jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Mehmet Budakçı | Serdar Kaçamer | Ferzan Katırcıoğlu
Source: Maderas Ciencia y tecnología (article, 2026-03-05)
Field: Materials Science — Biomaterials

Image based colorimetric characterization of scrub induced color changes in UV printed and water transfer printed MDF boards Conventional colorimetric evaluation methods remain inadequate for accurately characterizing scrub-induced color changes on UV-printed and water transfer-printed decorative coatings applied to MDF after chemical resistance testing; therefore, this study proposes an image-based colorimetric characterization approach using an Image Processing-Based Scrub Tester to quantitatively assess such changes under simulated domestic chemical exposure. For this study, 8 mm thick Medium-Density Fiberboard sheets with a bright white, polyvinyl chloride-coated Medium-Density Fiberboard, high-gloss acrylic coating Medium-Density Fiberboard, Medium-Density Fiberboard lam, and Medium-Density Fiberboard sheets treated with polyurethane, cellulose-based, water-based and acrylic paints were utilized. A carbon fiber-patterned organic finish was applied to the surfaces of the pre-treated Medium-Density Fiberboard sample using ultraviolet printing and water transfer printing (WTP) techniques, followed by scrubbing testing with various domestic cleaning agents in compliance with Turkish Standards. As part of the picture evaluation process in this study, digital picture of the samples was captured after and before the scrubbing process. Color measurements were then analyzed based on L*, a*, and b* coordinates, conforming to the Commission Internationale de l'Éclairage (CIE L*a*b*) color system, utilizing a newly developed evaluation technique. From the outcomes of the study, it was observed that the overall color shift of the water transfer printing samples was 124,63% more than the ultraviolet printed samples. To assess the precision of the Image Processing-Based Scrub Tester's color measurement system developed in this research, its results were benchmarked against those from a different color tester. As a result, the findings strongly suggest that the color test analysis performed with Image Processing-Based Scrub Tester, together with the developed software, has the potential to serve as an alternative to industrial testing equipment. Fiberboard ; Color difference ; Colorimetry ; Medium density fiberboard ; Ultraviolet ; Characterization (materials science) ; Chromaticity ; Colorimeter Advanced Cellulose Research Studies ; Material Properties and Processing ; Biosensors and Analytical Detection
Authors: Kathirvel M | Chandrasekaran M
Source: EPJ Web of Conferences (article, 2026-01-01)
Field: Materials Science — Polymers and Plastics

IoT Driven Real-Time Process Monitoring and Intelligent Quality Control Systems in Textile Manufacturing This research introduces the implementation of a Hybrid IoT-AI Framework (HIAF) to promote the integration of Industry 4.0 in textile production to deal with the critical issues of labour-intensive, inconsistent quality, and waste of resources. The system incorporates the integration of RFID, optical, humidity, and vibration sensors of adding of the sensors of the RFI, optical, humidity and vibration with the smart network of the monitoring in real time at all the important production processes of spinning, weaving, dyeing and finishing; for different types of fabric: cotton, polyester, silk. The sample population was comprised of 50 manufacturing plants in five big Indian textile centers in a period of six months. The design uses edge computing to perform real-time data processing and cloud analytics to make predictive data. A texture, dye consistency, and fiber strength anomaly detection module is based on AI and automated control loops modify machine parameters in real-time. It is an innovative production line of digital twin that is used in simulation and predictive maintenance. Comprehensive evaluation has shown the framework's significant impact resulting in a 32% reduction of product defects; a 28% increase in first-pass yield and a 25% reduction in operational downtime. Textile industry ; Analytics ; Population ; Production (economics) ; Cloud computing ; Big data ; Production line ; Enhanced Data Rates for GSM Evolution ; Process (computing) ; Quality (philosophy) Textile materials and evaluations ; Industrial Vision Systems and Defect Detection ; Digital Transformation in Industry
Authors: Luis Fernando Juarez-Flores | Miguel Angel Olivares-Robles | Olao Yair Enciso-Montes de Oca
Source: Processes (article, 2026-03-12)
Field: Materials Science — Materials Chemistry

