jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Edgar Perin Moraes | Rodrigo César Santiago | Fábio Henrique Pereira | PETRUCIA DUARTE DA S MEIRELES | Natália Eduarda de Almeida Silva | G Campos | B.L.S. Costa | Glauco Soares Braga | EDUARDO JORGE DA C LINS | Júlio Cézar de Oliveira Freitas
Source: Revista Contemporânea (article, 2025-10-23)
Field: Materials Science — Ceramics and Composites

OTIMIZAÇÃO DO ESTADO FLUIDO DE BLENDAS CIMENTÍCIAS PARA POÇOS DE ALTA TEMPERATURA USANDO METODOLOGIA DE SUPERFÍCIE DE RESPOSTA O desenvolvimento de pastas cimentícias para aplicação em poços de alta temperatura, como poços de injeção de vapor e geotérmicos, enfrenta desafios críticos devido às condições extremas de temperatura e pressão. Neste contexto, é necessário otimizar a reologia das pastas para garantir sua integridade e desempenho. Apesar das formulações avançadas, ainda há uma lacuna no entendimento da interação entre aditivos e substituições minerais nas blendas em pastas no estado fluido. Este estudo teve como objetivo otimizar a formulação de blendas cimentícias utilizando a Metodologia de Superfície de Resposta (MSR), analisando o efeito da substituição da sílica cristalina (SF) por adições minerais, como a cinza de casca de arroz (CCA) e o resíduo industrial da produção de argamassa (RIPA), sobre o estado fluido das pastas. Foram otimizados os parâmetros utilizando MSR, com o objetivo de maximizar a desejabilidade reológica das pastas. Os fatores analisados incluíram as proporções de SF, CCA, RIPA, além da concentração do aditivo superplastificante Glenium 51. As respostas avaliadas foram a reologia, força gel e água livre, em diferentes condições de temperatura (27°C e 52°C). A substituição de SF por CCA e RIPA apresentou resultados promissores na melhora da viscosidade plástica e redução da água livre. O modelo de Regressão de Vetores de Suporte (SVR) mostrou melhor desempenho, com um R² de 0,9771. A desejabilidade máxima foi obtida com 11% de CCA e 32% de RIPA. A MSR permitiu identificar as combinações ideais de fatores que otimizaram a reologia das blendas para aplicação em poços de alta temperatura. Materials testing ; Qualitative analysis ; Load bearing Advanced ceramic materials synthesis ; Graphite, nuclear technology, radiation studies ; Material Selection and Properties
Authors: Zhihao Chen | Renxian Gao | Yongjun Zhang | Yaxin Wang | Jiahong Wen | Wenbin Chen | Xurong Lin | Ming-De Li | Xiaoyu Zhao
Source: Nano Research (article, 2025-12-12)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Polarization-controlled tri-state optical modulation in Au–ITO heterostructured metasurfaces via plasmon-induced hot electron injection Metal-semiconductor plasmonic metasurfaces enable precise optical field manipulation at the subwavelength scale; however, most existing designs rely on external fields and exhibit only binary responses, thereby restricting the realization of multistate logic operations. Here, we present an in-situ polarization-controlled approach based on an Au-ITO bilayer nanocrescent with a Schottky heterojunction for achieving polarization-dependent tristate optical modulation. Polarization-selective excitation of distinct localized plasmon modes facilitates directional hot-electron injection across the Au-ITO interface, thereby producing three distinct programmable states-positive, zero, and negative-at a single detection wavelength. This symmetric bilayer design is applicable to other metal-semiconductor composites and offers generalizable design principles for ternary logic, multistate optical encoding, and ultrafast photonic information processing. The proposed concept is validated through both experimental measurements and numerical simulations. Plasmon ; Realization (probability) ; Ternary operation ; Bilayer ; Ultrashort pulse ; Photonics ; Heterojunction ; Modulation (music) Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Neural Networks and Reservoir Computing
Authors: Ilian Pihlajamaa | Teunike A. van de Pol | Liesbeth M. C. Janssen
Source: Physical review. E (article, 2025-11-25)
Field: Materials Science — Materials Chemistry

