Nanoscale Research Letters最新文献

{"title":"Environmental implications of perovskite materials with a comprehensive review on fundamentals, synthesis, characterization, and applications","authors":"Mohammad Khalid,&nbsp;Tenzin Thinley,&nbsp;Harini Revanna,&nbsp;Ahmed I. Foudah,&nbsp;Mohammed H. Alqarni,&nbsp;Harikaranahalli Puttaiah Shivaraju","doi":"10.1186/s11671-026-04968-x","DOIUrl":"10.1186/s11671-026-04968-x","url":null,"abstract":"<div><p>The evolution of the industrial revolution laced the foundation for an era of abundance, which has led to significant environmental challenges we face today. To compensate or reverse the damage we have shifted the focus toward sustainable development, for which nanoparticles play a crucial part, specifically perovskites. Perovskites emerged as a pivotal material in recent years for their remarkable optoelectronic properties and versatile applications in photovoltaics, light-emitting diodes, and sensors. This versatility is credited to the slight structural flexibility arising from the ionic interaction and defects providing numerous degrees of possible tilting in the octahedral site that influences the band structure, electron-hole transport characteristic and other optoelectrical properties. This comprehensive review explores the environmental implications of perovskite materials, emphasizing their fundamental properties, synthesis methods, characterization techniques, and diverse applications. We begin by elucidating the fundamental structure and properties of perovskites, which underpin their functionality. Various synthesis routes, including various solution-based methods and approaches are discussed with a focus on their environmental impact. Advanced characterization techniques are presented to understand the structural, optical, and electronic properties of perovskites, which are crucial for optimizing their performance in different applications. The review highlights the environmental benefits and potential risks associated with the widespread use of perovskite materials. These issues are discussed and key research directions and innovations required to further the impact of perovskite materials to harness their full potential.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-04968-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HER2-targeted multifunctional gold nanorods for imaging-guided combined chemotherapy and photothermal therapy","authors":"Sun-Mi Lee,&nbsp;Huiyul Park,&nbsp;Jieun Han,&nbsp;Yong-Beom Park,&nbsp;Kyung-Hwa Yoo","doi":"10.1186/s11671-026-05059-7","DOIUrl":"10.1186/s11671-026-05059-7","url":null,"abstract":"<div><p>Conventional chemotherapy remains limited by nonspecific biodistribution, dose-limiting systemic toxicity, and poor control over drug delivery at tumor sites. To address these challenges, we developed a multifunctional nanoplatform based on doxorubicin (DOX)-conjugated gold nanorods (GNRs) functionalized with Herceptin (HER), an anti-HER2 antibody, to promote HER-associated tumor accumulation and chemo-photothermal therapy. Carboxylated poly(ethylene glycol)-modified GNRs were sequentially conjugated with DOX and HER via protein G to generate HER-DOX-PEG-GNRs. Surface-charge changes, ultraviolet-visible/near-infrared (UV-vis/NIR) spectroscopy, Fourier-transform infrared (FT-IR) analysis, and quantitative measurements of DOX and HER content supported stepwise surface functionalization. HER-DOX-PEG-GNRs retained strong NIR absorption near 805 nm and generated localized heat upon NIR irradiation. In HER2-overexpressing SK-BR-3 cells and xenografts, HER functionalization was associated with greater cellular uptake and tumor accumulation than non-targeted controls; however, because HER2-negative controls and receptor-blocking experiments were not performed, these findings are interpreted as HER-associated rather than definitive receptor-specific targeting. HER-DOX-PEG-GNRs exhibited greater apparent DOX-associated release at pH 6.8 than at pH 7.4. In SK-BR-3 xenograft-bearing mice, HER-DOX-PEG-GNRs combined with NIR irradiation produced marked tumor regression, with no measurable regrowth detected during the 28-day observation period. Histological analysis showed reduced PCNA staining and increased TUNEL-positive staining, consistent with reduced proliferative activity and increased treatment-associated DNA fragmentation/cell death. Zebrafish embryo testing and 28-day mouse observations, including body weight, major-organ histology, and hematological and serum biochemical parameters, revealed no obvious short-term treatment-associated toxicity under the tested conditions. Collectively, these findings support the feasibility of integrating NIR imaging, localized photothermal heating, HER-associated tumor accumulation, and pH-facilitated DOX release within a single GNR-based platform, while further receptor-specific targeting studies, quantitative synergy analyses, and longer-term safety evaluation remain warranted.