jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Vasilatkhon Abdullaeva
Source: International Journal of Advance Scientific Research (article, 2025-03-01)
Field: Materials Science — General Materials Science

ADVANCEMENTS IN COMPOSITE MATERIALS AND THEIR PROCESSING TECHNIQUES Composite materials have gained significant attention in modern engineering and construction due to their superior mechanical, thermal, and chemical properties compared to conventional materials. These materials, which consist of two or more distinct phases, exhibit enhanced strength, durability, and resistance to environmental factors. The application of composite materials spans various industries, including aerospace, automotive, civil engineering, and biomedical fields. This paper discusses the classification, properties, and advantages of composite materials while emphasizing the significance of advanced processing techniques such as polymerization, curing, and reinforcement integration. The manufacturing processes, including resin transfer molding, vacuum infusion, and additive manufacturing, play a crucial role in determining the final properties of composites. Proper processing techniques ensure improved structural integrity, lightweight characteristics, and cost-effectiveness. Additionally, the environmental sustainability of composite materials is explored, highlighting the need for recycling and eco-friendly production methods. As industries shift toward greener alternatives, research into biodegradable and recyclable composites is gaining momentum. This study underscores the importance of continued innovation in composite material technology and its implications for the future of sustainable engineering. Composite number ; Materials science ; Computer science ; Composite material Material Properties and Applications ; Silicone and Siloxane Chemistry ; Additive Manufacturing and 3D Printing Technologies
Authors: Xiaohui Qiu | Xianrui Wu | Shaohua Wang | Jie Gu | S. C. Ying | Jiayi Mo | Jing Chen | Huiliang Cao | Zhongchang Wang | Jianda Zhou
Source: Advanced Healthcare Materials (article, 2025-06-29)
Field: Materials Science — Biomaterials

Interstitial N‐Strengthened Copper‐Based Bioactive Conductive Dressings Combined with Electromagnetic Fields for Enhanced Wound Healing This study introduces an innovative design and application of a nitrogen-interstitially strengthened Cu-Fe-Zn alloy bioactive dressing, which combines intrinsic bioactivity with electromagnetic stimulation to significantly accelerate wound healing. Interstitial nitrogen solid-solution Cu-Fe-Zn alloys were fabricated by integrating a low-oxygen controlled powder sintering process (N2(10%)/Ar (90%) atmosphere). Subsequent cold drawing generated ultrafine alloy wires (0.04 ± 0.005 mm) with a tensile strength of 1120 MPa, representing a 20.37% enhancement compared with conventional approaches. Utilizing an intelligent jacquard textile system, these Cu-Fe-Zn alloy wires and cotton yarn were woven into coaxial circular dressings tailored to wound morphology, allowing controlled directional current flow while exhibiting excellent biocompatibility and antibacterial properties. A customized electromagnetic coupling system, consisting of an electromagnetic field generator and Helmholtz coils, was developed. Integration with bioactive dressings resulted in a precise, multifunctional therapeutic platform. Electromagnetic stimulation achieved dual therapeutic outcomes: (1) activating the VEGF/p38-HSP27 signaling pathway, significantly enhancing angiogenesis (2.1-fold compared with controls) and promoting M2 macrophage polarization (+25.6%), thereby accelerating tissue regeneration; and (2) inhibiting the IL-17/NF-κB signaling axis, reducing TNF-α expression by 68%, thus effectively suppressing inflammation. This study offers essential technical insights for developing next-generation intelligent electromagnetic wound healing systems with substantial clinical potential. Wound healing ; Materials science ; Copper ; Electrical conductor ; Biomedical engineering ; Electrically conductive ; Nanotechnology ; Composite material ; Medicine ; Surgery ; Metallurgy Electrospun Nanofibers in Biomedical Applications ; Advanced Sensor and Energy Harvesting Materials ; Bone Tissue Engineering Materials
Authors: FU Yunfan | YI Youping | HUANG Shiquan | HE Hailin | DONG Fei
Source: Journal of Mechanical Engineering (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

