jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Subramaniam Gopalakrishnan
Source: International Journal of Apllied Mathematics (article, 2025-10-07)
Field: Chemistry — Inorganic Chemistry

OPTIMIZING COCONUT SUPPLY CHAINS THROUGH AI: PREDICTIVE MODELING OF MARKET DEMAND AND FARMER REVENUE Coconut industry is an essential part of agricultural economies in the tropical world, which experiences difficulties to gain access to the market and earn sufficient income because of relying on intermediaries. The alternative is provided by digital marketing where farmers can easily access consumers, but the effect on sales performance and uptake among farmers has not been appropriately research. This paper suggests an artificial intelligence (AI)-based framework of forecasting sales of coconuts and by-products and categorizing the direct selling policies of farmers through machine learning. Regression and deep learning models based on past sales data, online marketing metrics, and consumer behavior are used to do sales prediction. To classify, the random forest algorithm is used in classifying farmers into digital marketer, semi-digital marketer and traditional marketer, depending on the characteristics of digital marketing adoption, sales volumes and revenues structures. It has been experimentally demonstrated that Random Forest has a higher accuracy than classical classifiers and feature importance analysis demonstrates how important digital engagement metrics are to predict farmer classification. The suggested framework does not only optimize sales prediction effectiveness but also offers practical feedback on how to increase farmer engagement in online markets, which is to promote sustainability and profitability within the coconut value chain. Profitability index ; Revenue ; Random forest ; Sustainability ; Agriculture ; Sales management ; Regression analysis ; Feature (linguistics) Coconut Research and Applications ; Food Supply Chain Traceability ; Smart Agriculture and AI
Authors: Hassan Vafapour | Seyed Mohammad Javad Mortazavi
Source: Journal of Biomedical Physics and Engineering (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

Neutron Attenuation and Mechanical Properties of Lithium-Cadmium Oxide-Polyester Resin Composites for Space Applications UPS-based composites with Cd and Li offer effective neutron shielding and enhanced mechanical properties, validated by Geant4 simulations. These materials are promising for radiation protection in deep space missions. Electromagnetic shielding ; Attenuation ; Radiation shielding ; Neutron radiation ; Neutron ; Space (punctuation) ; Space radiation ; Neutron poison Graphite, nuclear technology, radiation studies ; Radiation Effects in Electronics ; Polymer Nanocomposite Synthesis and Irradiation
Authors: Xiaoyue Tan | Dan Wang | Yingrui Yao | Kaixuan Liu | Yuzhou Chen | Songsen Fu | Feng Ni
Source:  (preprint, 2025-04-28)
Field: Chemistry — Spectroscopy

Chemical Proteomics Probes: Classification, Applications, and Future Perspectives in Proteome-wide Studies Chemical proteomics probes serve as critical tools for investigating small molecule--protein interactions within complex biological systems. Traditionally, they are categorized into covalent probes and photoaffinity probes. These probes have found ext Proteomics ; Proteome ; Data science ; Computational biology ; Computer science ; Chemistry ; Biology ; Bioinformatics ; Biochemistry Advanced Proteomics Techniques and Applications
Authors: Sugeng Rianto | Ach. Agus Dardiri - | A A Hidayat
Source: International Journal For Multidisciplinary Research (article, 2025-06-23)
Field: Materials Science — Materials Chemistry

