jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Peng Cui | Yuan Xue | Yuchen Liu
Source: Scientific Reports (article, 2025-10-15)
Field: Materials Science — Polymers and Plastics

Digital control of wide gamut color spun yarns enabled by four primary grid based mixing model This paper introduces a digital control system for producing wide-gamut color-spun yarns by integrating a four-primary (Cyan, Magenta, Yellow, Grey) grid-based mixing model with a three-channel computer numerical control (CNC) rotor spinning system. The framework was validated by producing and testing 90 systematically varied yarn samples. The resulting yarns demonstrated precise, predictable colors, with exceptional agreement between the predicted model and measured fabric colors across the entire gamut. Furthermore, comprehensive testing confirmed that the yarns' mechanical properties, evenness, and hairiness meet or exceed industry standards. This research provides a systematic, mathematically rigorous approach that transforms color-spun yarn production from a craft-based process into a precision-controlled digital manufacturing technology. Yarn ; Spinning ; Gamut ; Mixing (physics) ; Grid ; Process (computing) ; Rotor (electric) Textile materials and evaluations ; Industrial Vision Systems and Defect Detection ; Dyeing and Modifying Textile Fibers
Authors: Artem A. Babaryk | Sergiy Khlon
Source: Military strategy and technology (article, 2025-12-16)
Field: Chemistry — Analytical Chemistry

SPECTRAL ANALYSIS AS A VECTOR FOR THE DEVELOPMENT OF CHEMICAL RECONNAISSANCE DEVICES Due to the acute toxicity and extreme lethality, yet the non-selective type of activity of CWA’s (chemical weapon agents) toward military targets and the civilian population, timely detection and identification of CWA’s is becoming an important element of modern war conflicts. Spectral analysis is employed in nowadays for the engineering of accurate and selective detection of chemical warfare weapons. An analysis of current trends in the development of remote sensing of CWA’s shows the NATO member states and the russian federation have already mastered and are continuing enhancement and modernization of the latest technologies for the development of weapons based on the laser radiation differential absorption spectroscopy (differential absorption LIDARS), Fouriertransformed infrared (FT-IR) spectroscopy for the detection, identification, determination of concentration ranges for revealed CWA contaminated areas, linking them to corresponding geospatial data. The mentioned type of devices is capable of discrimination of main groups of CWA’s like nerve gases, blister substances, explosives as well as industrial toxic compounds at a range of as far as 6 km. The rich possibilities for detection of various industrial toxic substances using long-range stand-off chemical reconnaissance would contribute to increasing the situational awareness of the Armed Forces of Ukraine units that perform combat (special) missions in the territories, where the main chemical industry objects of Ukraine are located. The effective counteraction to recent potential chemical threats depends on the accelerated research and development of the grounds of advanced analytical methods for detecting CWA’s, as well as the settling and development of cooperation with international professional partner organizations would significantly advance the capabilities of the design, scale up the production, move forward the enhancement and modernization of up-to-date chemical reconnaissance equipment. Chemical warfare ; Chemical industry ; Geospatial analysis ; Identification (biology) ; Situation awareness ; Modernization theory Spectroscopy and Chemometric Analyses ; Laser-induced spectroscopy and plasma ; Advanced Scientific Research Methods
Source: PLANT ARCHIVES (review, 2025-01-11)
Field: Chemistry — Analytical Chemistry

