MPa and good fracture elongation of 16 % are achieved by aging the (Ni<sub>2.1</sub>CoCrFeTa<sub>0.2</sub>)<sub>99.5</sub>Al<sub>0.5</sub> HEA at 700 °C for 84 h. These insights provide guidance for the design of precipitation-hardened alloys with better mechanical properties.</div></div>","PeriodicalId":331,"journal":{"name":"Intermetallics","volume":"185 ","pages":"Article 108888"},"PeriodicalIF":4.3,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comparison analysis on electrical conductivity relaxation methods 电导率弛豫方法的比较分析

IF 3.9 3区材料科学

Materials Science and Engineering: B Pub Date : 2025-06-21 DOI: 10.1016/j.mseb.2025.118500

Chengjie Gong , Wenbo Ma , Tong Liu , Yanxiang Zhang , Mufu Yan

{"title":"A comparison analysis on electrical conductivity relaxation methods","authors":"Chengjie Gong , Wenbo Ma , Tong Liu , Yanxiang Zhang , Mufu Yan","doi":"10.1016/j.mseb.2025.118500","DOIUrl":"10.1016/j.mseb.2025.118500","url":null,"abstract":"<div><div>This study compares the Distribution of Characteristic Times (DCT) and ECRTOOLS for analyzing oxygen transport kinetics in mixed ionic-electronic conductors (MIECs). Experimental validation on dense Sr<sub>2</sub>Fe<sub>1.5</sub>Mo<sub>0.5</sub>O<sub>6−</sub><em><sub>δ</sub></em>(SFM)under stepwise oxygen partial pressure changes demonstrates that ECRTOOLS, relying on three-dimensional Fickian diffusion and single-mechanism assumptions, fails to accurately fit data. In contrast, DCT converts time-domain relaxation into frequency-domain spectra, resolving multi-mechanistic dynamics via characteristic time distributions. DCT distinguishes surface exchange control (single peak), bulk diffusion control (τ<sub>P1</sub>/τ<sub>P2</sub> = 9), and mixed control (τ<sub>P1</sub>/τ<sub>P2</sub> > 9), achieving lower residuals than ECRTOOLS. While ECRTOOLS yields unphysical parameters violating Biot number consistency, DCT captures synergistic oxygen vacancy-surface exchange interactions. Challenges persist in interpreting non-ideal spectral artifacts and linking peaks to microstructural properties. This work establishes DCT as a superior tool for probing complex transport mechanisms, advancing the design of electrochemical devices like solid oxide fuel cells.<sup>[email protected]</sup></div></div>","PeriodicalId":18233,"journal":{"name":"Materials Science and Engineering: B","volume":"321 ","pages":"Article 118500"},"PeriodicalIF":3.9,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335690","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}

引用次数: 0

Low-cycle fatigue behaviour of boron-added 9% Cr martensitic steel: Effects of temperature, strain rate, and strain amplitude 添加硼9% Cr马氏体钢的低周疲劳行为：温度、应变速率和应变幅值的影响

IF 6 2区材料科学

International Journal of Fatigue Pub Date : 2025-06-21 DOI: 10.1016/j.ijfatigue.2025.109110

Michal Bartošák, Vladimír Mára, Tomáš Vražina, Miroslav Španiel, Ivo Šulák

引用次数: 0

Graphite braced Multi-scale Porous SiOC/Sn Ceramics as Novel Anode Materials for Lithium-Ion Batteries 石墨支撑多孔SiOC/Sn陶瓷作为新型锂离子电池负极材料

IF 6.6 3区材料科学

Electrochimica Acta Pub Date : 2025-06-21 DOI: 10.1016/j.electacta.2025.146642

Yiling Quan, Xiwen Xia, Peifeng Feng, Wanru Lin, Xuedong Wu, Mingguang Zhang, Kun Liang, Yujie Song, Xigao Jian, Jian Xu

{"title":"Graphite braced Multi-scale Porous SiOC/Sn Ceramics as Novel Anode Materials for Lithium-Ion Batteries","authors":"Yiling Quan, Xiwen Xia, Peifeng Feng, Wanru Lin, Xuedong Wu, Mingguang Zhang, Kun Liang, Yujie Song, Xigao Jian, Jian Xu","doi":"10.1016/j.electacta.2025.146642","DOIUrl":"https://doi.org/10.1016/j.electacta.2025.146642","url":null,"abstract":"To improve the conductivity and porosity of polymer derived SiOC ceramics, we incorporated graphite into the Sn-containing SiOC precursor (SG), thereby constructing multiscale porous architectures. The introduction of graphite has a dual effect. Firstly, it stabilizes the foam structure of the polymer, and secondly, it acts as a carbon source, promoting the carbothermal reduction of Sn oxide, releasing more gas, and leading to the formation of micropores. As a result, the specific surface area increases from 31 m<sup>2</sup> g<sup>-1</sup> to 68 m<sup>2</sup> g<sup>-1</sup>. The excellent electrical conductivity of graphite and the more stable porous structure brought by the introduction of graphite enhanced the electrochemical performance of the material as an anode, enabling SG to exhibit a high specific capacity of 412.3 mA h g<sup>-1</sup> at 1 A g<sup>-1</sup> while maintaining an outstanding rate performance. Moreover, the material retains a capacity of 341.3 mA h g<sup>-1</sup> even after enduring 1000 cycles at a current density of 1 A g<sup>-1</sup>, demonstrating remarkable cycling stability. The integration of polymer-derived SiOC ceramics with graphite to construct a multi-scale porous strategy paves the way for the practical use of advanced lithium-ion batteries.","PeriodicalId":305,"journal":{"name":"Electrochimica Acta","volume":"244 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337590","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}