Machine Learning-Enhanced Simulation of Thermal Plasmas for Medical Waste Gasification in a Cylindrical Reactor This study presents a hybrid modeling approach that integrates physics-based simulations and machine learning to analyze the behavior of thermal plasmas in a cylindrical reactor for medical waste gasification. Plasma gasification is a promising method for hazardous waste disposal due to its high temperature and environmental safety, but the simulation of such systems remains computationally expensive due to the complexity of the underlying magnetohydrodynamic (MHD) equations. A finite element framework is employed to solve the governing equations of heat transfer and fluid flow, including temperature distribution and velocity fields within the plasma reactor. Several numerical challenges, such as boundary instability, solver divergence, and stiff temperature gradients, are addressed through a combination of mathematical simplifications and adaptive boundary conditions. To enhance simulation efficiency and enable rapid parametric studies, machine learning surrogates—including Gaussian Process Regression and neural networks—are trained on high-fidelity simulation data. These models predict thermal and velocity profiles with high accuracy at a fraction of the computational cost. The integrated framework demonstrates strong potential for use in design optimization, real-time control, and large-scale simulations of plasma-based waste treatment systems. Nuclear engineering ; Nonthermal plasma ; Plasma ; Thermal ; Medical waste ; Waste management ; Process engineering ; Materials science ; Environmental science ; Chemical engineering ; Engineering ; Thermodynamics ; Physics ; Nuclear physics Graphite, nuclear technology, radiation studies ; Healthcare and Environmental Waste Management
Authors: E. Ma | Tan Shi | Jinxue Yang | Kaihui Xun | Jing Li | Bozhao Zhang | Zhengxiong Su | Huiqiu Deng | Jie Hou | Xi Qiu | Yuanming Li | Wu Lu | Yongduo Sun | Yankun Dou | Ke Jin | Chenyang Lu | Jun Ding
Source: Research Square (preprint, 2025-11-19)
Field: Materials Science — Materials Chemistry

Heterogeneous atomic environments destabilize defect clustering to enable a radiation-tolerant alloy Crystallographic defect ; Alloy ; Cluster (spacecraft) ; Irradiation ; Dissociation (chemistry) ; Molecular dynamics ; Dislocation Fusion materials and technologies ; Nuclear Materials and Properties ; Ion-surface interactions and analysis
Authors: Wang Sik Lee | Henry Lee | Patricia Taladriz‐Blanco | Dimitri Vanhecke | Barbara Rothen‐Rutishauser | Alke Petri‐Fink
Source: Advanced Functional Materials (article, 2025-12-26)
Field: Materials Science — Biomaterials

Bioinspired Stabilization of Fluorescent Au@SiO <sub>2</sub> Tracers for Multimodal Biological Imaging ABSTRACT Silica‐coated gold nanoparticles (Au@SiO 2 NPs) are versatile multimodal imaging probes, yet their application in biological environments is limited by rapid silica shell dissolution in cell culture media. Paralleling the natural “maturation” of biosilica, where silanol‐rich silica is condensed into a dense siloxane network for long‐term durability, a solid‐phase calcination strategy enhances silica shell stability without sacrificing optical performance. Fluorescent Au@SiO 2 NPs are synthesized using PEGylated gold cores and sequential Stöber silica coating, then subjected to either conventional liquid‐phase calcination or solid‐phase calcination followed by post‐calcination dye conjugation. Systematic stability studies reveal that pH, protein interactions, and nanoparticle concentration are critical drivers of dissolution. Liquid‐phase calcination preserves fluorescence but fails to prevent degradation in complete cell culture medium. In contrast, solid‐phase calcination at 800°C removes silanol groups completely, producing dense silica shells that maintain structural integrity and fluorescence over 24 h in medium and after macrophage uptake. Fluorescence and electron microscopy reveal that only solid–phase–treated shells retain both architecture and optical functionality, allowing for accurate correlative imaging over extended timescales. This approach resolves the long‐standing trade‐off between chemical robustness and fluorescence retention, yielding multimodal tracers with exceptional chemical stability in complex biological environments. Calcination ; Silanol ; Fluorescence ; Biological imaging ; Nanoparticle ; Silicon dioxide ; Fluorescence-lifetime imaging microscopy ; Colloidal gold Diatoms and Algae Research ; Gold and Silver Nanoparticles Synthesis and Applications ; Mesoporous Materials and Catalysis
Authors: Alireza Kalhor | Kinga Rodak | Hanna Myalska‐Głowacka | Bartosz Chmiela | K. Kuglarz | Ivo Schindler | Krzysztof Radwański | Marian Kampik
Source: Journal of Mining and Metallurgy Section B Metallurgy (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