Fundamental measure theory for predicting many-body correlation functions We study many-body correlation functions within various Fundamental Measure Theory (FMT) formulations and compare their predictions to Monte Carlo simulations of hard-sphere fluids. FMT accurately captures the qualitative behavior of three- and four-body structures, particularly at low and intermediate wave vectors. At higher wave vectors, the predictions of FMT vary in quantitative accuracy. We show that the dominant contributions to the four-point structure factor arise from direct triplet correlations, allowing the evaluation of four-point correlations to be greatly simplified. In glass-forming liquids at high volume fractions, FMT correctly reproduces deviations from the convolution approximation, highlighting FMT's ability to capture growing structural multipoint correlations upon supercooling. Measure (data warehouse) ; Monte Carlo method ; Convolution (computer science) ; Correlation ; Correlation function (quantum field theory) ; Wave function Material Dynamics and Properties ; Phase Equilibria and Thermodynamics ; Theoretical and Computational Physics
Authors: Masahiko Nakase | Sou WATANABE | Yuichi Sano | Masayuki Takeuchi
Source: Progress in Nuclear Science and Technology (article, 2025-09-30)
Field: Chemistry — Spectroscopy

A Novel Computational Framework for Extraction Chromatography Calculation: ANSYS Fluent Coupled with Python Extraction chromatography is practical for small-scale, high-level separations.Numerical simulation can help find an appropriate operational condition when scaling up and designing a separation flowsheet.The simulation can also be applied to safety analysis, such as the transient situation of the flow stop.However, parameter fitting requires iterative calculation attempts and many varied parameters sometimes cause errors and mistakes.Therefore, we have developed an environment that enables efficient and iterative calculations by connecting ANSYS Fluent and Python using the PyFluent module on Jupyter Notebook.This development promises a more efficient future for the technology, making the audience feel optimistic about its potential. Python (programming language) ; Fluent ; Computational fluid dynamics ; Extraction (chemistry) Analytical Chemistry and Chromatography
Authors: Ali Mostafa Anwara | Akewak Jeba | Leo Lahti | Eleanor T. Coffey
Source: Bioinformatics (article, 2025-10-10)
Field: Chemistry — Spectroscopy

LimROTS: a hybrid method integrating empirical Bayes and reproducibility-optimized statistics for robust differential expression analysis LimROTS has been implemented as an R/Bioconductor package, available at https://doi.org/doi:10.18129/B9.bioc.LimROTS. Additionally, the code used in this study is available in GitHub repository https://github.com/AliYoussef96/LimROTSmanuscript. Bayes' theorem ; Source code ; Code (set theory) ; Differential (mechanical device) ; Software ; Expression (computer science) Advanced Proteomics Techniques and Applications ; Bioinformatics and Genomic Networks ; Gene expression and cancer classification
Authors: Brooke Ballenger | Kirk Miller | Thomas Borch | Jason C. Quinn
Source: Research Square (preprint, 2025-07-31)
Field: Materials Science — Materials Chemistry

A techno-economic analysis and life cycle assessment of woody biochar as an additive for orphan well plugging Biochar ; Life-cycle assessment ; Economic analysis ; Environmental science ; Agroforestry ; Pulp and paper industry ; Natural resource economics ; Agricultural economics ; Waste management ; Economics ; Engineering ; Pyrolysis ; Production (economics) Graphite, nuclear technology, radiation studies ; Recycling and Waste Management Techniques ; Concrete and Cement Materials Research
Authors: Zhang Yongli | Wang Meipan | Yang Guanghui | Jian Li | Zhu Guangfei | Shi Jianfang | Han Tailin | Liu Xuan
Source: International journal of agricultural and biological engineering (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