Study on the Effect of Ultra-low Temperature Compression on the Microstructure of 6061 Aluminum Alloy and Its Deformation Mechanism 摘要： 针对铝合金高温与室温变形过程微观组织易粗化与不均匀难题，通过对6061铝合金在不同温度下压缩变形试验，阐明了变形温度对合金微观组织与性能的影响，结合背向散射电子衍射等技术重点分析了超低温(-196 ℃)变形对合金组织细化规律与机制。试验结果表明，500 ℃高温下合金发生动态再结晶，平均晶粒尺寸约30 μm；20 ℃室温下，变形机制以位错滑移为主，变形在施密特因子大的晶粒内优先发生，导致组织分布不均，平均晶粒尺寸约为8.57 μm；-196 ℃超低温下，回复过程受到显著抑制，位错运动受点缺陷钉扎效应影响明显，同时亚晶界密度增加导致滑移系启动的临界分切应力增大，超低温条件下热激活作用减弱和Peierls力增加共同导致变形抗力显著提升。增强的变形抗力不仅促进了位错滑移的均匀分布，同时形成平直细长的滑移带，产生更大的平均取向差(≥15°)，最终获得平均晶粒尺寸约为1.13 μm的超细晶组织。研究结果为铝合金塑性变形过程中的晶粒细化机制提供了新的理论依据。 Microstructure ; Alloy ; Compression (physics) ; Deformation (meteorology) ; Aluminium ; Mechanism (biology) Microstructure and mechanical properties ; Aluminum Alloys Composites Properties ; Intermetallics and Advanced Alloy Properties
Authors: Boris F. Minaev | Maryna Sukhyna | Pavlo Stakhira | В. А. Минаева | Hans Ågren
Source: Physical Chemistry Chemical Physics (article, 2025-01-01)
Field: Chemistry — Spectroscopy

Unusually high spin–orbit coupling in the methionine singlet–triplet transition and the role of magnetic perturbations in amino acids Forbidden triplet-singlet transitions (T<sub>1</sub> ← S<sub>0</sub>) in a few amino acids (methionine, glycine, tryptophan, cysteine) have been examined for their possible detection. This computational study is based on time-dependent density functional theory (TD-DFT) with spin-orbit coupling (SOC) account. The results of this study indicate that the possibility of detecting the absorption T<sub>1</sub> ← S<sub>0</sub> band is quite high for methionine and cysteine. The results demonstrate that the presence of sulfur in amino acids enhances the SOC effect, increasing the intensity of the singlet-triplet absorptions up to a measurable extinction coefficient. The importance of these SOC effects on the photochemical properties of proteins is emphasized together with the potential role of triplet-singlet transitions in photobiology. Singlet state ; Spin–orbit interaction ; Coupling (piping) ; Methionine ; Chemistry ; Condensed matter physics ; Spin (aerodynamics) ; Amino acid ; Physics ; Orbit (dynamics) ; Triplet state ; Chemical physics ; Materials science ; Atomic physics ; Biochemistry ; Thermodynamics ; Engineering Advanced NMR Techniques and Applications ; Hemoglobin structure and function ; Photoreceptor and optogenetics research
Authors: Luka Geddis Zellmann | Sumner B. Harris | James Scott | Yi-Chieh Yang | Joerg R. Jinschek | Rama K. Vasudevan | Miryam Arredondo
Source: ArXiv.org (preprint, 2025-12-11)
Field: Materials Science — Materials Chemistry

Thermal and Size Effects in Ferroelastic Domains by Machine Learning Ferroelastic domain walls (DWs) underpin key functionalities in complex oxides. In free-standing ferroic thin films, where elastic interactions are highly thickness dependent, understanding DW behaviour across length scales and external stimuli is crucial. A thickness-dependent monopolar-to-dipolar crossover in elastic DW behaviour has been reported; however, how temperature influences this regime remains unexplored. Here, LaAlO3 thin films spanning the dipolar ($&lt;200$ nm) and crossover (200-300 nm) regimes are investigated using in situ heating scanning transmission electron microscopy (STEM) and a machine-learning-driven image analysis approach. By tracking DW curvature and density from above $T_C$ (approximately $550,^\circ$C) to room temperature (RT), a distinct interplay between temperature and thickness is identified. In the dipolar regime, DWs are mobile and curved near $T_C$ and gradually freeze upon cooling, consistent with the well-known temperature freezing regime. In contrast, within the crossover regime, DWs are nearly static, with minimal reconfiguration through cooling and curvature an order of magnitude lower at RT. These results map the evolution of DWs across the thermally driven super-elastic to freezing regimes, revealing how thickness and temperature govern DW morphology and dynamics, and providing insight relevant for domain engineering in free-standing oxide thin films. Curvature ; Crossover ; Thin film ; Transmission electron microscopy ; Thermal ; Domain (mathematical analysis) ; Dipole Ferroelectric and Piezoelectric Materials ; Electronic and Structural Properties of Oxides ; Ferroelectric and Negative Capacitance Devices
Authors: Romas Baronas
Source: Preprints.org (preprint, 2025-05-21)
Field: Chemistry — Electrochemistry

