jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Zobair Ahmed | Loai Nasrat | Mahmoud Rihan
Source: Electrical Engineering & Electromechanics (article, 2025-05-02)
Field: Materials Science — Materials Chemistry

The effect of SiO2 microparticle concentration on the electrical and thermal properties of silicone rubber for electrical insulation applications Introduction. Polymeric insulators, first developed in the 1950s, have since seen substantial advancements in both design and manufacturing, making them increasingly appealing to users and manufacturers in the electrical industry. Extensive testing in both laboratory and outdoor environments has consistently demonstrated that polymeric insulators outperform traditional porcelain and glass counterparts. Among the various polymeric materials, silicone rubber (SiR) has emerged as one of the most promising candidates for high-voltage insulators. Its superiority is attributed to a unique combination of properties, including a non-conductive chemical structure, high dielectric strength, and excellent resistance to scaling. To further enhance these properties, SiR is often combined with fillers to form composite materials. These SiR composites are at the forefront of advanced high-voltage insulation systems, offering improved mechanical, thermal, and electrical performance. As a result, they not only meet the rigorous demands of high-voltage applications but also provide a significantly extended service life. Goal. This study aims to enhance the dielectric and thermal properties of SiR by incorporating micron-sized silicon dioxide (SiO2) filler. Methodology. SiR-based composite samples were prepared by incorporating micron-sized SiO2 at weight fractions of 10 %, 20 %, 30 %, and 40 % of the total composition. Initially, the samples were heated to specific temperatures (25°C, 60°C, 80°C, and 100°C) before undergoing dielectric strength testing to evaluate their performance under varying thermal conditions. Additionally, the samples were subjected to thermal aging for durations of 10, 20, and 30 minutes at the same temperatures before dielectric strength assessment. The results indicated that increasing the filler concentration enhanced the dielectric strength of the SiR/SiO2 composites. The highest breakdown voltage was observed at a filler concentration of 30 %. Practical value. Incorporating micron-sized SiO2 filler into the SiR matrix enhanced the composite's resistance to thermal stress. Compared to SiR-based composites with varying SiO2 concentrations, pure SiR exhibited the lowest dielectric strength. References 48, tables 5, figures 8. Silicone rubber ; Materials science ; Microparticle ; Composite material ; Thermal ; Thermal insulation ; Natural rubber ; Silicone ; Engineering physics ; Chemical engineering ; Engineering ; Physics ; Thermodynamics High voltage insulation and dielectric phenomena ; Advanced Fiber Optic Sensors ; Advanced Sensor and Energy Harvesting Materials
Authors: Xiaobin Wen | Zhihao Lin | Bin Sheng | Xueling Ye | Yiming Zhao | Guangyang Liu | Ge Chen | Qin Lin | Xinyan Liu | Donghui Xu
Source: Nanomaterials (review, 2025-05-20)
Field: Materials Science — Materials Chemistry

Research Status of Agricultural Nanotechnology and Its Application in Horticultural Crops Global food security is facing numerous severe challenges. Population growth, climate change, and irrational agricultural inputs have led to a reduction in available arable land, a decline in soil fertility, and difficulties in increasing crop yields. As a result, the supply of food and agricultural products is under serious threat. Against this backdrop, the development of new technologies to increase the production of food and agricultural products and ensure their supply is extremely urgent. Agricultural nanotechnology, as an emerging technology, mainly utilizes the characteristics of nanomaterials such as small size, large specific surface area, and surface effects. It plays a role in gene delivery, regulating crop growth, adsorbing environmental pollutants, detecting the quality of agricultural products, and preserving fruits and vegetables, providing important technical support for ensuring the global supply of food and agricultural products. Currently, the research focus of agricultural nanotechnology is concentrated on the design and preparation of nanomaterials, the regulation of their properties, and the optimization of their application effects in the agricultural field. In terms of the research status, certain progress has been made in the research of nano-fertilizers, nano-pesticides, nano-sensors, nano-preservation materials, and nano-gene delivery vectors. However, it also faces problems such as complex processes and incomplete safety evaluations. This review focuses on the horticultural industry, comprehensively expounding the research status and application progress of agricultural nanotechnology in aspects such as the growth regulation of horticultural crops and the quality detection and preservation of horticultural products. It also deeply analyzes the opportunities and challenges faced by the application of nanomaterials in the horticultural field. The aim is to provide a reference for the further development of agricultural nanotechnology in the horticultural industry, promote its broader and more efficient application, contribute to solving the global food security problem, and achieve sustainable agricultural development. Agriculture ; Arable land ; Food security ; Agricultural productivity ; Business ; Natural resource economics ; Environmental planning ; Biotechnology ; Environmental science ; Economics ; Geography Advanced Nanomaterials in Catalysis ; Nanoparticles: synthesis and applications ; Carbon and Quantum Dots Applications
Authors: Aiqi Wang | Rui Pan | Jinlei Miao | Yi-Shen Lin | Yuan Deng | Sheng Peng | X. G. Luo | Ping Wu | Shuting Zhang | Yuanyuan Wu | Jiarong Xie | Tingting Fan
Source: Nanomaterials (review, 2025-09-16)
Field: Materials Science — Biomaterials