Optical simulation model of the diffuse reflectance near-infrared spectroscopy for predicting fresh maize quality The optical properties of fresh maize tissues determine how light interacts with fresh maize cobs, which in turn affects the measured spectral signals and model accuracy. In this paper, a simulation model was developed to invert the optical properties of fresh maize cobs and evaluate the effects of different optical layouts on the accuracy of modeling predictions. First, the uniformity of detector irradiation at various distances (10 mm, 20 mm, 30 mm, 40 mm, 50 mm) and angles (30°, 45°, 60°) with different optical properties was analyzed using optical simulation methods. Then, the spectra of fresh maize cobs were collected at different light source angles and detection distances, and the spectral area polarization was calculated. Finally, the optical properties of the cob were estimated by establishing a link between irradiation uniformity and spectral area polarization, which resolved the distribution of light flux in edible maize cobs under different optical structures. The results show that the model of light transport mimicking the organizational structure of maize cob has been successfully simulated. The estimated optical properties of the cob are: absorption A=37%, transmission T=20%, and diffuse reflectance D=40%. This verifies that the accuracy and precision of the prediction model for the water content of fresh maize are best achieved under an optical structure with a detection distance of 40 mm and a light source angle of 45°. The establishment of the simulation model provides theoretical support for near-infrared detection of the intrinsic quality of fresh maize. Key words: fresh maize cob; optical properties; Monte Carlo simulation; diffuse reflectance spectrum; optical structure DOI: 10.25165/j.ijabe.20251806.9484 Citation: Zhang Y L, Wang M P, Yang G H, Li J, Zhu G F, Shi J F, et al. Optical simulation model of the diffuse reflectance near-infrared spectroscopy for predicting fresh maize quality. Int J Agric & Biol Eng, 2025; 18(6): 250–259. Monte Carlo method ; Spectroscopy ; Diffuse reflection ; Diffuse reflectance infrared fourier transform ; Absorption (acoustics) ; Optical phenomena ; Polarization (electrochemistry) ; Detector Spectroscopy and Chemometric Analyses ; Optical Imaging and Spectroscopy Techniques ; Water Quality Monitoring and Analysis
Authors: Anirban Ghosh | Chandan Adhikary
Source: International Journal For Multidisciplinary Research (article, 2025-06-06)
Field: Chemistry — Physical and Theoretical Chemistry

Theoretical Foundations Underpinning Effective Remediation of Misconceptions in Chemistry Students frequently struggle with persistent misconceptions in chemistry that impede their academic progress and conceptual understanding. This research paper reviews the theoretical foundations of major models that inform effective remedial measures in chemistry education. It investigates the Mastery Learning Model, which advocates for achieving competency before progression, the Cognitive Diagnostic Model, which identifies specific cognitive strengths and weaknesses; the Conceptual Change Model, which focuses on replacing incorrect preconceptions with scientifically accurate ones; and the Diagnostic Classification Model, which categorizes learner profiles for targeted instruction. Using insights from these theories, the paper highlights how a theoretical approach can enhance remediation strategies and promote meaningful learning in chemistry. Underpinning ; Environmental remediation ; Chemistry ; Engineering ethics ; Nanotechnology ; Earth science ; Epistemology ; Biochemical engineering ; Environmental chemistry ; Engineering ; Philosophy ; Materials science ; Geology ; Ecology ; Biology ; Civil engineering ; Contamination Various Chemistry Research Topics ; History and advancements in chemistry
Authors: Zhenhuan Lai | WU Qi-xing
Source:  (article, 2025-06-13)
Field: Materials Science — Materials Chemistry

Safety Assessment of Civil Engineering Structures Based on Computer Algorithms This paper conducts an in-depth study on the safety of civil engineering structures, and uses neural network algorithms in computer algorithms to construct a structural safety assessment model based on the collection of bridge stress, strain, displacement and other data. In the research process, the system architecture and model construction, model training and optimization, application, etc. are carried out. Experiments have shown that the system can accurately predict the health of the structure, and the health score can be reduced from 90 to 75 under wind load conditions, but can be increased to 85 points based on timely maintenance. This shows that the application of computer algorithms in the safety assessment of civil engineering structures is of great significance, which can effectively improve the accuracy and timeliness of monitoring and evaluation. Computer science ; Algorithm Structural mechanics and materials ; Structural Response to Dynamic Loads ; Engineering Diagnostics and Reliability
Authors: J. Silva | Ines Brosso
Source: Aplicações Operacionais em Áreas de Defesa (article, 2025-09-23)
Field: Chemistry — Spectroscopy