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-05059-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal analysis of ternary hybrid nanofluids for advanced cooling of AI chips and data centers using dual numerical techniques","authors":"A. O. Akindele,&nbsp;A. W. Ogunsola,&nbsp;O. A. Oladapo,&nbsp;A. D. Ohaegbue","doi":"10.1186/s11671-026-05051-1","DOIUrl":"10.1186/s11671-026-05051-1","url":null,"abstract":"<div><p>The problem of controlling the massive heat produced by high-performance AI processors has become more difficult due to the quick development of artificial intelligence (AI) and the exponential expansion of data centers. In addition to reducing processing efficiency, excessive heat endangers system dependability and energy sustainability. To mitigate this challenge, the present study investigates the application of ternary hybrid nanofluids (Tri-HNF: Al₂O₃–CuO–GNP/EG) as advanced coolants, comparing their performance with binary hybrid nanofluids (Di-HNF: Al₂O₃–CuO/EG) and mono nanofluids (NF: Al₂O₃/EG) in enhancing thermal regulation over a flat surface. The Collocation Chebyshev Method (CCM) and the Galerkin-weighted residual Method (GWRM), two separate numerical techniques included in Mathematica 11.3, were used to convert the governing nonlinear partial differential equations (PDEs) to ordinary differential equations (ODEs) and solve them numerically. The excellent agreement between the two methods demonstrates the consistency and accuracy of the numerical schemes. The effects of magnetic field, viscosity, suction, radiation, and heat generating factors on the flow and temperature fields were revealed using parametric experiments. Findings show that the Tri-HNF exhibits superior thermal performance due to the synergistic effects of Al₂O₃ (enhanced stability), CuO (excellent thermal conductivity), and graphene nanoplatelets (GNP) (exceptional heat transport efficiency). Compared to Di-HNF and NF, the Tri-HNF achieves higher Nusselt numbers, improved heat dispersion, and lower thermal resistance. In summary, this work demonstrates that Tri-HNF provide an efficient and reliable solution for cooling AI chips, microelectronics, and data centers, offering a pathway toward sustainable and thermally stable next-generation computing systems.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-05051-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stability and heat transfer of mhd eyring powell tri hybrid nanofluid flow over a permeable shrinking cylinder","authors":"Abdul Rahman Mohd Kasim,&nbsp;Puteri Ereena Shafira Mustafa,&nbsp;Ahlam Aljabali,&nbsp;Nurul Amira Zainal,&nbsp;Adeshina Taofeeq Adeosun,&nbsp;Noor Amalina Nisa Ariffin,&nbsp;Yusuf Olatunji Tijani","doi":"10.1186/s11671-026-05053-z","DOIUrl":"10.1186/s11671-026-05053-z","url":null,"abstract":"<div><p>Boundary layer flow over a moving and curved surface is very important in modern industrial processes like steel extrusion, polymer lamination, and advanced cooling technologies, where heat moves affects how efficient and high-quality the products are. This study investigates the dual solutions and temporal stability of Eyring–Powell tri-hybrid nanofluid flow and heat transfer over a permeable shrinking cylinder under an applied magnetic field and Joule heating. The tri-hybrid nanofluid consists of copper, aluminum oxide, and titanium dioxide nanoparticles suspended in water. The governing continuity, momentum, and energy equations are formulated under the boundary-layer approximation and transformed into a nonlinear system of ordinary differential equations using similarity transformations. The resulting boundary-value problem is solved numerically using MATLAB’s bvp4c solver, while the temporal stability of the dual solutions is determined through an eigenvalue analysis. The numerical formulation is validated against published studies, with good agreement obtained for the limiting cases. The solution exhibits duality over a finite range of shrinking parameters, with the solutions merging at the critical value <span>({varepsilon _c}= - 5.079891)</span>. The upper branch possesses positive smallest eigenvalues and is therefore temporally stable, whereas the lower branch is unstable. Increasing the Eckert number reduces the heat-transfer rate, while increasing the curvature parameter slightly extends the range of dual solutions. Suction enhances flow stability and heat transfer. The results demonstrate that the combined effects of non-Newtonian rheology, tri-hybrid nanoparticles, magnetic forces, Joule heating, and cylindrical curvature provide useful control of boundary-layer transport and stability in thermal-fluid systems.