EMPLOYMENT OF PRECISION CONTROLLED SYSTEMS IN THE DEHYDRATION AND PRESERVATION OF FRUITS AND VEGETABLES: A REVIEW This review investigates the role of precision-controlled systems in the dehydration and preservation of fruits and vegetables, highlighting their effectiveness in extending shelf life, while maintaining quality.Traditional preservation methods, including drying, canning and freezing, often lead to substantial nutrient loss and quality degradation.In contrast, precision technologies-comprising advanced sensors, automation and real-time data analytics-enable superior control over key factors such as temperature, humidity and air circulation during preservation.Recent advancements in these precision technologies have demonstrated significant benefits.For instance, they optimize drying kinetics, allowing for faster and more efficient moisture removal while preserving the nutritional content of produce.This not only minimizes spoilage rates but also enhances the sensory attributes, such as taste, texture and colour, making the products more appealing to consumers.Studies indicate that fruits and vegetables processed using precision-controlled systems retain higher levels of vitamins and minerals compared to those treated with conventional methods.For producers, precision-controlled systems reduce food waste by extending the shelf life of products, resulting in increased profitability and market competitiveness.Consumers benefit from higher-quality, nutrient-rich produce, contributing to healthier dietary choices.Ultimately, this review underscores the transformative potential of precision-controlled systems in food preservation.By integrating these advanced technologies into dehydration and preservation processes, the food industry can significantly improve the longevity and quality of fruits and vegetables available in the market, addressing the growing demand for high-quality, minimally processed foods.The findings suggest that further research and development in this field are essential for maximizing the benefits of precision preservation techniques, fostering sustainability and meeting consumer expectations in an evolving market landscape. Dehydration ; Horticulture ; Biology ; Chemistry ; Environmental science ; Biotechnology Spectroscopy and Chemometric Analyses ; Freezing and Crystallization Processes ; Advanced Chemical Sensor Technologies
Authors: Endita Prima Ari Pratiwi | Ajeng Dyah Kurniawati
Source: Jurnal Ilmiah Teknologi Pertanian Agrotechno (article, 2025-10-18)
Field: Chemistry — Analytical Chemistry

Spektroskopi Fourier Transform Infrared dengan Kemometrika: Metode Deteksi Cepat untuk Autentikasi dan Keamanan Pangan Abstract High-value products such as honey, oils, meat, and spices are primary targets of adulteration. To meet the need for fast, accurate, and non-destructive analytical methods for detecting adulteration, this study reviews the application of Fourier Transform Infrared spectroscopy combined with chemometric techniques. Fourier Transform Infrared spectroscopy offers advantages such as minimal sample preparation, rapid analysis, and high sensitivity, while chemometrics enables the interpretation of complex spectral data through techniques like Principal Component Analysis, Discriminant Analysis, and Partial Least Squares. The findings indicate that Fourier Transform Infrared, especially when using Attenuated Total Reflectance accessories, is effective in detecting adulteration in various food products such as sesame oil, honey, butter, and meat. Spectral pre-processing methods such as Standard Normal Variate, Multiplicative Scatter Correction, and Savitzky-Golay derivatives are crucial in improving model accuracy. Chemometric analyses such as Principal Component Analysis (unsupervised) and Discriminant Analysis or Partial Least Squares (supervised) have proven effective in classifying and predicting the level of adulteration. Therefore, the combination of Fourier Transform Infrared and chemometrics has strong potential as a reliable tool for food product authentication and quality monitoring throughout the supply chain. Chemometrics ; Principal component analysis ; Partial least squares regression ; Fourier transform ; Fourier transform infrared spectroscopy ; Linear discriminant analysis ; Pattern recognition (psychology) ; Fourier transform spectroscopy Spectroscopy and Chemometric Analyses ; Edible Oils Quality and Analysis ; Identification and Quantification in Food
Authors: Benjamin Padman
Source:  (preprint, 2025-03-28)
Field: Materials Science — Surfaces, Coatings and Films

Processing 3D FIB-SEM data via AIVE v1 A complete procedure for processing 3D FIB-SEM data via AIVE (AI-directed Voxel Extraction); from raw images to final result. Materials science ; Computer science Electron and X-Ray Spectroscopy Techniques ; Advanced Electron Microscopy Techniques and Applications ; Integrated Circuits and Semiconductor Failure Analysis
Authors: Yuan Shen | Wei Ma | Mingyang Xi | Jie Hu
Source: Highlights in Science Engineering and Technology (article, 2025-07-02)
Field: Chemistry — Analytical Chemistry