High-strength and high-conductivity Cu-0.7Mg-0.1Ca alloy fabricated via heat treatment and severe plastic deformation In this research, the effect of annealing in combination with severe plastic deformation (SPD) by the MaxStrain component of the Gleeble thermo-mechanical testing device on the microstructural characteristics, tensile behavior, and electrical conductivity of a Cu-0.7Mg-0.1Ca (wt%) alloy was investigated. The as-cast material was subjected to two treatments: annealing at 923 K for 15 min, followed by cooling in air, and annealing at 923 K for 75 min, followed by quenching in agitated water, which resulted in irregular and partially spheroidized Cu5Ca particles. Subsequent MaxStrain deformation resulted in a remarkable grain refinement by dynamic recrystallization (DRX), in which the annealed and quenched sample exhibited a higher DRX fraction than the annealed and air-cooled sample. As a result, the annealed and quenched samples showed a better synergy between strength and ductility, while these improvements were accompanied by only ~1% reduction in electrical conductivity. Accordingly, the present work demonstrated that annealing and subsequent SPD processing is an effective method for processing high-strength and high-conductivity (HSHC) copper alloys. Materials science ; Alloy ; Severe plastic deformation ; Deformation (meteorology) ; Conductivity ; Composite material ; Metallurgy ; Chemistry Microstructure and mechanical properties ; Aluminum Alloys Composites Properties ; Advanced materials and composites
Authors: Zhonghai Wang | Changhong Cai
Source: Materials (article, 2025-12-11)
Field: Materials Science — Materials Chemistry

Effect of Si on the Impact-Abrasive Wear Behavior of Medium-Carbon Low Alloy Steels with Different Microstructure This work systematically investigated the effect of Si content on the impact-abrasive wear mechanism of medium-carbon low-alloy steels processed through different heat treatment processes, quenching and tempering (QT), austempering, and quenching and partitioning (QP). Three experimental steels with different Si contents were subjected to optimized heat treatment parameters. Microstructural characterization revealed that Si addition significantly enhanced the volume fraction and mechanical stability of retained austenite (RA), refined bainitic and martensitic structures, and suppressed carbide precipitation. The results of mechanical properties demonstrated that austempering yielded the optimal balance of strength, hardness, ductility, and toughness. Impact-abrasive wear tests showed that the 2 B-300 steel exhibited the lowest wear mass loss due to its high work-hardening capacity, deep strain-hardened layer, and low residual tensile stress. In contrast, QT and QP processes resulted in higher wear losses, correlated with high residual tensile stress and reduced RA stability. The above results underscore that Si alloying, combined with appropriate heat treatment, effectively tailors microstructural evolution and residual stress distribution, thereby enhancing impact-abrasive wear resistance for applications in mining and mineral processing equipment. This study provides a comprehensive framework for optimizing Si content and heat treatment parameters to achieve superior wear performance in medium-carbon low-alloy steels. Microstructure ; Martensite ; Quenching (fluorescence) ; Ultimate tensile strength ; Austenite ; Austempering ; Tempering ; Volume fraction ; Residual stress Metal Alloys Wear and Properties ; Microstructure and Mechanical Properties of Steels ; Surface Treatment and Residual Stress
Authors: M. A. Brewer
Source: Technobius physics. (article, 2025-06-11)
Field: Materials Science — Materials Chemistry

Structural analysis of NaCl and CsCl via Debye–Scherrer powder diffraction Retraction Notice: This article has been retracted. The retraction statement is included at the end of the article. Referred to by: Retraction to “M. Brewer and A. Sheriyev, “Structural analysis of NaCl and CsCl via Debye–Scherrer powder diffraction”, tbusphys, vol. 3, no. 2, p. 0031, Jun. 2025. doi: 10.54355/tbusphys/3.2.2025.0031” This study investigates the crystal structures of sodium chloride and caesium chloride through powder X-ray diffraction using the Debye-Scherrer method. The primary objective was to determine lattice types, calculate lattice constants, and estimate the number of atoms per unit cell based on experimental diffraction ring data. Powdered samples were exposed to X-rays, and the resulting ring patterns were analyzed to assign Miller indices and derive interplanar spacings. The evaluation of ring positions and intensities revealed that sodium chloride crystallizes in a face-centered cubic structure, while caesium chloride adopts a body-centered cubic arrangement. The calculated lattice constants were 562.0 pm for sodium chloride and 409.6 pm for caesium chloride, both in good agreement with standard reference values. Additionally, the number of atoms per unit cell was determined to be approximately four for sodium chloride and two for caesium chloride, consistent with their respective crystal symmetries. The study confirms the reliability of basic X-ray diffraction techniques for structural identification in ionic solids and highlights distinct diffraction trends corresponding to different cubic symmetries. These findings reinforce the effectiveness of the Debye-Scherrer approach in crystallographic education and rapid phase analysis, while also identifying opportunities for enhanced resolution through extended exposure or high-intensity sources. Scherrer equation ; Diffraction ; Debye ; Materials science ; Powder diffraction ; Crystallography ; Chemistry ; Physics ; Condensed matter physics ; Optics X-ray Diffraction in Crystallography ; Crystal Structures and Properties ; Chemical Synthesis and Characterization
Authors: George-Mihail Teodorescu | Zina Vuluga | Toma Fistoș | Sofia Slămnoiu-Teodorescu | Jenica Paceagiu | Cristian Andi Nicolae | Augusta Raluca Gabor | Marius Ghiurea | Ioana Cătălina Gîfu | Rodica‐Mariana Ion
Source: Polymers (article, 2025-07-16)
Field: Materials Science — Polymers and Plastics