引用次数: 0

On the mechanisms controlling grain boundary cracking in Ni-based superalloy René 41 with boron and carbon additions 硼和碳对ni基高温合金ren<s:1> 41晶界开裂的控制机理

IF 7.6 2区材料科学

Materials & Design Pub Date : 2025-06-21 DOI: 10.1016/j.matdes.2025.114283

F. Theska , S.R. Street , M. Lison-Pick , M.J. Paul , B. Gludovatz , S. Primig

{"title":"On the mechanisms controlling grain boundary cracking in Ni-based superalloy René 41 with boron and carbon additions","authors":"F. Theska , S.R. Street , M. Lison-Pick , M.J. Paul , B. Gludovatz , S. Primig","doi":"10.1016/j.matdes.2025.114283","DOIUrl":"10.1016/j.matdes.2025.114283","url":null,"abstract":"<div><div>Cast & wrought Ni-based superalloys with the highest alloying contents are designed to endure the harshest environments in gas turbine engines. Their high-temperature properties are unlocked by complex microstructures of a γ-matrix, γ’ precipitates, and various grain boundary (GB) (co–)precipitates, typically GB-γ’, carbides, and/or borides. However, their applications are often limited by GB cracking. Micro-alloying additions of B and C are added to improve GB cohesion but may further promote M<sub>6</sub>C, M<sub>23</sub>C<sub>6</sub>, and M<sub>2</sub>B precipitation in addition to GB-γ’. Three mechanisms known to control GB cracking are mesoscale strains and stresses, the nanoscale structure, and the nanoscale chemical environment of such GB microstructures, but systematic studies are unavailable.</div><div>We aim to advance the limited understanding of the onset of GB cracking in the Ni-based superalloy René 41 by investigating these three mechanisms for GB cracking. In-situ tensile testing reveals a sequence of slip band formation, interface decohesion and the onset of GB cracking. Crystal plasticity finite element modeling shows no direct correlation between equivalent strains and stresses and GB cracking susceptibility. No local nanoscale phase transformations and/or formation of defect structures are detected across interfaces between the γ-matrix and GB-M<sub>2</sub>B, M<sub>6</sub>C, or M<sub>23</sub>C<sub>6</sub>. Atom probe microscopy reveals a correlation between low interfacial excess of B and Mo and severe decohesion at γ-matrix / GB-M<sub>2</sub>B interfaces. In contrast, GB microstructures with GB-γ’ encapsulating GB-M<sub>2</sub>B preserve a high interfacial excess of B and, thus, GB cohesion. A microstructural model summarizes the GB microstructure – property relationship applicable to various similar Ni-based superalloys.</div></div>","PeriodicalId":383,"journal":{"name":"Materials & Design","volume":"256 ","pages":"Article 114283"},"PeriodicalIF":7.6,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two-dimensional Ni/C nanosheets derived from metal-organic frameworks for enhanced oxygen evolution reaction 基于金属有机骨架的二维Ni/C纳米片增强析氧反应

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-21 DOI: 10.1016/j.matlet.2025.138969

Chengwei Kuang , Fenglin Wang , Dan Wu , Hao Wan , Xiaohe Liu

引用次数: 0

High-performance PVDF/Sepiolite composite separator for Li-ion batteries 用于锂离子电池的高性能PVDF/海泡石复合分离器

IF 3.9 3区材料科学

Materials Science and Engineering: B Pub Date : 2025-06-21 DOI: 10.1016/j.mseb.2025.118517

Xianghui Ding , Yifan Zhang , Quan Pei , Yiting Tong , Jiafeng Zhai , Changxing Zhao , Yun Ou , Jing Chen , Shuhong Xie