Quantum Remote Sensing Applied to National Defense This work presents a study on quantum remote sensing applied to national defense using RADAR (Radio Detection and Ranging) and LIDAR (Light Detection and Ranging) technologies, which can be adopted in metrology and remote sensing processes, capable of detecting and intercepting targets in a given coverage area. In this context, the work presents a bibliographic research addressing concepts, principles of quantum mechanics, basic configurations, methods of photon entanglement, projects, experiments, and potential applications of RADAR and LIDAR systems, highlighting advantages and aspects, such as speed, greater precision, lower cost, greater security guarantee, higher sensitivity, and resolution of quantum remote sensing operation, as well as associated challenges: photon loss, technical difficulties, the phenomenon of decoherence, sensitivity to noise, and the need for integration of quantum remote sensing systems with quantum error correction modules. Quantum sensor ; Radar ; Lidar ; Quantum metrology ; Metrology ; Quantum ; Sensitivity (control systems) ; Wave radar Spectroscopy and Laser Applications ; Spectroscopy Techniques in Biomedical and Chemical Research ; Ocular and Laser Science Research
Authors: Himanshu Pandey | Tzu-Chen Ma | Eric Bonventre | Luke M. Rice | Larisa Gheber | William O. Hancock
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-09-26)
Field: Chemistry — Spectroscopy

Dimeric Cin8 motors have an inherent plus-end bias and weak inter-head coordination Kinesin-5 motors are bipolar tetramers that crosslink and slide antiparallel microtubules during mitotic spindle assembly. Fungal kinesin-5 motors, such as Cin8, exhibit bidirectional motility, switching between minus- and plus-end-directed stepping in response to environmental conditions; however, the molecular basis of this directional switching remains unclear. To better understand the origin of this bidirectional behavior, we investigated the motility and ATPase kinetics of two Cin8 dimers, created by fusing the motor domains to a stable coiled-coil domain from kinesin-1. To investigate the role of the proximal neck coiled-coil region in coordinating motor activity, we compared Cin8 dimers that included or lacked the first four heptads of the Cin8 neck-coil domain. By analyzing the stepping kinetics, microtubule residence times, and directional switching dynamics, we found that these Cin8 dimers move processively with a net plus-end directionality along with undirected movements, behaviors that mimic the plus-ended motility state of wild-type Cin8. However, fast minus-ended motility seen in wild-type Cin8 tetramers was not observed in the dimers. The instantaneous velocity distributions and ATPase rates were inconsistent with the undirected movement being solely due to passive diffusion, suggesting that they reflect random bidirectional stepping. Fewer undirected movements were seen on yeast microtubules, their native physiological substrate, compared to on bovine microtubules. Replacing the Cin8 neck-coil domain with a stable coiled-coil led to faster plus-end stepping, fewer undirected movements, a reduction in the microtubule binding duration, and enhanced coupling between ATP hydrolysis and plus-end stepping. Our results suggest that the native Cin8 neck coil confers flexibility between the two motor domains that contributes to bidirectional stepping, and that sustained minus-end movement requires regions outside the motor domain. ATP hydrolysis ; Molecular motor ; Motor protein ; Motility ; Kinesin ; Directionality ; Microtubule ; Coiled coil Advanced NMR Techniques and Applications ; Magnetism in coordination complexes ; Magnetic properties of thin films
Authors: Apoorva Dwivedi | Aseem Chandra Tiwari
Source: International Journal of Environmental Sciences (article, 2025-09-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Enhancing Thermal Performance of Active Magnetic Regenerator with Water-Based Nanofluid: A Simulation Study Numerical modelling was carried out to examine how dispersing copper-oxide (CuO) nanoparticles in water alters the thermal performance of active magnetic regenerator (AMR) that employs gadolinium (magnetocaloric material) as parallel plates. A two-dimensional, time-dependent COMSOL Multiphysics model simulated two working-fluid cases—pure water (0 vol %) and a 1 vol % CuO–water nanofluid—while keeping the Reynolds number and applied magnetic field identical. Thermophysical properties were obtained from empirically derived correlations in Engineering Equation Solver, reducing computational overhead. Results show that the CuO suspension widens the attainable temperature span across the AMR by roughly 0.8 K and boosts the cycle-averaged coefficient of performance (COP) by about 5 % compared with the baseline water case. The combination of an enhanced working fluid and high-conductivity copper end exchangers promotes more efficient heat exchange between the gadolinium plates and the fluid, thereby improving both temperature span and efficiency. These findings underscore the value of thermally upgraded coolants in magnetic refrigeration and demonstrate a practical simulation framework for optimizing future AMR designs. Nanofluid ; Regenerative heat exchanger ; Materials science ; Thermal ; Thermodynamics ; Physics ; Heat exchanger Magnetic and transport properties of perovskites and related materials ; Advanced Thermodynamics and Statistical Mechanics
Authors: Lianheng Cai | Yi Huang | Rui Guo | Muye Yang
Source: Industrial Construction (article, 2025-10-01)
Field: Materials Science — Materials Chemistry