The Effect of Bio-Based Polyamide 10.10 and Treated Fly Ash on Glass-Fiber-Reinforced Polyamide 6 Properties Increased concern for human health and the environment has pushed various industries to adopt new approaches towards satisfying modern regulations. Strategies to achieve these approaches include utilizing lightweight materials, repurposing waste materials, and substituting synthetic polymers with bio-based counterparts. This study investigates the effects of treated fly ash (C) and bio-based polyamide 10.10 (PA10) on the thermal, morphological, and mechanical properties of glass fiber (GF)-reinforced polyamide 6 (PA6). Our main objective was to develop a composite that would allow for the partial replacement of glass fiber in reinforced polyamide 6 composites (PA6-30G) while maintaining a favorable balance of mechanical properties. Composites processed via melt processing demonstrated enhanced mechanical properties compared to PA6-30G. Notably, significant improvements were observed in impact strength and tensile strain at break. The addition of PA10 resulted in increases of 18% in impact strength and 35% in tensile strain relative to PA6-30G. Complementary, structural and morphological analyses confirmed strong interfacial interactions within the composite matrix. These findings indicate that a PA6/PA10 hybrid composite may represent a viable alternative material for potential automotive applications. Polyamide ; Materials science ; Ultimate tensile strength ; Composite material ; Glass fiber ; Composite number ; Izod impact strength test ; Fly ash ; Heat deflection temperature Natural Fiber Reinforced Composites ; biodegradable polymer synthesis and properties ; Polymer Nanocomposites and Properties
Authors: Mohamed Ebrahem | Alaaeldin Mahmoud | Yasser H. El-Sharkawy
Source: Journal of Fluorescence (article, 2025-11-08)
Field: Chemistry — Analytical Chemistry