Novel Hybrid Material Thermoelectric Generator Integrating Thermal Regions on the Hot Side In this work, we develop a three-dimensional thermoelectric (TE) numerical model of a commercial 127-thermocouple TEG, incorporating the temperature-dependent Seebeck coefficient, electrical resistivity, and thermal conductivity. The model is validated against manufacturer data, achieving average errors below 5% in internal resistance, voltage, current, and power output. Using this validated model, we propose a hybrid TEG composed of Bi2Te3, PbTe, and skutterudite legs electrically connected in series. This multi-material configuration enables each leg to operate near its optimal hot-side temperature, extending the usable temperature range beyond that of conventional Bi2Te3 modules. Multiple uniform and non-uniform hot-side thermal boundary configurations are examined, including diagonal, rectangular, and cavity-inspired arched thermal regions. Under uniform hot-side temperatures (200 °C and 230 °C), the commercial Bi2Te3 module outperforms the hybrid material design. However, when non-uniform hot-side boundary conditions align with the material-specific optimal temperature ranges, the hybrid TEG delivers up to 17.37 W (Case F), representing a 135.3% increase in power relative to the commercial module. The highest-temperature cases exceed the thermal operating limits of Bi2Te3 modules, demonstrating the advantage of hybrid material TEGs. Thermoelectric generator ; Thermal ; Thermoelectric effect ; USable ; Generator (circuit theory) ; Power (physics) ; Thermoelectric materials ; Hybrid system ; Boundary value problem Advanced Thermoelectric Materials and Devices ; Advanced Sensor Technologies Research ; Electrical and Thermal Properties of Materials
Authors: Yi Wang | Sibin Kuang | Yuhui Fan | Danfeng Li | Ling Li | Jian Wang | Wei Bian
Source: Frontiers in Medicine (article, 2026-02-10)
Field: Materials Science — Biomaterials

Structural characterization of recombinant humanized type III collagen cold gel and its effects on the biological functions of HaCaT cells Recombinant humanized collagen has been widely used in the biomedical field. This study focuses on the characterization of a novel recombinant humanized type III collagen cold gel (C3Gel). To verify the structural integrity of C3Gel and explore its <i>in vitro</i> cytocompatibility and potential biological applications, a multi-technique approach covering composition, structure, thermal properties, and morphology was employed to perform comprehensive structural analysis. In addition, <i>in vitro</i> biological functional assessments were conducted using cell-based assays. The results demonstrated that the molecular weight and structural sequence of C3Gel were consistent with theoretical expectations. Under low-temperature conditions, C3Gel self-crosslinked into a porous network structure and exhibited favorable cytocompatibility. It enhanced the microenvironment of the extracellular matrix (ECM) and offered substantial structural support to HaCaT cells, which in turn facilitated their adhesion, proliferation, and migration. These findings suggest that C3Gel holds promise as a novel functional biomedical material, providing a scientific basis for further research and application of this recombinant collagen. HaCaT ; Recombinant DNA ; Extracellular matrix ; Characterization (materials science) ; Type I collagen ; Biological activity ; HEK 293 cells ; Extracellular Collagen: Extraction and Characterization ; Tissue Engineering and Regenerative Medicine ; Hydrogels: synthesis, properties, applications
Authors: Imthiyas A | Bubesh Kumar D | Sangeetha krishnamoorthi S | Vasanth kumar J | Dhanush Kumar R
Source: ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (article, 2026-01-01)
Field: Materials Science — Materials Chemistry

Experimental Investigation on Microstructure and Mechanical Properties of Sintered 316 Stainless Steel Specimen for Bio Implants This project focuses on the experimental investigation of microstructural and mechanical behavior of sintered stainless steel 316 (SS316) under various processing and compositional conditions. SS316 metal powder with 99% purity and a particle size range of 30–45 microns were utilized in both advanced and conventional sintering techniques. The first phase involved Spark Plasma Sintering (SPS) at 950°C, with a pressure of 40 MPa and a dwell time of 10 minutes, producing dense and compact specimens. In the second phase, the metal powder was sintered using a conventional furnace after cold pressing at 10 kg/cm². Corrosion testing was conducted for 7 days in distilled water, seawater, and sodium hydroxide solutions to study degradation behavior. In the third phase, SS316 powder was reinforced with ceramic and non-metallic additives such as alumina, zirconia, hydroxyapatite, and silicon in different weight ratios (25–30%), followed by sintering in a muffle furnace at 900°C. This research aims to compare the microstructure, corrosion resistance, and mechanical performance of pure and reinforced SS316 under different sintering environments, offering insights into material selection for biomedical, structural, and corrosion resistant applications. Sintering ; Microstructure ; Muffle furnace ; Ceramic ; Spark plasma sintering ; Corrosion ; Powder metallurgy ; Sodium hydroxide ; Distilled water Titanium Alloys Microstructure and Properties ; Additive Manufacturing Materials and Processes ; Injection Molding Process and Properties
Authors: Wencheng Niu | Pengcheng Zeng | Zhengdao Xie | Tong Bu | Lin Tang | Sen Zhang | Bei Jiang | Xu Zhao | Xitong Hong | Xuming Zou | Xinpei Duan | Lei Liao | Xingqiang Liu
Source: Nano Research (article, 2026-02-01)
Field: Materials Science — Materials Chemistry

