Materials Letters最新文献_第5页

Synergistic electronic modulation at Ru-Co bimetallic interfaces for high-efficiency hydrogen evolution reaction Ru-Co双金属界面协同电子调制高效析氢反应

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138918

Rongfang Li , Xun Feng , Qianqian Tang , Peng Li , Yuebin Xi

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Preparation of sodium allylsulfonate-starch based superabsorbent hydrogel with gamma ray irradiation method and its properties 射线辐照法制备烯丙基磺酸钠淀粉基高吸水性凝胶及其性能研究

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138921

Xiaoshan Zhou , Lin Lin , Fangzheng Wang , Yongan Ke , Chunlei Wang , Yaqiong Huang , Linfan Li , Jihao Li

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Multi-pass scratch properties of titanium and vanadium-doped diamond-like carbon coatings applied on commercially pure titanium under different tribological environments: Dry, bio-aqueous, and lubricated conditions 不同摩擦学环境：干燥、生物水和润滑条件下，钛和掺钒类金刚石涂层在商业纯钛上的多道划痕性能

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138913

H. Tekdir, A.F. Yetim

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A hybrid carbonation system for enhancing recycled aggregate performance through particle size and spatial distribution 混合碳化系统通过粒度和空间分布来提高再生骨料的性能

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138914

Amardeep Singh , Shengbo Cheng , Rahul Sharma , Qiong Liu , Shujin Li , Dianchao Wang

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Enhanced corrosion inhibition of mild steel in concrete pore solution using modified mgo-chitosan epoxy nanocomposite coatings 改性镁壳聚糖环氧纳米复合涂层增强低碳钢在混凝土孔隙溶液中的缓蚀性能

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138916

V.S. Suhas , T. Shanmugapriya , Ruben Paul Borg , K. Akash , Anaswara Sunil

{"title":"Enhanced corrosion inhibition of mild steel in concrete pore solution using modified mgo-chitosan epoxy nanocomposite coatings","authors":"V.S. Suhas , T. Shanmugapriya , Ruben Paul Borg , K. Akash , Anaswara Sunil","doi":"10.1016/j.matlet.2025.138916","DOIUrl":"10.1016/j.matlet.2025.138916","url":null,"abstract":"<div><div>In this study, epoxy-based coatings (pure epoxy, MgO-modified, chitosan-modified, and MgO-chitosan nanocomposite) were applied to polished mild steel in a simulated concrete pore solution. The coatings were formulated by dispersing MgO nanoparticles and chitosan into an epoxy resin, homogenised by stirring, applied via the glass slide method, and cured. Electrochemical analysis (open-circuit potential, Nyquist, and Tafel plots) demonstrated the superior performance of the nanocomposite, which exhibited the highest charge-transfer resistance and lowest corrosion current density (I<sub>corr</sub> = 2.076 × 10 − 4). Weight loss tests confirmed a 93.53 % inhibition efficiency, outperforming the uncoated steel and single-additive systems. FESEM morphological analysis revealed a uniform, porous nanocomposite structure with well-dispersed nanoparticles and minimal post-exposure cracking, in contrast to the severe pitting observed in the uncoated specimens. Elemental mapping confirmed MgO-chitosan integration and limited chloride penetration. The synergy between MgO and chitosan validates this hybrid organic–inorganic coating as an effective corrosion mitigation strategy for steel in chloride based alkaline concrete environments.</div></div>","PeriodicalId":384,"journal":{"name":"Materials Letters","volume":"398 ","pages":"Article 138916"},"PeriodicalIF":2.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Optimization of ZrB2 content in CoCrNiFeAl high-entropy alloy coatings: experimental and simulation study of microstructure and wear resistance CoCrNiFeAl高熵合金涂层中ZrB2含量的优化：显微组织与耐磨性的实验与模拟研究

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138925

Yuzhen Yu, Xinlei Zhou, Xi Wang, Weikang Ding

{"title":"Optimization of ZrB2 content in CoCrNiFeAl high-entropy alloy coatings: experimental and simulation study of microstructure and wear resistance","authors":"Yuzhen Yu, Xinlei Zhou, Xi Wang, Weikang Ding","doi":"10.1016/j.matlet.2025.138925","DOIUrl":"10.1016/j.matlet.2025.138925","url":null,"abstract":"<div><div>CoCrNiFeAl high-entropy alloy (HEA) composite coatings with various ZrB<sub>2</sub> contents (10 wt%, 20 wt%, and 30 wt%) were fabricated on 316 stainless steel substrates using additive manufacturing. The effects of ceramic phase content on the phase composition, grain size, hardness, and tribological behavior of the coatings were systematically investigated. XRD, EBSD, and SEM characterizations revealed that ZrB<sub>2</sub> addition promoted the FCC-to-BCC phase transition and significantly refined the grain structure. Tribological tests showed that the 20 wt% ZrB<sub>2</sub> coating had the most stable coefficient of friction and the highest wear resistance. However, excessive ZrB<sub>2</sub> (30 wt%) content resulted in ceramic particle agglomeration, localized stress concentrations, and interfacial degradation. Finite element modeling using the Digimat/ANSYS platform confirmed the stress amplification effect in agglomerated regions. Overall, according to observed mechanical properties, 20 wt% ZrB<sub>2</sub> content was identified as the optimal reinforcement level for this system.</div></div>","PeriodicalId":384,"journal":{"name":"Materials Letters","volume":"398 ","pages":"Article 138925"},"PeriodicalIF":2.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Synthesis and characterization for structural and optical properties of FASnI2Br for perovskite solar cell applications 钙钛矿太阳能电池用FASnI2Br的合成及结构和光学性能表征