Applications of Advanced Electrospun Nanofibrous Materials in Water Treatment With the rapid development of cities and increasingly serious environmental problems, energy conservation and environmental restoration are particularly important. Due to the high efficiency of membrane technology in wastewater treatment and polluted water recovery, its research has increased exponentially in recent years. Electrospinning technology has been widely used by researchers in the field of nanofibrous membrane manufacturing due to its inherently high porosity, high flux, and easy preparation of various materials. In this review, the application progress of electrospun nanofibrous materials in water treatment is presented, including membrane distillation, oil-water separation, solar evaporation, and water pollutant removal. Moreover, this review also summarizes the structural design and preparation method of these nanofibrous materials in detail. Finally, the challenges and application prospects of electrospinning in water treatment are determined. Electrospinning ; Water treatment ; Sewage treatment ; Portable water purification ; Membrane ; Nanofiber ; High energy Electrospun Nanofibers in Biomedical Applications
Authors: Nicolas Douard | Ahmed Samet | George Giakos | Denis Cavallucci
Source: Machine Learning and Knowledge Extraction (article, 2025-01-12)
Field: Materials Science — Materials Chemistry

Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation Interdisciplinary research (IDR) is essential for addressing complex global challenges that surpass the capabilities of any single discipline. However, measuring interdisciplinarity remains challenging due to conceptual ambiguities and inconsistent methodologies. To overcome these challenges, we propose a deep learning approach that quantifies interdisciplinarity in scientific articles through semantic analysis of titles and abstracts. Utilizing the Semantic Scholar Open Research Corpus (S2ORC), we leveraged metadata field tags to categorize papers as either interdisciplinary or monodisciplinary, establishing the foundation for supervised learning in our model. Specifically, we preprocessed the textual data and employed a Text Convolutional Neural Network (Text CNN) architecture to identify semantic patterns indicative of interdisciplinarity. Our model achieved an F1 score of 0.82, surpassing baseline machine learning models. By directly analyzing semantic content and incorporating metadata for training, our method addresses the limitations of previous approaches that rely solely on bibliometric features such as citations and co-authorship. Furthermore, our large-scale analysis of 136 million abstracts revealed that approximately 25% of the literature within the specified disciplines is interdisciplinary. Additionally, we outline how our quantification method can be integrated into a TRIZ-based (Theory of Inventive Problem Solving) methodological framework for cross-disciplinary innovation, providing a foundation for systematic knowledge transfer and inventive problem solving across domains. Overall, this approach not only offers a scalable measurement of interdisciplinarity but also contributes to a framework for facilitating innovation through structured cross-domain knowledge integration. Computer science ; Metadata ; Data science ; Discipline ; Field (mathematics) ; Categorization ; Interdisciplinarity ; Scalability ; Artificial intelligence ; Knowledge management ; World Wide Web ; Sociology Machine Learning in Materials Science ; Bioinformatics and Genomic Networks ; Biomedical Text Mining and Ontologies
Authors: Ioana Bâldea | Cristian Iacoviță | Raul Andrei Gurgu | Adrian VIZITIU | Vlad Răzniceanu | Daniela Rodica Mitrea
Source: Nanomaterials (review, 2025-10-04)
Field: Materials Science — Biomaterials