High-performance WSe <sub>2</sub> floating gate transistors incorporating a nano-confined elemental oxygen layer Depositing high-quality tunneling layers for two-dimensional (2D) floating gate transistors remains challenging, as it requires precise process control and parameter optimization. Herein, we fabricated a floating gate structure incorporating a high-quality hafnium oxide (HfO<sub>x</sub>) tunneling layer achieved via ozone-induced oxidation of HfS<sub>2</sub> flakes. This process forms a nano-confined elemental oxygen layer at the tunneling layer/channel interface, which effectively suppresses leakage current. As a result, the WSe<sub>2</sub> floating gate transistor exhibits exceptional memory performance, including a high programming/erasing ratio, a long retention time (10<sup>5</sup> s), multibit storage capacity, and reliable low temperature operation. Leveraging its programmable characteristics and robust performance, we demonstrated logic-in-memory operations with functional NOT, XNOR, and XOR gates. This rationally designed floating gate structure offers a promising approach for high-performance memory devices and logic-in-memory systems. Quantum tunnelling ; Transistor ; Layer (electronics) ; Leakage (economics) ; Gate oxide ; Logic gate ; Non-volatile memory ; Oxide 2D Materials and Applications ; Semiconductor materials and devices ; Ferroelectric and Negative Capacitance Devices
Authors: Kathirvel M | Chandrasekaran M
Source: Springer Link (Chiba Institute of Technology) (article, 2026-03-02)
Field: Materials Science — Polymers and Plastics

IoT Driven Real-Time Process Monitoring and Intelligent Quality Control Systems in Textile Manufacturing This research introduces the implementation of a Hybrid IoT-AI Framework (HIAF) to promote the integration of Industry 4.0 in textile production to deal with the critical issues of labour-intensive, inconsistent quality, and waste of resources. The system incorporates the integration of RFID, optical, humidity, and vibration sensors of adding of the sensors of the RFI, optical, humidity and vibration with the smart network of the monitoring in real time at all the important production processes of spinning, weaving, dyeing and finishing; for different types of fabric: cotton, polyester, silk. The sample population was comprised of 50 manufacturing plants in five big Indian textile centers in a period of six months. The design uses edge computing to perform real-time data processing and cloud analytics to make predictive data. A texture, dye consistency, and fiber strength anomaly detection module is based on AI and automated control loops modify machine parameters in real-time. It is an innovative production line of digital twin that is used in simulation and predictive maintenance. Comprehensive evaluation has shown the framework's significant impact resulting in a 32% reduction of product defects; a 28% increase in first-pass yield and a 25% reduction in operational downtime. Textile industry ; Population ; Production (economics) ; Production line ; Process control ; Big data ; Analytics ; Process (computing) ; Cloud computing ; Quality (philosophy) Textile materials and evaluations ; Industrial Vision Systems and Defect Detection ; Digital Transformation in Industry
Authors: Yakup Emül
Source: TURKISH JOURNAL OF PHYSICS (article, 2026-02-18)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Optical textures of a uniform liquid crystal lattice: Monte Carlo simulations with Newton colors and Mueller matrix analysis The optical textures of a uniform liquid crystal (LC) molecule lattice structure were explored through Monte Carlo (MC) simulations, combined with Mueller matrix (MM) formalism and Newton’s color theory. These simulations utilized a Lebwohl-Lasher (LL) type interacting LC lattice under periodic boundary conditions, generating ensemble-averaged configurations at two temperature regimes (kBT = 0.9 and 1.2), corresponding respectively to nematic and isotropic states. These configurations were then incorporated into the MM framework to evaluate the polarization states of transmitted light. To visually interpret the resulting interference phenomena, we propose a new visualization method based on a modern interpretation of Newton’s color model. The Newton color model was employed to render the emerging patterns on a two-dimensional screen in an intuitive fashion. We further introduce a transmittance saturation model as a function of thickness (Lz ), which provides a good fit to the transmittance data of anisotropic media in a uniform LCM lattice. The model, T(Lz) = T0[1 −exp(−κLz)] , successfully captures how transmittance varies with lattice thickness. Interference hues and texture distributions shifted noticeably with increasing thickness in both nematic and isotropic phases, reflecting the degree and nature of molecular ordering. The nematic textures exhibited a rich, broad color spectrum, whereas the isotropic textures were characterized by fewer chromatic variations. Moreover, increasing thickness significantly enhanced both light intensity and color diversity. The nematic textures appeared more structured and patchy, indicative of partial molecular alignment. These findings underscore the intricate interplay among molecular ordering, optical phase distinctions, and overall LC behavior, offering valuable perspectives for display technologies, optical sensing, and related photonic applications that demand fine control of LCM birefringence. Liquid crystal ; Mueller calculus ; Monte Carlo method ; Transmittance ; Isotropy ; Birefringence ; Polarization (electrochemistry) ; Anisotropy ; Matrix method Liquid Crystal Research Advancements ; Optical Polarization and Ellipsometry ; Surface Roughness and Optical Measurements
Authors: Alan R. Pelton | William S. LePage | Nicholas G. D’Attilio | Philipp Hempel | Maximilien E. Launey | Sean M. Pelton | Payman Saffari | Jochen Ulmer | M. R. Mitchell
Source: Metallography Microstructure and Analysis (article, 2026-03-04)
Field: Materials Science — Materials Chemistry

