Hybrid Advances最新文献

{"title":"Effect of moisture absorption on the mechanical behavior of banana-bamboo-glass fiber reinforced hybrid composites in NaCl solution","authors":"Farhana Akter Mim","doi":"10.1016/j.hybadv.2025.100451","DOIUrl":"10.1016/j.hybadv.2025.100451","url":null,"abstract":"<div><div>Moisture absorption is a major challenge for natural fiber-reinforced composites, often leading to reduced mechanical strength and limited durability in humid environments. This study examines the impact of water exposure on the mechanical and moisture absorption behavior of banana (Ba)–bamboo (B)–glass fiber (G) hybrid composites. The G-B-B-B-G composite exhibited significant moisture sensitivity despite superior mechanical properties, with 3.83 % thickness swelling, resulting in a 12.06 % reduction in tensile strength and a 35.51 % drop in flexural strength after moisture exposure. In comparison, the G-B-Ba-B-G composite demonstrated higher moisture resistance, with only 2.13 % swelling and retention of 90.97 % tensile and 67.32 % flexural strength. Following the immersion, SEM analysis revealed that fiber swelling and void formation were the primary causes of mechanical degradation in the G-B-B-B-G composite, while the incorporation of banana fiber in G-B-Ba-B-G mitigated these effects. These findings highlight the critical role of fiber composition, sequencing, and orientation in enhancing moisture resistance, underscoring their suitability for marine, automotive, and construction applications.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100451"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of bio-filler on various properties of glass fiber reinforced epoxy composites","authors":"Md. Mahfuz Kabir,&nbsp;Rubiat Mustak ,&nbsp;Md. Moinul Hasan Sadik","doi":"10.1016/j.hybadv.2025.100448","DOIUrl":"10.1016/j.hybadv.2025.100448","url":null,"abstract":"<div><div>Every year almost 130 kg billion of animal bone are produced all over the world. Most of these bones are treated as slaughterhouse waste and directly exposed to landfills and open environments which causes environmental degradation. This study aims to find out mechanical properties (Tensile, Flexural, and Impact) by varying the bio-filler of epoxy-based composites reinforced by glass fiber. Cow bone (CB) powder is used as a bio filler in this research. The major findings of this study are how cow bone powder effects the mechanical properties of glass fiber reinforced epoxy composites and which amount cow bone powder filler shows good result. From this work, it is observed that the mechanical properties of fabricated composites are improved by adding certain cow bone powder as a filler. It is seen from the result that mechanical properties including tensile and impact properties are improved by adding cow bone powder initially except for flexural strength. After a certain amount of CB percentage, properties begin to fall. The probable reasons for the decrease in mechanical properties are agglomeration, improper particle distribution, and an increase in void percentage as an excess amount of filler absorbs most of the resin than the fiber. The best result was obtained for a 0.5 % CB filled sample. Tensile strength, tensile modulus, elongation at break, and toughness were increased by 31.15 %, 19.32 %, 4.24 %, and 16.68 % than the base sample. Incorporation of cow bone powder increased flexural properties including energy absorption, and stiffness. 0.5 % CB filled sample showed the best result among the five samples in these two properties. In case of flexural strength, incorporation of cow bone powder filler had an adverse effect and flexural strength was gradually decreased by increasing the cow bone powder amount. Maximum flexural strength is shown by base sample and there is a decrease of 5.56 % of flexural strength by 0.5 % CB filled sample. By incorporation of certain amount of cow bone powder, impact strength is increased. The impact strength trend is similar to the tensile strength trend. Sample of 0.5 % CB filled showed maximum impact strength and it is 7.84 % greater than the base.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100448"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategies for fabrication of microalgae based biomaterials: Recent updates","authors":"Anal Kishore Singh,&nbsp;Chinmaya Mahapatra","doi":"10.1016/j.hybadv.2025.100445","DOIUrl":"10.1016/j.hybadv.2025.100445","url":null,"abstract":"<div><div>Microalgae are rich reservoirs of bioactive compounds as well as they exhibit immense proclivity for interacting with nanomaterials consequently offering strong candidacy for wide range of therapeutic possibilities and other applications. The Nano-Bio interaction between a nanomaterial and a microalga exhibits a characteristic diversity along the parameters of structure, function, chemical and biological compatibility yielding into vast possibilities of enhanced functionalities of both the microalgal biomass and the nanomaterial. The derived biomaterials could be exploited for targeted delivery, immunomodulation through ROS release, oxygenic tissue repair etc. The review enlightens on the synthesis of biopolymeric matrices by microalgae and the influences of nanomaterial presence in it. Further research promises to unlock microalgae's full therapeutic potential, revolutionizing healthcare. This review proceeds to provide an oversight of various therapeutic applications and potential of microalgae.