Magnetic Hyperthermia with Iron Oxide Nanoparticles: From Toxicity Challenges to Cancer Applications Iron oxide nanoparticles (IONPs) have emerged as key materials in magnetic hyperthermia (MH), a minimally invasive cancer therapy capable of selectively inducing apoptosis, ferroptosis, and other cell death pathways while sparing surrounding healthy tissue. This review synthesizes advances in the design, functionalization, and biomedical application of magnetic nanoparticles (MNPs) for MH, highlighting strategies to optimize heating efficiency, biocompatibility, and tumor targeting. Key developments include tailoring particle size, shape, and composition; doping with metallic ions; engineering multicore nanostructures; and employing diverse surface coatings to improve colloidal stability, immune evasion, and multifunctionality. We discuss preclinical and clinical evidence for MH, its integration with chemotherapy, radiotherapy, and immunotherapy, and emerging theranostic applications enabling simultaneous imaging and therapy. Special attention is given to the role of MNPs in immunogenic cell death induction and metastasis prevention, as well as novel concepts for circulating tumor cell capture. Despite promising results in vitro and in vivo, clinical translation remains limited by insufficient tumor accumulation after systemic delivery, safety concerns, and a lack of standardized treatment protocols. Future progress will require interdisciplinary innovations in nanomaterial engineering, active targeting technologies, and real-time treatment monitoring to fully integrate MH into multimodal cancer therapy and improve patient outcomes. Cancer ; Iron oxide nanoparticles ; Magnetic nanoparticles ; Metastasis ; Hyperthermia ; Cancer therapy ; Magnetic hyperthermia ; Cancer treatment ; Clinical Practice ; Immunotherapy Nanoparticle-Based Drug Delivery ; Characterization and Applications of Magnetic Nanoparticles ; Microfluidic and Bio-sensing Technologies
Authors: Jiawei Yang | Yi Liu | Wenqing Yan | Pengcheng Zhou | Zonglei Wang | Yuli Wang | Yujie Zhang | Zongman Zhang | Fan Mo | Zichong Ji | Hossam Haick | Yan Wang
Source: Journal of Materials Chemistry C (article, 2025-01-01)
Field: Materials Science — Polymers and Plastics

Conductive hydrogel-based epidermal electrodes for electrophysiological monitoring This review provides an in-depth overview of recent developments in the design and application of conductive hydrogels for epidermal electrophysiological electrodes. Materials science ; Electrophysiology ; Electrode ; Electrical conductor ; Nanotechnology ; Conductive polymer ; Biomedical engineering ; Optoelectronics ; Composite material ; Neuroscience ; Polymer ; Medicine ; Biology Conducting polymers and applications ; Advanced Sensor and Energy Harvesting Materials ; Analytical Chemistry and Sensors
Authors: Ayşenur Yeşilyurt | Naci Uysal
Source: Journal of Applied Polymer Science (article, 2025-07-29)
Field: Materials Science — Polymers and Plastics

Evaluation of Properties of Polypropylene Matrix Composites Reinforced With Perlite, Expanded Perlite, Silanized Expanded Perlite, and Talc Fillers ABSTRACT Improving the mechanical and thermal performance of polypropylene (PP) composites is essential to meet the demanding requirements of contemporary automotive, construction, and electrical‐engineering applications. To address this, PP matrix composites were developed using natural and environmentally friendly fillers such as speech, perlite, expanded perlite, and silanized expanded perlite, and their physical, mechanical, morphological, and thermal properties were investigated. Composites were prepared using a twin‐screw extruder with 5%, 10%, and 20% (w/w) fillers, and additives were used as PP reference samples. The samples were evaluated through density measurements, FTIR spectroscopy, color analysis, melt flow index, tensile and flexural strength testing, impact resistance, scanning electron microscopy, thermogravimetric analysis, and heat deflection temperature (HDT) testing. The results showed significant changes in the properties of the filler material used and structural composites. Thermal properties of hybrid composites showed improvement compared to neat PP for all types and ratios. The HDT values of the composites are similar to each other and to that of pure PP. The flexural strength and tensile strength values of neat PP are 22.1 and 16.2 MPa, while the flexural and tensile values for all ratios of four different inorganic additives resulted in higher values. The flexural strength of PP‐P20 (20% perlite additive) composite is increased by 43%, and the tensile strength increased by 29% compared to pure PP. As expected, the values of the composites were higher compared to pure PP. The melt flow index values decreased for the additives, except for the perlite additive. The index of the additive ratios used belongs to the higher values compared to PP. The innovations obtained show that these additive ratios are effective in the development of PP matrix composites in high‐performance range applications as low selection and environmentally friendly options. Perlite ; Composite material ; Polypropylene ; Materials science ; Talc ; Matrix (chemical analysis) Natural Fiber Reinforced Composites ; Polymer Nanocomposites and Properties ; Polymer crystallization and properties
Authors: Nima Rezazadeh | Alessandro De Luca | Donato Perfetto | Giuseppe Lamanna | Fawaz Annaz | Mario De Oliveira
Source: Sensors (article, 2025-11-09)
Field: Materials Science — Materials Chemistry