{"title":"High-performance PVDF/Sepiolite composite separator for Li-ion batteries","authors":"Xianghui Ding , Yifan Zhang , Quan Pei , Yiting Tong , Jiafeng Zhai , Changxing Zhao , Yun Ou , Jing Chen , Shuhong Xie","doi":"10.1016/j.mseb.2025.118517","DOIUrl":"10.1016/j.mseb.2025.118517","url":null,"abstract":"<div><div>PVDF has a relatively high polarity leading to better affinity with electrolyte, and its relatively high dielectric constant promotes the dissociation of lithium ions. Sepiolite has a unique fibrous morphology, forming a rich pore structure, which can enhance the specific surface area and thermal stability of separators. In this work, the PVDF/sepiolite composite separator is prepared by electrospinning technology. Benefiting from the high polarity and dielectric constant of PVDF and the special structure of sepiolite, the composite separator reveals excellent electrolyte adsorption and electrochemical performance. It shows a high ionic conductivity (3.04 × 10<sup>-3</sup> S·cm<sup>−1</sup>) and a high lithium-ion transference number (<span><math><mrow><msub><mtext>t</mtext><msup><mrow><mtext>L</mtext><mtext>i</mtext></mrow><mrow><mo>+</mo><mspace></mspace></mrow></msup></msub></mrow></math></span> = 0.781), With excellent rate capacity (110mAh g<sup>−1</sup> even at 5C) and cycle performance (∼165mAh g<sup>−1</sup> after 250 cycles at 0.5C with a capacity retention of 99 %). The thermal stability and electrochemical performance of the composite separator is enhanced by adding appropriate amount of sepiolite.</div></div>","PeriodicalId":18233,"journal":{"name":"Materials Science and Engineering: B","volume":"321 ","pages":"Article 118517"},"PeriodicalIF":3.9,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335689","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}

引用次数: 0

Subgroup Discovery Similarity Score (SDSS): A Significant Criterion for the Integration of Statistical Knowledge into Machine Learning in Materials Science 子组发现相似度评分（SDSS）：将统计知识整合到材料科学机器学习中的重要标准

IF 11.5 2区材料科学

Materials Today Physics Pub Date : 2025-06-21 DOI: 10.1016/j.mtphys.2025.101772

Huiran Zhang, Mengmeng Dai, Yudian Lin, Baoyu Xu, Pin Wu, Lei Huang, Huanyu Xu, Shengzhou Li, Yan Xu, Zheng Tang, Jincang Zhang, Renchao Che, Tao Xu, Dongbo Dai

{"title":"Subgroup Discovery Similarity Score (SDSS): A Significant Criterion for the Integration of Statistical Knowledge into Machine Learning in Materials Science","authors":"Huiran Zhang, Mengmeng Dai, Yudian Lin, Baoyu Xu, Pin Wu, Lei Huang, Huanyu Xu, Shengzhou Li, Yan Xu, Zheng Tang, Jincang Zhang, Renchao Che, Tao Xu, Dongbo Dai","doi":"10.1016/j.mtphys.2025.101772","DOIUrl":"https://doi.org/10.1016/j.mtphys.2025.101772","url":null,"abstract":"In materials science research, knowledge and machine learning (ML) have a mutually reinforcing relationship. In efforts to improve the ability of learning material datasets, researchers obtain statistical knowledge from ML models and integrate it into subsequent ML models in different ways. However, determining the most suitable method for integrating statistical knowledge into the next stage remains challenging. This limits the precise application of knowledge-driven approaches. In this work, the Subgroup Discovery Similarity Score (SDSS) is proposed as a key criterion for integrating statistical knowledge into ML models. Statistical knowledge is extracted from material datasets by subgroup discovery. In the solid solution strengthening (<span><span style=\"\"></span><span data-mathml='<math xmlns=\"http://www.w3.org/1998/Math/MathML\" />' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"0.24ex\" role=\"img\" style=\"vertical-align: -0.12ex;\" viewbox=\"0 -51.7 0 103.4\" width=\"0\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"></math></span></span><script type=\"math/mml\"><math></math></script></span>) dataset, a divide-and-conquer strategy achieves a correlation coefficient of 0.96 and a MAPE of 18.44%, and reveals distinct strengthening mechanisms for the face-centered cubic (FCC) and body-centered cubic (BCC) phases. In the piezoelectric coefficients (<span><span style=\"\"></span><span data-mathml='<math xmlns=\"http://www.w3.org/1998/Math/MathML\" />' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"0.24ex\" role=\"img\" style=\"vertical-align: -0.12ex;\" viewbox=\"0 -51.7 0 103.4\" width=\"0\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"></math></span></span><script type=\"math/mml\"><math></math></script></span>) dataset, statistical knowledge is encoded as features and embedded into the ML model for feature enhancement, effectively reducing the prediction error. The results suggest that our framework can extract and integrate statistical knowledge from material datasets into ML models without prior domain knowledge.","PeriodicalId":18253,"journal":{"name":"Materials Today Physics","volume":"14 1","pages":""},"PeriodicalIF":11.5,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

材料科学最新文献