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100445"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation on the amplified thermal diffusion with critical shear rate and thermal jump of second-grade engine oil driven quadra hybrid nanofluid flow: A model-based approach","authors":"Tusar Kanti Das ,&nbsp;Bamdeb Dey ,&nbsp;Jintu Mani Nath ,&nbsp;Ashish Paul","doi":"10.1016/j.hybadv.2025.100449","DOIUrl":"10.1016/j.hybadv.2025.100449","url":null,"abstract":"<div><div>This investigation explores the flow dynamics of a quadra hybrid nanofluid driven by second-grade engine oil, taking into account the impacts of thermal diffusion, thermal jump, and critical shear rate. The significance occurs in optimizing the thermal conductivity by employing a hybrid nanofluid comprising of graphene, copper, molybdenum disulfide, and silver nanocomposites, alongside the impacts of Thomson and Troian slip velocities. This research addresses the gap in understanding the combined effects of these factors on heat and mass transfer in nanofluid systems. The issue stems from the lack of competent models that incorporate these sophisticated factors, which are essential for enhancing heat transfer based on nanofluids in industrial processes. The aim of the study is to investigate the effects of slip velocities, thermal jump, and fluid characteristics on the thermal and mass transport behaviour of the hybrid nanofluid. Furthermore, Numerical solutions are developed using the MATLAB bvp4c solver, in combination with an objective-based strategy, to compare the Yamada-Ota and Cross-Hamilton models. The findings show that the concentration, velocity, and temperature distributions are greatly affected by the Troian and Thomson slip velocities. Augmented thermal jump improves heat conveyance however elevated mass dispersion diminishes concentration. The thermal properties are strongly impacted by the second-grade fluid characteristic and the heating source intensity, whereas the Schmidt ratio impacts the concentration distribution. The percentage of heat transmission rate is boosted in the Cross-Hamilton Model in contrast to the Yamada-Ota Model. The findings from this study offer substantial possibilities for enhancing the transmission of heat and mass in industrial processes that employ nanofluids.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100449"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing performance of beam-column joints in reinforced concrete structures using carbon fiber-reinforced polymers (CFRP): A novel review","authors":"Mohammed Sarhan Maseer,&nbsp;Abdulkhalik J. Abdulridha","doi":"10.1016/j.hybadv.2025.100444","DOIUrl":"10.1016/j.hybadv.2025.100444","url":null,"abstract":"<div><div>The performance and longevity of beam-column joints in reinforced concrete (RC) structures are crucial for ensuring structural stability and safety under various loading conditions. This study provides a comprehensive evaluation of CFRP-strengthened beam-column joints, incorporating insights into load-deflection behavior, the effects of major investigated parameters, and comparisons with existing research. Special emphasis is placed on hybrid rehabilitation strategies, such as combining epoxy repair with CFRP laminates and concrete jackets, which have demonstrated significant improvements in joint strength, stiffness, and energy absorption capacity. The study also explores the role of lightweight expanded clay aggregate (LECA) in reducing structural self-weight while enhancing impact resistance and energy dissipation. A critical review of ultimate load capacity, stiffness variations, and energy absorption in pre- and post-cracking stages reveals that CFRP and hybrid reinforcement systems effectively optimize structural performance, though environmental exposure and excessive reinforcement layering may influence long-term durability. Comparative analysis with existing studies highlights both aligned trends and significant variations, particularly in post-cracking stiffness retention and failure mechanisms. Equally, the study denotes the emerging role of AI-driven computational modeling and advanced finite element analysis in predicting joint behavior and optimizing design efficiency. Despite these advancements, hurdles remain in CFRP durability under harsh environmental conditions and the need for eco-friendly, sustainable strengthening materials. By handling these gaps, this research contributes to the development of more resilient, adaptable, and sustainable structural systems capable of withstanding evolving load and environmental demands. These findings offer new insights into enhancing reinforced concrete joint performance, paving the way for safer, more efficient, and long-lasting structural designs.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100444"},"PeriodicalIF":0.