Microstructural Analysis of Inclusions in Six Nitinol Variants Intrinsic Ti4Ni2Ox and TiC inclusions are known to affect the fatigue behavior of Nitinol particularly in its ultralong fatigue life; nevertheless, there are few statistical analyses to characterize the inclusion sizes and morphology to show such relationships quantitatively. This investigation characterizes the inclusions in Nitinol from six melt sources with scanning electron microscopy in the backscattered imaging mode in accord with the on-going ASTM Working Document (Determining the Porosity and Inclusion Content of Nickel Titanium Shape-Memory Alloys (NiTi SMAs) Using Automatic Image Analysis). Specifically, the Feret diameter, area fraction, and aspect ratio were measured from N = 36 images from each condition and both orientations. The results from two laboratories resulted in similar trends with respect to longitudinal and transverse inclusion characteristics. The Feret diameters were further analyzed according to ASTM E2283. In the longitudinal direction VAR Nitinol has extreme dimensions of > 270 µm, whereas the VAR/EBR Nitinol has < 8 µm inclusion dimensions. Structural material ; Microstructure ; X-ray crystallography ; Characterization (materials science) ; Phase (matter) Shape Memory Alloy Transformations ; Metallurgical and Alloy Processes ; Semiconductor materials and interfaces
Authors: Indu Ravish
Source: International Journal of Applied and Behavioral Sciences (article, 2026-01-15)
Field: Chemistry — Organic Chemistry

Traditional Medicine and Nanotechnology Integration: A Review Traditional Drug practices gauge centuries and appear in colorful societies. Systems like Ayurveda, Traditional Chinese Medicine, Unani, and Siddha calculate on phrasings from sauces, minerals, and beast sources. These remedies show some remedial pledge. Yet challenges persist. Issues include poor solubility, low bioavailability, inconsistent standardization, and uneven safety. similar factors limit wider global use. Nanotechnology way in with nano formulation styles. It provides ways to address these problems. This field blends old knowledge with current wisdom. Approaches involve liposomes, polymeric nanoparticles, nano emulsions, nanogels, and solid lipid nanoparticles. substantiation suggests they ameliorate solubility, stability, and targeted delivery for factory composites. exemplifications include curcumin, quercetin, and artemisinin. Mineral medications from tradition, similar as Bhasma’s, admit fresh aesthetics through ultramodern tools. Analysis reveals nanoscale patches. These structures likely explain their goods. Essence nanoparticles come from gold, tableware, and zinc. They hold implicit for crack care, fighting microbes, and boosting impunity. This overview looks at where nanotechnology meets traditional drug. It covers treatment uses, new individual tools, and hurdles in moving forward. Ancient perceptivity brace with advanced nanoscience. The result points toward integrated styles. These could yield safer, better curatives backed by data. Looking ahead, studies need strong checks on toxin. Clinical tests matter too. brigades from different fields should work together. Only also can nano- enhanced traditional options fit responsibly into worldwide health care. Societal impact of nanotechnology ; Applications of nanotechnology ; Work (physics) ; Field (mathematics) ; Nanomedicine ; Boosting (machine learning) Synthesis and biological activity ; Synthesis and Reactivity of Sulfur-Containing Compounds ; Synthesis of Tetrazole Derivatives
Authors: C. N. Udekwe | A. A. Ponnle | A. O. Omolade
Source: FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY (article, 2026-03-13)
Field: Materials Science — Materials Chemistry