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-05053-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Graphene-based nanomaterials in biosensing: current advances, challenges, and future directions for precision diagnostics","authors":"Hamza Rafeeq,&nbsp;Abdul Maajid Khokhar,&nbsp;Rida Siddique,&nbsp;Muhammad Anjum Zia,&nbsp;Muhammad Naeem,&nbsp;Huanhuan Chen","doi":"10.1186/s11671-026-05057-9","DOIUrl":"10.1186/s11671-026-05057-9","url":null,"abstract":"<div><h3>Background</h3><p>Graphene-based nanomaterials (GBNs), including graphene oxide, reduced graphene oxide, graphene quantum dots, and their composites, combine ultra-high surface area, superior conductivity, and tunable optical properties, making them powerful materials for ultra-sensitive biosensing.</p><h3>Aim and Scope</h3><p>Unlike earlier descriptive, platform-specific surveys, this review is organised around structure–property–performance relationships and applies a uniform critical lens to the primary literature.</p><h3>Methods</h3><p>We examine optical (fluorescence, surface plasmon resonance, colorimetric, SERS), electrochemical, and field-effect transistor (FET) biosensors. We compare them head-to-head on sensitivity, reproducibility, scalability, and clinical readiness.</p><h3>Key Findings</h3><p>GBN platforms detect pathogens such as SARS-CoV-2, cancer biomarkers, metabolites, and environmental toxins with high sensitivity and selectivity. However, many reported ultra-low detection limits are extrapolated from buffer calibrations rather than measured, and they are rarely validated in blinded clinical cohorts. Some are also physically implausible given the number of target molecules in the assay volume.</p><h3>Challenges</h3><p>Key barriers are cytotoxicity, non-specific binding, irreproducible synthesis, and regulatory validation. For FETs specifically, the main obstacles are Debye screening, baseline drift, and poor wafer-scale yield.</p><h3>Conclusions</h3><p>AI-assisted signal processing, wearable and implantable devices, and 3D-printed multi-analyte lab-on-a-chip systems are critical future directions. Addressing these challenges through interdisciplinary effort could make GBN biosensors a foundation for personalized, point-of-care healthcare. </p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-05057-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal convective and flow dynamics of blood trihybrid nanofluid inside a stenosis artery for cardiovascular disease treatment using artificial intelligence approach","authors":"Brahim Mrabet,&nbsp;Joffin J Ponnore,&nbsp;Rumla Jawo,&nbsp;Yakup Yildirim","doi":"10.1186/s11671-026-05019-1","DOIUrl":"10.1186/s11671-026-05019-1","url":null,"abstract":"<div><p>This article briefly discusses the influence of heat radiation and heat source on the convective flow of a blood-based trihybrid nanofluid inside a stenotic artery with chemical reaction. It can assist in investigating and predicting blood flow dynamics and heat transmission in constricted arteries for thermal therapy, targeted drug delivery, and cardiovascular disease treatment. By replicating the intricate interactions of many nanoparticles with blood, the model also aids in the design and optimization of biomedical devices like stents and artificial organs. The AI technique also makes it possible to make quick, precise, and patient-specific predictions, which helps doctors plan treatments and enhances the efficacy of cardiovascular procedures. The artificial intelligent neural network (AINN) is one sophisticated machine learning approach. The difficulty led to the system of PDEs (partial differential equations), which are transformed into ODEs (ordinary differential equations) via dimensionless similarity. The dataset was filtered using the Bvp4c method before being incorporated into the Bayesian-regularization algorithm (BRA). Regression-based statistical analysis, error histograms, absolute error, and MSE (mean squared error) are used to measure the determination, verification, convergence, and stability of Bayesian-regularized neural network mappings for this hybrid model. The thermal field increases as upsurge the values of thermal Biot number.