Domain-Adaptive Graph Attention Semi-Supervised Network for Temperature-Resilient SHM of Composite Plates This study introduces GAT-CAMDA, a novel framework for the structural health monitoring (SHM) of composite materials under temperature-induced variability, leveraging the powerful feature extraction capabilities of Graph Attention Networks (GATs) and advanced domain adaptation (DA) techniques. By combining Maximum Mean Discrepancy (MMD) and Correlation Alignment (CORAL) losses with a domain-discriminative adversarial model, the framework achieves scalable alignment of feature distributions across temperature domains, ensuring robust damage detection. A simple yet at the same time efficient data augmentation process extrapolates damage behaviour across unmeasured temperature conditions, addressing the scarcity of damaged-state observations. Hyperparameter optimisation via Optuna not only identifies the optimal settings to enhance model performance, achieving a classification accuracy of 95.83% on a benchmark dataset, but also illustrates hyperparameter significance for explainability. Additionally, the GAT architecture's attention demonstrates the importance of various sensors, enhancing transparency and reliability in damage detection. The dual use of Optuna serves to refine model accuracy and elucidate parameter impacts, while GAT-CAMDA represents a significant advancement in SHM, enabling precise, interpretable, and scalable diagnostics across complex operational environments. Hyperparameter ; Scalability ; Structural health monitoring ; Reliability (semiconductor) ; Hyperparameter optimization ; Benchmark (surveying) ; Interpretability ; Graph Machine Learning in Materials Science ; Ultrasonics and Acoustic Wave Propagation ; Structural Health Monitoring Techniques
Authors: Gloria Ana | Azizah M. Malebari | Sara Noorani | Darren Fayne | Niamh M. O’Boyle | Daniela M. Zisterer | Elisângela Flávia Pimentel | Denise Coutinho Endringer | Mary J. Meegan
Source: Pharmaceuticals (article, 2025-01-17)
Field: Chemistry — Organic Chemistry

(E)-1-(3-(3-Hydroxy-4-Methoxyphenyl)-1-(3,4,5-Trimethoxyphenyl)allyl)-1H-1,2,4-Triazole and Related Compounds: Their Synthesis and Biological Evaluation as Novel Antimitotic Agents Targeting Breast Cancer <b>Background/Objectives:</b> The synthesis of (<i>E</i>)-1-(1,3-diphenylallyl)-1<i>H</i>-1,2,4-triazoles and related compounds as anti-mitotic agents with activity in breast cancer was investigated. These compounds were designed as hybrids of the microtubule-targeting chalcones, indanones, and the aromatase inhibitor letrozole. <b>Methods</b>: A panel of 29 compounds was synthesized and examined by a preliminary screening in estrogen receptor (ER) and progesterone receptor (PR)-positive MCF-7 breast cancer cells together with cell cycle analysis and tubulin polymerization inhibition. <b>Results</b>: (<i>E</i>)-5-(3-(1<i>H</i>-1,2,4-triazol-1-yl)-3-(3,4,5-trimethoxyphenyl)prop-1-en-1-yl)-2-methoxyphenol <b>22b</b> was identified as a potent antiproliferative compound with an IC<sub>50</sub> value of 0.39 mM in MCF-7 breast cancer cells, 0.77 mM in triple-negative MDA-MB-231 breast cancer cells, and 0.37 mM in leukemia HL-60 cells. In addition, compound <b>22b</b> demonstrated potent activity in the sub-micromolar range against the NCI 60 cancer cell line panel including prostate, melanoma, colon, leukemia, and non-small cell lung cancers. G<sub>2</sub>/M phase cell cycle arrest and the induction of apoptosis in MCF-7 cells together with inhibition of tubulin polymerization were demonstrated. Immunofluorescence studies confirmed that compound <b>22b</b> targeted tubulin in MCF-7 cells, while computational docking studies predicted binding conformations for <b>22b</b> in the colchicine binding site of tubulin. Compound <b>22b</b> also selectively inhibited aromatase. <b>Conclusions</b>: Based on the results obtained, these novel compounds are suitable candidates for further investigation as antiproliferative microtubule-targeting agents for breast cancer. Tubulin ; Cell cycle ; Cancer research ; Cell cycle checkpoint ; Aromatase ; Breast cancer ; Letrozole ; Chemistry ; Microtubule ; Cancer ; Pharmacology ; Biology ; Cell ; Biochemistry ; Cell biology Synthesis and biological activity ; Click Chemistry and Applications ; Synthesis and Biological Evaluation
Authors: Lamiae Oulanti | Amine Bendarma | Louiza Rabhi
Source: Discover Civil Engineering (review, 2025-06-04)
Field: Materials Science — Polymers and Plastics