Maize and Soybean Moisture Prediction Based on Spectral Sparse Modeling Method Triggered by KKT Optimality Conditions As important crops for ensuring food security, maize and soybeans require precise moisture content detection, which is crucial for the safety of grain storage and quality control. Traditional methods like oven drying are slow and destructive, failing real-time monitoring needs. Near-infrared (NIR) spectroscopy offers non-destructive rapid analysis but faces challenges with high-dimensional data: traditional LASSO suffers from unstable feature selection due to collinearity and inefficient parameter optimization. This study introduces KKT-LASSO with random perturbation to address these issues, enabling efficient feature selection and parameter tuning. The method uses Karush-Kuhn-Tucker (KKT) conditions to track regularization paths dynamically, reducing computation while stabilizing collinear data handling. Combined with multiplicative scatter correction and partial least squares regression (PLSR), it processes preprocessed spectra to build moisture prediction models. Experimental results show strong performance: corn achieves R² 0.9988 with 40 wavelengths in 351 iterations, and soybeans R² 0.9847 with 25 wavelengths in 129 iterations. The approach efficiently selects relevant features, outperforming conventional methods in accuracy and interpretability. This research provides a reliable solution for real-time moisture monitoring, enhancing smart agricultural management and food security through efficient spectral analysis. Karush–Kuhn–Tucker conditions ; Moisture ; Mathematics ; Biological system ; Computer science ; Environmental science ; Mathematical optimization ; Chemistry ; Organic chemistry ; Biology Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Water Quality Monitoring and Analysis
Authors: Haitao Nie | Yaping Zhao | Yifei Zhang | Yanmin Zhu | Jingyan Chen | Yunfei Tian | Edmund Y. Lam
Source: Advanced Photonics Research (article, 2025-11-06)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Metasurface‐Encoded Single‐Pixel Hyperspectral Imaging Hyperspectral imaging in the visible spectrum offers significant potential for diverse applications, but is often constrained by bulky hardware and limited robustness in low‐light conditions. To overcome these challenges, a simulation‐based proof‐of‐concept for a metasurface‐encoded single‐pixel hyperspectral imaging system (MESH) is presented, in which structured spatial modulation is combined with a compact set of 50 broadband metasurface filters designed using a binary pattern generation strategy to ensure low interfilter correlation. Hyperspectral datacubes comprising 301 channels from 400 to 700 nm are reconstructed via a sparsity‐constrained optimization algorithm, while a physics‐enhanced deep learning model is further introduced to enable fast and accurate recovery. Simulation results demonstrate that MESH achieves a spectral resolution of 1.17 nm. Even at a total compression ratio of 2.1%, the deep learning model maintains high reconstruction quality, with a peak signal‐to‐noise ratio of 30.96 dB, structural similarity of 0.8526, and spectral angle mapping of 0.0742 rad, indicating accurate intensity recovery, structural preservation, and spectral integrity. The present study provides a simulation‐based verification of feasibility and design guidelines, laying the groundwork for future experimental validation of the MESH system, which is expected to further demonstrate its practical applicability and performance for deployment in low‐light and resource‐constrained environments. Hyperspectral imaging ; Robustness (evolution) ; Full spectral imaging ; Image resolution ; Deep learning ; Broadband ; Spectral imaging ; Iterative reconstruction Metamaterials and Metasurfaces Applications ; Random lasers and scattering media ; Advanced Wireless Communication Technologies
Authors: Abhishek Saxena
Source: International Journal for Research in Applied Science and Engineering Technology (review, 2025-05-31)
Field: Materials Science — Materials Chemistry

A Comprehensive Review on Enhancing Refrigeration System Efficiency Using Nanoparticle-Enhanced Refrigerants and Phase Change Materials in Condenser Applications" Improving the energy efficiency of refrigeration systems has become increasingly important due to rising global energy demands and heightened environmental concerns. Conventional refrigeration systems often suffer from high energy consumption and inefficient heat transfer, especially within the condenser unit. In recent years, significant research efforts have focused on incorporating advanced materials and technologies to enhance thermal performance and reduce energy losses. This review critically examines two promising approaches: nanoparticle-enhanced refrigerants (nano-refrigerants) and phase change materials (PCMs). Nano-refrigerants are created by dispersing high-thermal-conductivity nanoparticles into traditional refrigerants, resulting in improved heat transfer capabilities and system performance. These modified fluids help increase the coefficient of performance (COP), reduce compressor work, and enhance overall heat exchange efficiency. On the other hand, PCMs are used in condensers for thermal energy storage by absorbing and releasing latent heat during phase transitions, helping to stabilize temperature fluctuations and manage peak thermal loads. The combined application of nano-refrigerants and PCMs in refrigeration condensers offers a synergistic advantage by enhancing heat removal, reducing energy input, and contributing to system stability and sustainability. This review provides a comprehensive overview of recent advancements, experimental findings, and future prospects, highlighting their potential to revolutionize refrigeration technology for energy-efficient and eco-friendly applications. Refrigerant ; Condenser (optics) ; Refrigeration ; Phase change ; Materials science ; Process engineering ; Nanoparticle ; Phase (matter) ; Nanotechnology ; Environmental science ; Chemistry ; Engineering physics ; Mechanical engineering ; Engineering ; Heat exchanger ; Physics ; Organic chemistry Advanced Thermoelectric Materials and Devices ; Optical properties and cooling technologies in crystalline materials ; Refrigeration and Air Conditioning Technologies
Authors: Pedro Cavadía | José M. Benjumea | Óscar Begambre | Edison Osorio | María Alejandra Mantilla Villalobos
Source: Data (article, 2025-02-04)
Field: Materials Science — Materials Chemistry