</p><p>Clinical trial: This study is not a clinical trial.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-05019-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A bibliometric analysis of global research trends in tumor microenvironment based nanotherapy","authors":"Beibei Wu,&nbsp;Rui Li,&nbsp;Yufei Yang,&nbsp;Mengmeng Wang,&nbsp;Jian Liu,&nbsp;Liang Guan,&nbsp;Jiaxi Liu,&nbsp;Chunhui Ning,&nbsp;Yuying Xu","doi":"10.1186/s11671-026-04990-z","DOIUrl":"10.1186/s11671-026-04990-z","url":null,"abstract":"<div><h3>Background</h3><p>The tumor microenvironment (TME) is a key factor in cancer progression and drug resistance. Nanomedicine provides a new solution to overcome the limitations of traditional therapies by regulating the TME. With the rapid growth of interdisciplinary research in this field, although there are many descriptive reviews, there is still a lack of a quantitative analysis of long-term research results.</p><h3>Methods</h3><p>Literature from the Web of Science database was analyzed to reveal the knowledge structure, the evolution of core concepts, and the future research frontier in this field using VOSviewer, CiteSpace, R-bibliometrix, and R packages.</p><h3>Results</h3><p>Analysis shows that the number of relevant publications has grown rapidly since 2020, and China and the Chinese Academy of Sciences have made outstanding contributions. The dynamic evolution of Subject Categories and Research Themes clarifies the development trajectory of this field from the basic drug delivery theme to the regulation of the complex TME. Keyword co-occurrence analysis identifies core knowledge areas such as ROS-based therapies, metabolic control, immune microenvironment remodeling, and drug delivery. The analysis of cited references and highly cited literature reveals the knowledge base and milestone research that drive the development of this field. The current research frontier and hot spots focus on reshaping the immune microenvironment, novel regulated cell death mechanisms, ROS-based therapies, tumor metabolic reprogramming, combination therapies, and biomimetic/theranostic platforms.</p><h3>Conclusions</h3><p>This study reveals the paradigm shift in nanomaterials from passive delivery carriers to multifunctional, bioactive regulators of the TME. Through quantitative analysis, the future development direction of multi-target synergistic intervention is clarified, which provides an important reference for the follow-up research on personalized tumor treatment.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-04990-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149235130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Growth structure property relationships and multifunctional applications of zinc oxide nanorods","authors":"Salahuddin Sourav,&nbsp;Azlan Abdul Aziz,&nbsp;Mohammed Ali Dheyab,&nbsp;Abinash Patra,&nbsp;Harinarayan Das,&nbsp;Shamsun Alam","doi":"10.1186/s11671-026-05017-3","DOIUrl":"10.1186/s11671-026-05017-3","url":null,"abstract":"<div><p>ZnO nanorods (ZnO NRs) are some of the most significant one-dimensional oxide nanostructures because they have a broad direct band gap, a high exciton binding energy, are chemically stable, have a massive surface area, and are piezoelectric. These qualities make them extremely useful for devices that use light, sensors, photo-catalysts, solar cells, field emission, and self-powered devices. This paper critically evaluates current advancements in the synthesis, characteristics, and uses of ZnO NRs, focusing on the influence of growth methodology on morphology, crystallinity, defect architecture, alignment, and device efficacy. We compare different synthesis methods, such as microwave-assisted growth, thermal evaporation, sonochemical synthesis, metal-organic chemical vapor deposition, vapor-liquid-solid growth, hydrothermal processing, and chemical bath deposition. We look at things like growth temperature, substrate compatibility, catalyst requirements, scalability, defect control, and whether they are beneficial for aligned architectures. The study also links these synthesis-dependent traits to the optical, electrical, and surface characteristics that light emitters, photo-detectors, photovoltaic devices, photo-catalysts, field-effect transistors, sensors, field emitters, and piezoelectric nano generators need. It ends by outlining the primary problems that make it costly to put into practice, such as controlling defects, making devices that work consistently, and needing standardized synthesis-structure-property-performance linkages.