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138919

Rohn Odhiambo Cephas , Duke Ateyh Oeba , Jared Ombiro Gwaro

引用次数: 0

Advancements in metal oxide-based innovative nanomaterials for biomedical applications: Challenges and future outlook 生物医学应用金属氧化物基创新纳米材料的进展：挑战与未来展望

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138912

Khushboo Gupta , Sunil Chauhan , Dharm Veer Singh , V.E.A. Montaño , O.P. Thakur , Santosh Kumar , Rajesh Dhiman , O.Raymond Herrera , Manish Kumar , Subhash Sharma

{"title":"Advancements in metal oxide-based innovative nanomaterials for biomedical applications: Challenges and future outlook","authors":"Khushboo Gupta , Sunil Chauhan , Dharm Veer Singh , V.E.A. Montaño , O.P. Thakur , Santosh Kumar , Rajesh Dhiman , O.Raymond Herrera , Manish Kumar , Subhash Sharma","doi":"10.1016/j.matlet.2025.138912","DOIUrl":"10.1016/j.matlet.2025.138912","url":null,"abstract":"<div><div>Numerous researchers have been interested in nanomaterials due to their small size, great stability, affinity, and selectivity. Numerous metal and metal-oxide nanomaterials (MONMs) have been the subject of extensive, intensive research over the past few decades due to their important characteristics, which include size, shape, surface mass proportion, and reactivity. Antimicrobial therapy, targeted drug delivery, magnetic resonance imaging (MRI), and cancer treatment are just a few of the areas in which the nanoparticles (NPs) are being used. MONMs can fight against antibiotic-resistant bacteria by disrupting cell walls, offering controlled drug delivery to targeted tissues, enhancing MRI contrast for better disease diagnosis, and delivering chemotherapy directly to tumors/cancer, minimizing side effects. Despite challenges related to toxicity and stability, MONMs in improving medical treatments make these NPs a game-changing solution for tackling critical issues like antibiotic resistance and enhancing diagnostic and therapeutic efficacy in modern healthcare.</div></div>","PeriodicalId":384,"journal":{"name":"Materials Letters","volume":"398 ","pages":"Article 138912"},"PeriodicalIF":2.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

DFT investigation of NH3 trapping and sensing by metal-decorated SnC nanosheets 金属修饰SnC纳米片对NH3捕获和传感的DFT研究

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138924

Kevin J. García-Caraveo , Ángel R. Montoya-García , Lucia G. Arellano , Álvaro Miranda , Luis A. Pérez , Miguel Cruz-Irisson

引用次数: 0

State-of-charge estimation and prediction by machine learning models using experimental dataset of lithium-ion batteries based on ionic liquid modified LiFSI electrolyte 基于离子液体改性LiFSI电解质锂离子电池实验数据集的机器学习模型的充电状态估计与预测

IF 2.7 4区材料科学

Materials Letters Pub Date : 2025-06-11 DOI: 10.1016/j.matlet.2025.138923

M.Thien Phung , Farjana Rahman , Chong Yeal Kim , M. Shaheer Akhtar , O-Bong Yang

{"title":"State-of-charge estimation and prediction by machine learning models using experimental dataset of lithium-ion batteries based on ionic liquid modified LiFSI electrolyte","authors":"M.Thien Phung , Farjana Rahman , Chong Yeal Kim , M. Shaheer Akhtar , O-Bong Yang","doi":"10.1016/j.matlet.2025.138923","DOIUrl":"10.1016/j.matlet.2025.138923","url":null,"abstract":"<div><div>Accurate state-of-charge (SOC) estimation and prediction in Lithium-ion battery (LIBs) remains a critical issue due to nonlinear battery behavior and environmental fluctuations. This work explains the development of Machine learning (Support vector machines, Decision tree, Gradient boosting) models to estimate and predict accurate SOC of LIBs wherein the experimental data was used from LIBs with LiFSI and pyridinium-based ionic liquid electrolytes. To achieve the optimal model performance, key hyperparameters were tuned using max_features_input, max_depth of models, max_split_data, etc. Feature importance revealed that discharge capacity was the most influential feature, confirming the model’s reliability. Optimized Decision tree model attained an exceptional SOC accuracy with low Root mean square error (RMSE) = 0.001298, Mean square error (MSE) = 0.00000168, and R<sup>2</sup> = 0.999948 in 0.301193 s for experimental data. These findings demonstrate the potential of machine learning approach to enhance SOC estimation and the longevity, safety, and capacity of LIBs.</div></div>","PeriodicalId":384,"journal":{"name":"Materials Letters","volume":"398 ","pages":"Article 138923"},"PeriodicalIF":2.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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