An Open Database of the Internal and Surface Temperatures of a Reinforced-Concrete Slab-on-I-Beam Section Due to climate change, the temperature monitoring of reinforced-concrete (RC) structures is becoming critical for preventive maintenance and extending their lifespan. Significant temperature variations in RC elements can affect their natural frequencies and modulus of elasticity or generate abnormal stress levels, potentially leading to structural damage. Data from thermal monitoring systems are invaluable for testing and validating numerical methodologies for estimating internal thermal responses and aiding in prevention/maintenance decision making. Despite its importance, few experimental outdoor data on the internal and external temperatures of concrete structures are available. This study presents a comprehensive dataset from a 120-day temperature-monitoring campaign on a 1.2 m long reinforced-concrete slab-on-I-beam model under tropical conditions in Bucaramanga, Colombia. The monitoring system measured the internal temperatures at 40 points using embedded thermocouples, while the surface temperatures were recorded with handheld and drone-mounted thermal cameras. Simultaneously, the ambient temperature, solar radiation, rainfall, wind velocity, and other parameters were monitored using a weather station. The instrumentation ensured the synchronization and high spatial resolution of the thermal data. The data, collected at 30 min intervals, are openly available in CSV format, offering valuable resources for validating numerical models, studying thermal gradients, and enhancing structural health-monitoring frameworks. Slab ; Section (typography) ; Beam (structure) ; Reinforced concrete ; Structural engineering ; Materials science ; Geology ; Composite material ; Computer science ; Engineering Structural mechanics and materials
Authors: Woo-jin Seo
Source: Science Insights (article, 2025-12-29)
Field: Materials Science — Materials Chemistry

“Einstein Tile”: A Perspective from a Mathematician The discovery of the “Einstein tile,” a single shape capable of tiling the plane only aperiodically, represents one of the most captivating mathematical breakthroughs of the century. For decades, mathematicians searched for a monotile—an “ein stein,” or “one stone”—that forces nonrepeating structure without requiring reflections or multiple tile types. The recent identification of the “hat” tile and subsequent refinements ignited a surge of excitement, not merely for solving a longstanding open problem but for reshaping how we understand order, symmetry, and complexity. This perspective article explores the Einstein tile from the lens of a mathematician: its conceptual beauty, its surprising simplicity, its implications for geometry and physics, and its philosophical resonance. Beyond a puzzle solved, the Einstein tile challenges our intuitions about pattern formation, randomness, and what it means for structure to arise without periodicity. Its discovery marks a turning point in tiling theory, mathematical curiosity, and our evolving view of the infinite. Perspective (graphical) ; Tile ; Point (geometry) ; Identification (biology) ; Einstein ; Infinity Quasicrystal Structures and Properties ; Cellular Automata and Applications ; Architecture and Computational Design
Authors: М.Д. Щеклеина | П.Ю. Плечов | А.А. Плечова
Source: Новые данные о минералах (article, 2025-10-09)
Field: Materials Science — Ceramics and Composites