EXPERIMENTAL STUDY ON THE SYNERGISTIC EFFECTS OF COOLING METHODS AND HEAT SINK DESIGN ON THERMOELECTRIC GENERATOR PERFORMANCE Thermoelectric generators (TEGs) are a promising option for recovering waste heat into electricity, particularly in low-power applications. However, their performance is often limited by poor heat management, inefficient cooling at the cold side, and substandard material choices. This paper investigates the performance of different heat sink configurations which are the, High-Density Fin Aluminum Alloy (HDFA) and Extruded Aluminum Fin Alloy (EAFA), on a thermoelectric generator (TEG) module and tested under different temperature differences and cooling options such as the ice cooling and fan cooling. The study analyzes the impact of temperature difference on voltage, current, and power output of the thermoelectric generator to determine the most effective heat sink configuration and cooling technique for optimizing thermoelectricity generation. Experimental results showed that the HDFA consistently performed better than the EAFA across all trials which demonstrates higher voltage, current, and power output. Additionally, ice cooling was more effective than fan cooling which generates more power by maintaining higher temperature difference. Results also indicated a direct correlation between power output and temperature difference, further validating how important heat management is in thermoelectric energy conversion. Despite these promising results, some limitations were found such as, controlled laboratory conditions that was used in the experiments that may not fully represent real-world applications. Further research should explore alternative thermoelectric materials, hybrid cooling techniques, and dynamic environmental conditions. These results contribute to the advancements of thermoelectric generators (TEGs) modules, while further supporting their applications into renewable energy systems. Finally, selecting better heat sink materials and cooling techniques would help accelerate the technologies for waste heat recovery and renewable energy systems. Heat sink ; Thermoelectric cooling ; Thermoelectric generator ; Thermoelectric effect ; Passive cooling ; Water cooling ; Electricity generation ; Renewable energy ; Fin Advanced Thermoelectric Materials and Devices ; Phase Change Materials Research ; Smart Materials for Construction
Authors: Ahmed Khalifa | Rokas Veitas | Francisco Machado | Shubhayu Chatterjee
Source: SciPost Physics (preprint, 2026-03-24)
Field: Materials Science — Materials Chemistry

Spin-orbital magnetism in moiré Wigner molecules The interplay of spin and orbital degrees of freedom offers a versatile playground for the realization of a variety of correlated phases of matter. However, the types of spin-orbital interactions are often limited and challenging to tune. Here, we propose and analyze a new platform for spin-orbital interactions based upon a lattice of Wigner molecules in moiré transition metal dichalcogenides (TMDs). Leveraging the spin-orbital degeneracy of the low-energy Hilbert space of each Wigner molecule, we demonstrate that TMD materials can host a general spin-orbital Hamiltonian that is tunable via the moiré superlattice spacing and dielectric environments. We study the phase diagram for this model, revealing a rich landscape of phases driven by spin-orbital interactions, ranging from ferri-electric valence bond solids to a helical spin liquid. Our work establishes moiré Wigner molecules in TMD materials as a prominent platform for correlated spin-orbital phenomena. Magnetism ; Phase diagram ; Hilbert space ; Superlattice ; Hamiltonian (control theory) ; Spins ; Molecule ; Valence (chemistry) ; Lattice (music) 2D Materials and Applications ; Topological Materials and Phenomena ; Advanced Condensed Matter Physics