Durability of CFRP in Marine Environments and Corrosion Acceleration When Galvanically Coupled to Mild Steel In marine environments， clarifying both the durability of CFRP and its galvanic behavior when coupled with carbon steel is critical for engineering practice. Galvanic interaction accelerates steel corrosion， and CFRP’s long-term performance hinges on the stability of its barrier and interfacial adhesion. In this study， specimens with original surface （OS）， bare surface （BS）， and peel-ply （PPS） surface， as well as cross-sections， underwent water immersion and cyclic-corrosion accelerated ageing. Electrochemical characterization quantified CFRP durability evolution and galvanic acceleration on steel. The results showed that aged CFRP exhibited only mild degradation while retaining a barrier function. Specifically， low-frequency impedance and interfacial charge-transfer resistance decreased without spanning an order of magnitude， whereas the constant-phase element increased and the phase angle decreased； cyclic corrosion was more detrimental than water immersion. An open-circuit potential difference of approximately 800 to 900 mV between steel and CFRP provided a strong driving force for galvanic corrosion. Polarization curves and mixed-potential analysis indicatd that galvanic coupling increased the steel corrosion rate by about 4.6~23.3 times. By reducing fiber exposure and electrical connectivity while preserving a resin-rich layer， PPS surface treatment effectively suppressed galvanic corrosion and enhanced interfacial adhesion， whereas the cross-section was the most vulnerable region to galvanic acceleration. Galvanic cell ; Durability ; Corrosion ; Galvanic corrosion ; Polarization (electrochemistry) ; Electrochemistry ; Carbon steel Corrosion Behavior and Inhibition ; Fiber-reinforced polymer composites ; Mechanical Behavior of Composites
Authors: Xingyi Li | Peixuan Wu | Yuan-Yuan Xing | Peng Shi | Xiayuan Yao | Yaoguang Ma
Source: Photonics (article, 2025-10-16)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Design Methodology of a VIS Hybrid Refractive–Metalens System with a Wide FOV The emergence of metalenses has opened new possibilities for miniaturizing optical systems. However, the limited group delay provided by meta-atoms restricts their aperture size under broadband operation. This challenge has stimulated the development of hybrid refractive–metalens systems, which overcome the performance limitations of individual metalenses while achieving a more compact form factor than conventional refractive lens assemblies. Here, we propose a design methodology for hybrid lenses that combines ray tracing with full-wave simulation. We analyze key aspects of the metalens within the hybrid system for a wide wavelength band—specifically, dispersion and transmission efficiency. Based on this approach, we designed a high-resolution hybrid lens operating in the 435–656 nm visible band with a 35° field of view. The results demonstrate that the proposed lens achieves imaging performance equivalent to that of conventional refractive systems while reducing the total track length by 29%. This validates the effectiveness of our design method, indicating its strong potential for application in compact and lightweight optical systems. Lens (geology) ; Broadband ; Ray tracing (physics) ; Aperture (computer memory) ; Dispersion (optics) ; Systems design ; Transmission (telecommunications) ; Key (lock) Metamaterials and Metasurfaces Applications ; Optical Coatings and Gratings ; Thermal Radiation and Cooling Technologies
Authors: Aslı Karakaşlı | Ümit Görkem | Cihan Toğrul | Engin Yıldırım | Dursun Ali Köse | Ömer Yurdakul
Source: Journal of Turkish Society of Obstetric and Gynecology (article, 2025-09-02)
Field: Materials Science — Materials Chemistry

Non-invasive diagnosis of endometrioma through cervical swabs using Fourier transform infrared spectroscopy FTIR spectroscopy of cervical swab samples revealed distinctive biochemical profiles in women with endometriomas, particularly related to carbon dioxide and carbohydrate metabolism. These data suggest that FTIR analysis, which is rapid and minimally invasive, holds promise for the future development of non-invasive diagnostic strategies for endometrioma. However, larger multicenter studies that include surgical confirmation and disease staging are needed to establish its clinical utility definitively. Fourier transform infrared spectroscopy ; Infrared ; Fourier transform spectroscopy ; Spectroscopy ; Fourier transform ; Medicine ; Analytical Chemistry (journal) ; Optics ; Chemistry ; Physics ; Chromatography ; Astronomy Solid-state spectroscopy and crystallography