Расплавные включения в кварце: изменения при вторичном нагреве В данной работе описаны серии экспериментов с первичными расплавными включениями в кварце образца горизонта F9 толщи Bishop Tuff кальдеры Long Valley (США) при температуре 1100, 1150 и 1200 °С, атмосферном давлении и контролируемой фугитивности кислорода на уровне буфера NNO. В каждой серии экспериментов часть включений оказалась разгерметизированной и полностью потеряла летучие компоненты, тогда как другая часть их частично сохранила. При увеличении температуры эксперимента доля сохранных включений уменьшается. Критерием сохранности летучих компонентов является обогащение составов стекла во включении кремнеземом за счет растворения кварца со стенок включений. При потере включениями воды возрастает температура равновесия кварц–расплав во включении и растворения минерала-хозяина не происходит (при температуре эксперимента). Состав стекла таких включений соответствует исходно законсервированному расплаву за исключением летучих компонентов. Выделяется группа включений, которые разгерметизировались не сразу, а через какое-то время после начала эксперимента. Для таких включений характерны каймы новообразованного кристобалита на стенках. Таким образом, повторный нагрев включений в кварце приводит к возникновению двух групп включений, различимых по содержанию SiO2 . Первая группа (с меньшим SiO2 ) потеряла летучие компоненты, но сохранила первичные содержания петрогенных компонентов. Вторая группа (с большим SiO2 ) сохранила летучие компоненты, но обогащена кремнеземом за счет растворения минерала-хозяина. Natural (archaeology) ; Field (mathematics) ; Sequence (biology) Advanced ceramic materials synthesis ; Material Science and Thermodynamics ; Graphite, nuclear technology, radiation studies
Authors: Annick Haller | Xiaoxi Liu | Avantika Sinha | Sule Sahin | Peder E. Z. Larson | Charlie Wang
Source: Magnetic Resonance in Medicine (article, 2025-03-04)
Field: Chemistry — Spectroscopy

A flexible <scp>MRF</scp> approach to improve kinetic rate estimation with <scp>bSSFP</scp> ‐based hyperpolarized [1‐ <scp> <sup>13</sup> C </scp> ]pyruvate <scp>MRI</scp> The use of the MRF framework for k<sub>PL</sub> estimation demonstrates the feasibility of dictionary-based template matching and can be used to accurately estimate physiologically relevant k<sub>PL</sub> and improve cumulative SNR. Chemistry ; Kinetics ; Physics Advanced NMR Techniques and Applications ; Advanced MRI Techniques and Applications ; Atomic and Subatomic Physics Research
Authors: Yuri Shur | Benjamin Jones | M. Torre Jorgenson | Mikhail Kanevskiy | Anna Liljedahl | Donald A. Walker | Melissa Ward Jones | Daniel Fortier | Alexander Vasiliev
Source: Preprints.org (review, 2025-04-24)
Field: Materials Science — General Materials Science

Formation of Low-Centered Ice-Wedge Polygons and Their Orthogonal Systems: A Review Ice wedges, which are ubiquitous in permafrost areas, play a significant role in the evolution of permafrost landscapes, influencing the topography and hydrology of these regions. In this paper, we combine a detailed multi-generational, interdisciplinary, and international literature review along with our own field experiences to explore the development of low-centered ice-wedge polygons and their orthogonal networks. By analyzing controversial subjects such as the degradational or aggradational nature of low-centered polygons and the formation of orthogonal ice-wedge networks, this paper aims to clarify misconceptions and present a cohesive overview of lowland terrain ice-wedge dynamics. The findings emphasize the critical role of ice wedges in shaping Arctic permafrost landscapes and their vulnerability to ongoing climatic and landscape changes. Wedge (geometry) ; Ice wedge ; Geology ; Geometry ; Mathematics ; Oceanography Material Properties and Applications ; Icing and De-icing Technologies ; Arctic and Antarctic ice dynamics
Authors: Sarah Eveillard | Fanny Courtin | Xavier Doligez | Marc Ernoult | Nicolas Thiollière | Kévin Tirel | Jean-Marc Vidal
Source: Progress in Nuclear Science and Technology (article, 2025-09-30)
Field: Materials Science — Materials Chemistry

Impact of Fuel Loading Models on Fuel Cycle Dynamic Simulations This paper shows how important fuel loading models are in nuclear scenario simulations as soon as material recycling, such as plutonium in MOX fuels, are involved.These models aim to identify the fresh fuel composition at each reactor loading in a scenario describing the nuclear fleet evolution.The paper focuses on plutonium recycling in PWRs on a simple academic study and considers several criteria for identifying the right amount of plutonium to be loaded in a given reactor at a given time.These criteria depend on the level of precision and complexity of the reactor modeling, which, historically, was based on infinite assembly depletion calculations.However, in recent years, improved reactor models based on 3D full-core simulations have been developed.This study shows the compromise between the accuracy of the reactor modeling, its numerical costs and the biases implied in a fuel cycle simulation. Fuel cycle ; Fuel efficiency ; Fuel cells ; Greenhouse gas Nuclear Materials and Properties ; Heat transfer and supercritical fluids ; Nuclear reactor physics and engineering