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative result analysis of cauliflower disease classification based on deep learning approach VGG16, inception v3, ResNet, and a custom CNN model","authors":"Asif Shahriar Arnob ,&nbsp;Ashfakul Karim Kausik ,&nbsp;Zohirul Islam ,&nbsp;Raiyan Khan ,&nbsp;Adib Bin Rashid","doi":"10.1016/j.hybadv.2025.100440","DOIUrl":"10.1016/j.hybadv.2025.100440","url":null,"abstract":"<div><div>Out of many threats, plant diseases are the major ones to agriculture globally. They can drastically reduce productivity and lead to substantial economic losses. Traditional disease detection methods around these areas are often time-consuming, costly, and less effective, leading to the exploration of advanced techniques such as deep learning. In this study, we compared the results of three different deep learning approaches, namely VGG16, Inception v3, ResNet, and a custom CNN model for the detection of plant diseases in the context of tropical regions. To evaluate the performance of each approach, we used a dataset consisting of images of cauliflower plant diseases commonly found in countries like Bangladesh, India, and others. We trained each model using a transfer learning approach, where we used pre-trained models initially trained on the VegNet dataset on various train-validation splits. Various evaluation metrics were used to conduct this study: accuracy, precision, loss, recall, and F1 score. The ResNet50 model performed the best with an accuracy of 90.85 %, followed by our proposed model with an accuracy of 89.04 %. The findings suggest that deep learning approaches, especially Resnet50, and the proposed model can effectively detect diseases in tropical regions. The study's results suggest that using advanced technologies, such as deep learning, can significantly enhance the effectiveness of disease detection and control, leading to improved agricultural productivity and food security.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100440"},"PeriodicalIF":0.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of unsteady ternary hybrid nanofluid flow with magnetic dipole over an oscillatory stretching surface using the Bivariate simple iteration method on overlapping grids","authors":"Folarin Oluwaseun ,&nbsp;Sicelo Goqo ,&nbsp;Hiranmoy Mondal ,&nbsp;Sibonelo Nzama","doi":"10.1016/j.hybadv.2025.100427","DOIUrl":"10.1016/j.hybadv.2025.100427","url":null,"abstract":"<div><div>This study explores the unsteady flow of a ternary hybrid nanofluid influenced by a magnetic dipole over an oscillatory stretching surface using the Bivariate Simple Iteration Method (BSIM) on overlapping grids. The unique combination of <span><math><mrow><mi>S</mi><mi>i</mi><msub><mrow><mi>O</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span>, <span><math><mrow><mi>M</mi><mi>o</mi><msub><mrow><mi>S</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span>, and <em>Cu</em> nanoparticles in engine oil and water enhances heat transfer, relevant to cooling technologies and biomedical applications. The governing equations are transformed into dimensionless form and solved numerically. Results reveal that increasing the magnetic dipole strength reduces velocity near the surface due to Lorentz forces, while higher nanoparticle fractions improve thermal conductivity, increasing the Nusselt number. Water-based nanofluids generally show superior heat transfer, whereas engine oil offers thermal stability. These findings provide insights into the relationship between external magnetic forces and thermal enhancement techniques and recommendations for maximizing ternary hybrid nanofluids in advanced thermal systems.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100427"},"PeriodicalIF":0.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of machine learning based algorithm to predict performance of turning Al–SiC-MWCNT using cryogenically treated textured insert","authors":"Ch Saikrupa ,&nbsp;G ChandraMohan Reddy ,&nbsp;Sriram Venkatesh","doi":"10.1016/j.hybadv.2025.100432","DOIUrl":"10.1016/j.hybadv.2025.100432","url":null,"abstract":"<div><div>This work intends to improve dry machining of Al–SiC-MWCNT (Aluminum–Silicon Carbide-Multi-Walled Carbon Nanotube) composites with cryogenically treated textured cutting tool inserts. The study aims to optimize machining parameters such feed rate, cutting speed, depth of cut, and nanoparticle concentration to assess their effects on surface roughness and power utilization. These characteristics are key indications of machining processes' product quality and energy efficiency. Textured tools and solid lubrication have been studied; however, lubrication supply systems and high-temperature endurance are still issues. Cryogenic treatment is a strong option that addresses these issues by greatly improving cutting tools' hardness and strength. The L27 Taguchi Orthogonal Array was used to design the experiment. The machining trials included different feed rates, cutting speeds, depths of cut, and nanoparticle concentrations. The machining process's surface roughness and power use were analyzed. A Support Vector Machine (SVM) model was created for predictive study of surface roughness, giving a data-driven way to evaluate machining performance. The SVM model's prediction accuracy and error margin were used to measure its efficacy. The Support Vector Machine model was quite accurate, with a margin of error under 5 %. The model's R² values of 0.87 and 0.90 for power consumption and surface roughness prediction show strong correlation and dependability. The findings imply that cryogenically treated textured cutting tools boost machining efficiency by lowering surface roughness and optimizing power usage. These findings support the use of cryogenic treatment and machine learning models in advanced machining procedures for composite materials.