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-05017-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of copper and tin disulfide based surface plasmon resonance for the detection of brain tumor tissues","authors":"Rajeev Kumar,&nbsp;Biswajit Brahma,&nbsp;Lalit Garia,&nbsp;Manoj kumar,&nbsp;Akash Kumar Bhoi","doi":"10.1186/s11671-026-04899-7","DOIUrl":"10.1186/s11671-026-04899-7","url":null,"abstract":"<div><p>In this study, a surface plasmon resonance (SPR) sensor, including SF5 prism, copper (Cu), Tin Disulfide (SnS₂), Molybdenum Ditelluride (MoTe₂), and sensing medium (SM) layers, was designed for the detection of brain lesions. With the remarkable sensitivity of 142.15°/RIU found at 33 nm of Cu, 8 nm of SnS₂, a monolayer of MoTe_2, and refractive index (RI) of SM 1.33–1.50. To obtain the sensitivity of the proposed sensor, different brain lesions, including cerebrospinal fluid (CSF), gray matter, oligodendroglioma, low-grade glioma, lymphoma, and metastasis, were used as SM, while the thickness of the Cu layer was varied from 25 to 60 nm. A sharp SPR dip with a minimum reflectance (R_min) of 3.9 × 10⁻⁷ a.u. was obtained at a thickness of 33 nm, which also yielded the highest sensitivity (S = 136.47°/RIU) and figure of merit (FoM = 15.01/RIU). The low full width at half maximum (FWHM) at this thickness and the SPR angle shift (Δθ_res) further confirmed the improved detection capability of the sensor. According to these results, the proposed SPR sensor is very useful for detecting brain abnormalities in real time and without labels.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-04899-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MHD analysis of tangent hyperbolic micropolar fluid flow over a permeable stretching surface","authors":"Khan Mohsin,&nbsp;M. N. Abrar,&nbsp;Amra Al Kenany,&nbsp;Meshal Shutaywi","doi":"10.1186/s11671-026-04964-1","DOIUrl":"10.1186/s11671-026-04964-1","url":null,"abstract":"<div><p>This investigation analyzes the effects of micropolar tangent hyperbolic hybrid nanofluid flow over a porous stretching sheet. Additionally, the influences of magnetohydrodynamics and heat source/sink effects are also considered into the analysis. The angular momentum equation is employed to examine the micro-rotation characteristics of the fluid flowing, whereas the enhancement in heat transport performance is evaluated through the inclusion of hybrid nanoparticles. These equations are subsequently reduced to a system of ordinary differential equations using suitable similarity transformations. The resulting nonlinear system is solved numerically using the Runge-Kutta-Fehlberg 45 (RKF-45) method in conjunction with a shooting technique. The effects of relevant physical parameters are illustrated through graphical representations, highlighting their physical significance. Graphical representations depict the physical significance of relevant parameters. Validation of numerical results is performed by comparing them with previously published data. The main conclusions of the study are as follows: (1) a gradual reduction in fluid velocity is observed with an increase in Weissenberg number <span>(:(We=0.0,:0.5,:1.0))</span>, and permeability parameter<span>(::(K=0.0,:0.4,:0.8))</span>, while the surface condition parameter is fixed at <span>(:n:=:0.5)</span>, (2) the skin friction coefficient shows a pronounced decrease as the permeability parameter increases <span>(:(K=0.0,:0.5,:1.0))</span>, (3) the wall couple stress exhibits an increasing trend with rising values of the micro-rotation parameter <span>(:({Psi:}=0.0,:2.0,:4.0))</span>. Owing to the unique rheological behavior, tangent hyperbolic fluids are widely applicable in engineering and biomedical systems, where they facilitate controlled transport in food processing, polymer technology, oil recovery, and blood flow analysis.</p></div>","PeriodicalId":51136,"journal":{"name":"Nanoscale Research Letters","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s11671-026-04964-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149234807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}