Carbon fiber reinforced cellulose composites: a review Abstract Natural fibers have gained considerable attention due to their renewable, biodegradable, and cost-effective characteristics, making them valuable in various industries. Among these, cellulose fibers have historically played a pivotal role in the textile sector due to their excellent mechanical properties and moisture absorption capabilities. However, technological advancements have significantly expanded their applications. Currently, cellulose fibers are increasingly utilized in composite materials, particularly in civil engineering, where they serve as reinforcements for structures, reducing cracking, and enhancing the durability of infrastructures. These fibers are also being incorporated into automotive, aerospace, and sports materials, providing an eco-friendly and cost-effective alternative to synthetic fibers. Although mechanically weaker, cellulose-based composites offer a lightweight, biodegradable, and sustainable solution. The growing popularity of natural fiber-reinforced composites is driven by their environmental advantages, which are particularly relevant for industries prioritizing sustainability, such as automotive, aerospace, and packaging. This study investigates the mechanical properties of cellulose-based composites and examines the factors influencing these properties, including fiber treatment and hybridization techniques, which help improve their performance. The paper also highlights the emerging potential of cellulose nanofibrils, the nanoscale version of cellulose, in innovative applications such as packaging, biomedical fields, and construction materials. These developments contribute to the ongoing evolution of natural fiber composites in diverse industries. Composite material ; Cellulose ; Materials science ; Cellulose fiber ; Fiber ; Natural fiber ; Chemistry ; Organic chemistry Natural Fiber Reinforced Composites ; Advanced Cellulose Research Studies ; Fiber-reinforced polymer composites
Authors: Asta Kausaite‐Minkstimiene | Aiste Krikstaponyte | Nataliya Stasyuk | Galina Gayda | Almira Ramanavičienė
Source: Biosensors (article, 2025-08-19)
Field: Materials Science — Materials Chemistry

An Amperometric Enzyme–Nanozyme Biosensor for Glucose Detection Amperometric biosensors, due to their high sensitivity, fast response time, low cost, simple control, miniaturization capabilities, and other advantages, are receiving significant attention in the field of medical diagnostics, especially in monitoring blood glucose levels in diabetic patients. In this study, an amperometric glucose biosensor based on immobilized enzyme glucose oxidase (GOx) and bimetallic platinum cobalt (PtCo) nanoparticles was developed. The PtCo nanoparticles, deposited on a graphite rod electrode, exhibited peroxidase-like catalytic properties and were able to electrocatalyze the reduction of H<sub>2</sub>O<sub>2</sub>. After immobilization of the GOx, an amperometric signal generated by the biosensor was directly proportional to the glucose concentration in the range of 0.04-2.18 mM. The biosensor demonstrated a sensitivity of 19.38 μA mM<sup>-1</sup> cm<sup>-2</sup>, with a detection limit of 0.021 mM and a quantification limit of 0.064 mM. In addition to this analytical performance, the biosensor exhibited excellent repeatability (relative standard deviation (RSD) was 4.90%); operational and storage stability, retaining 98.93% and 95.33% of its initial response after 26 cycles of glucose detection and over a 14-day period, respectively; and anti-interference ability against electroactive species, as well as exceptional selectivity for glucose and satisfactory reproducibility (RSD 8.90%). Additionally, the biosensor was able to detect glucose levels in blood serum with a high accuracy (RSD 5.89%), indicating potential suitability for glucose determination in real samples. Biosensor ; Amperometry ; Chemistry ; Glucose oxidase ; Enzyme ; Biochemistry ; Chromatography ; Nanotechnology ; Electrode ; Materials science ; Electrochemistry Advanced Nanomaterials in Catalysis ; Electrochemical sensors and biosensors ; Advanced biosensing and bioanalysis techniques