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100432"},"PeriodicalIF":0.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microstructure and surface/interface characterization of TiO2-pillared mica for photocatalytic acetaldehyde degradation","authors":"Masakuni Ozawa ,&nbsp;Hidetomo Matui ,&nbsp;Yuichi Setsuhara","doi":"10.1016/j.hybadv.2025.100435","DOIUrl":"10.1016/j.hybadv.2025.100435","url":null,"abstract":"<div><div>We studied the composite of TiO₂ and mica with the photocatalytic acetaldehyde degradation properties and its physical characterization. The TiO₂-pillared fluorine mica was prepared by synthetic fluorine mica powder and acidic solution of hydrolyzed Ti-precursor, and characterized by XRD, N₂ adsorption studies, SEM, TEM and XPS. The materials exhibited pillared fragments of TiO₂ and a microporous structure following heat treatment at 500–800 °C, as demonstrated by the XRD and adsorption studies. The superior photocatalytic properties were demonstrated to show the complete degradation of 10 ppm acetaldehyde in 3 dm³ air within 60 min using 0.2 g catalyst. The kinetics rate obeyed to the first order of the acetaldehyde concentration, and was improved as the diameter of TiO₂ nanoparticles (NPs) in the catalyst decreased. The TEM and XPS results suggested the TiO₂ NPs with the size of 4–8 nm were well combined with the silicate interlayers, which gave the sufficient performance of the present TiO₂-pillared mica catalyst.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100435"},"PeriodicalIF":0.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanoparticle enhanced biodiesel blends: Recent insights and developments","authors":"Partha Protim Borthakur","doi":"10.1016/j.hybadv.2025.100442","DOIUrl":"10.1016/j.hybadv.2025.100442","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Nanoparticle-enhanced biodiesel blends present a promising alternative to conventional fuels by significantly improving combustion efficiency, emission control, and fuel stability. This review examines the integration of various nanoparticles, including titanium dioxide (TiO&lt;sub&gt;2&lt;/sub&gt;), copper oxide (CuO), and aluminum oxide (Al&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;), which have demonstrated notable improvements in brake thermal efficiency (BTE), brake-specific fuel consumption (BSFC), and reductions in emissions of carbon monoxide (CO), hydrocarbons (HC), and particulate matter (PM). Non-metallic nanoparticles, such as graphene oxide and carbon nanotubes (CNTs), further enhance engine performance by improving thermal conductivity and fuel atomization. The use of hybrid nanoparticle blends, such as TiO&lt;sub&gt;2&lt;/sub&gt;–CuO, capitalizes on synergistic effects to achieve superior combustion characteristics and enhanced emission control. Additionally, emerging materials like cerium oxide (CeO&lt;sub&gt;2&lt;/sub&gt;) and calcium oxide (CaO) have shown potential for improving oxidative stability and addressing combustion inefficiencies in biodiesel blends. This study investigates the effects of incorporating these nanoparticles into biodiesel, focusing on their impact on BTE, emission reduction, and overall fuel efficiency. The study also compares the BTE improvements and emission reductions achieved by different nanoparticles and hybrid blends, with a particular emphasis on the synergistic benefits of combining multiple nanoparticle types. The main findings indicate that nanoparticle-enhanced biodiesel blends significantly improve BTE, with Fe&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt; nanoparticles leading to a 3.16 %–4.89 % increase, TiO&lt;sub&gt;2&lt;/sub&gt; nanoparticles improving BTE by 5.2 % in a B100T50 blend, and Al&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; nanoparticles yielding a 9.83 % improvement in a B30 blend. The most significant improvement was observed with CeO&lt;sub&gt;2&lt;/sub&gt; nanoparticles, achieving a 14.59 % increase in BTE in a B10 blend. Furthermore, hybrid nanoparticle blends such as ferric chloride-graphene showed a remarkable 33.26 % improvement, surpassing individual nanoparticle effects. The catalytic effects of RuO&lt;sub&gt;2&lt;/sub&gt;, TiO&lt;sub&gt;2&lt;/sub&gt;, and CuO nanoparticles contributed to reduced ignition delay, improved fuel-air mixing, and more efficient combustion, resulting in lower brake-specific fuel consumption (BSFC) and reduced emissions (CO, HC, and NO&lt;sub&gt;x&lt;/sub&gt;). The addition of graphene and MWCNTs in B20 blends further enhanced BTE and engine performance, demonstrating their versatility in improving fuel efficiency under varying engine loads. However, challenges persist, including nanoparticle agglomeration, production costs, scalability limitations, and environmental concerns regarding nanoparticle lifecycle and disposal.Future directions emphasize developing hybrid nanoparticles to enhance performance, optimizing nanoparticle concentrations, and standardizing integration methods ","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"10 ","pages":"Article 100442"},"PeriodicalIF":0.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}