Dual Imaging Approach Using Laser-Induced Fluorescence and Hyperspectral Reflectance for Automated Sorting of White Polyamide in Mixed Waste In automated recycling systems, accurately sorting mixed-material waste remains a significant challenge, particularly when materials such as wood, metals, and polymers exhibit similar visual appearances. White polyamide polymer is widely used in industrial components due to its durability and chemical resistance, yet its recovery from waste streams is often hindered by optical similarities to light-colored wood and oxidized or coated metals. This study presents a dual imaging approach that combines laser-induced fluorescence (LIF) using ultraviolet excitation with hyperspectral imaging (HSI) of diffuse reflectance under broadband illumination (400-1000 nm). The fluorescence experiments revealed that the white polyamide polymer exhibited a strong significant wavelength at approximately 740 nm, distinctly separating it from wood and metal, alongside a less prominent secondary response at 443 nm. However, in the visible range from about 480 to 630 nm, the fluorescence responses of wood and polymer substantially overlapped, underscoring the importance of targeting the near-infrared (NIR) emission for effective polymer discrimination. Complementary diffuse reflectance HSI data analyzed through histogram techniques identified optimal wavelengths near 480 nm and 840 nm that enhanced contrast between the polymer, wood, and metal, guiding the design of simplified multispectral systems. This dual-modality imaging strategy integrates molecular fluorescence sensitivity with detailed reflectance profiling to achieve improved material discrimination, paving the way for practical, automated sorting solutions. The insights gained also support the future development of conventional aerial camera systems equipped with optimized filters and illumination sources to monitor and manage polymer waste accumulation on larger environmental scales. Hyperspectral imaging ; Polyamide ; Sorting ; Multispectral image ; Fluorescence ; Polymer ; Reflectivity Spectroscopy and Chemometric Analyses ; Optical Imaging and Spectroscopy Techniques ; Microplastics and Plastic Pollution
Authors: Farzana Jabeen | Zunera Shouket
Source: Annual Methodological Archive Research Review (article, 2025-08-14)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Tailoring Plasmonic Properties of Silica-Coated Gold and Silver Nanostructures The performance of plasmonic sensors is primarily determined by two critical factors: the bulk refractive index sensitivity (RIS) and the linewidth (or full-width at half maximum, FWHM) of the localized surface plasmon resonance (LSPR) peak. To achieve optimal sensor functionality, it is essential to maximize RIS while maintaining a narrow resonance spectrum. These parameters are often collectively assessed using the product RIS and FoM, where FoM (figure of merit) is defined as RIS/FWHM. While complex plasmonic nanostructures are widely recognized for their high sensitivity, they frequently suffer from broad LSPR peaks, which can compromise detection limits. In this research, we utilized full-wave electromagnetic analysis, grounded in Mie theory, to model dielectric-shell/metal-core nanoshells—specifically Au coated SiO₂ and Ag coated SiO—as effective LSPR sensors. By optimizing the nanoshells' geometry, we calculated the highest RIS × FoM values, obtaining ~479 nm/RIU² for Ag coated SiO and ~364 nm/RIU² for Au coated SiO₂. Our findings indicate that this multilayer core-shell design can be extended to other material systems, enabling the development of plasmonic sensors with improved accuracy, stability, and sensitivity across a wide spectral range. Keywords- Localized Surface Plasmon Resonance, Bulk Sensitivity (RIS), Figure Of Merit (FoM) Plasmon ; Figure of merit ; Laser linewidth ; Surface plasmon resonance ; Refractive index ; Sensitivity (control systems) Gold and Silver Nanoparticles Synthesis and Applications ; Laser-Ablation Synthesis of Nanoparticles
Authors: Zhiyu Sun | Jianguo Duan | Xiang Wu | Xiaofei Mo | Hai Nan | Jingchao Xu | Ao Fu | Yuankui Cao | Bin Liu
Source: Materials (article, 2025-12-09)
Field: Materials Science — Materials Chemistry

Mechanical Properties and Fracture Behavior of Hot Isostatically Pressed TiC/TC4 Composites Titanium matrix composites (TMCs), characterized by low density, high strength, and excellent high-temperature mechanical properties, are becoming preferred materials for key components in aerospace engines. However, conventional casting methods for preparing TMCs often encounter issues such as composition segregation and coarse reinforcement phases, hindering their engineering application. In this study, we fabricated TiC/TC4 titanium matrix composites via hot isostatic pressing (HIP). The composites exhibited room-temperature tensile strength of 1058 ± 8 MPa, yield strength of 958 ± 12 MPa, and total elongation of 17.0 ± 0.5%. Furthermore, the TiC/TC4 composites demonstrated favorable high-temperature mechanical properties, with a tensile strength of about 500 MPa at 600 °C. Investigation into plastic deformation and fracture behavior revealed that at room temperature, tensile cracks initiated predominantly around the reinforcing TiC particles, whereas at high temperatures, cracks primarily originated within the matrix. The strengthening mechanisms of the TiC particle-reinforced TC4 composites included particle strengthening, solid solution strengthening, and load-transfer strengthening. Additionally, the precipitation of nano-acicular secondary α (αs) phases within the β phase during high-temperature tensile deformation was observed, contributing to the superior high-temperature mechanical performance of the composites. Ultimate tensile strength ; Hot isostatic pressing ; Deformation (meteorology) ; Hot pressing ; Elongation ; Casting ; Tensile testing ; Titanium ; Titanium alloy Titanium Alloys Microstructure and Properties ; Aluminum Alloys Composites Properties ; Advanced ceramic materials synthesis