Non-Monotonic Effect of Substrate Inhibition in Conjunction with Diffusion Limitation on the Response of Amperometric Biosensors The non-monotonic behavior of amperometric enzyme-based biosensors under uncompetitive substrate inhibition is investigated computationally using a two-compartment model consisting of an enzyme layer and an outer diffusion layer. The model is based on a system of reaction-diffusion equations that includes a nonlinear term associated with non-Michaelis-Menten kinetics of the enzymatic reaction and accounts for the partitioning between layers. In addition to the known effect of substrate inhibition, where the maximum biosensor current differs from the steady-state output, it has been determined that external diffusion limitations can also cause the appearance of a local minimum in the current. At substrate concentrations greater than both the Michaelis-Menten constant and the inhibition constant, and in the presence of external diffusion limitation, the transient response of the biosensor, after immersion in the substrate solution, may follow a five-phase pattern depending on the model parameter values: it starts from zero, reaches a global or local maximum, decreases to a local minimum, increases again, and finally decreases to a steady intermediate value. The biosensor performance is analyzed numerically using the finite difference method. Michaelis–Menten kinetics ; Biosensor ; Uncompetitive inhibitor ; Substrate (aquarium) ; Diffusion ; Steady state (chemistry) ; Chemistry ; Monotonic function ; Amperometry ; Thermodynamics ; Analytical Chemistry (journal) ; Chromatography ; Electrode ; Enzyme assay ; Mathematics ; Enzyme ; Non-competitive inhibition ; Physics ; Mathematical analysis ; Electrochemistry ; Biochemistry ; Physical chemistry Electrochemical Analysis and Applications ; Molecular Junctions and Nanostructures ; Advanced Fluorescence Microscopy Techniques
Authors: Izabela Świetlicka | Eliza Janek | Krzysztof Gołacki | Dominika Krakowiak | Michał Świetlicki | Marta Arczewska
Source: International Journal of Molecular Sciences (article, 2025-10-02)
Field: Materials Science — Biomaterials

Potential Modulatory Effects of β-Hydroxy-β-Methylbutyrate on Type I Collagen Fibrillogenesis: Preliminary Study β-Hydroxy-β-methylbutyrate (HMB), a natural metabolite derived from the essential amino acid leucine, is primarily recognised for its anabolic and anti-catabolic effects on skeletal muscle tissue. Recent studies indicate that HMB may also play a role in influencing the structural organisation of extracellular matrix (ECM) components, particularly collagen, which is crucial for maintaining the mechanical integrity of connective tissues. In this investigation, bovine type I collagen was polymerised in the presence of two concentrations of HMB (0.025 M and 0.25 M) to explore its potential function as a molecular modulator of fibrillogenesis. The morphology of the resulting collagen fibres and their molecular architecture were examined using atomic force microscopy (AFM) and Fourier-transform infrared (FTIR) spectroscopy. The findings demonstrated that lower levels of HMB facilitated the formation of more regular and well-organised fibrillar structures, exhibiting increased D-band periodicity and enhanced stabilisation of the native collagen triple helix, as indicated by Amide I and III band profiles. Conversely, higher concentrations of HMB led to significant disruption of fibril morphology and alterations in secondary structure, suggesting that HMB interferes with the self-assembly of collagen monomers. These structural changes are consistent with a non-covalent influence on interchain interactions and fibril organisation, to which hydrogen bonding and short-range electrostatics may contribute. Collectively, the results highlight the potential of HMB as a small-molecule regulator for soft-tissue matrix engineering, extending its consideration beyond metabolic supplementation towards controllable, materials-oriented modulation of ECM structure. Extracellular matrix ; Fibril ; Anabolism ; Type I collagen ; Atomic force microscopy ; Connective tissue ; Matrix (chemical analysis) ; Metabolite Collagen: Extraction and Characterization ; Protein Hydrolysis and Bioactive Peptides ; Bone and Dental Protein Studies
Authors: Tian Ma | Yizu Zou | Zihao Chen | Iqra Afzal | Doudou Wang | Depeng Kong | Ma Li | Jun Li
Source:  (preprint, 2025-04-21)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Resonant chiroptical effects in all-dielectric metasurface with monoclinic lattices for terahertz sensing applications Over recent years, chiral metasurfaces have emerged as pivotal platforms for ultrasensitive biosensing, particularly in detecting and identifying chiral biochemical samples. However, the excitation of chiroptical responses in conventional chiral metasurfaces predominantly rely on intricate asymmetric meta-atoms or elaborate geometric configurations, which complicate fabrication process and limit scalability. Here, we report an all-dielectric chiral metasurface consisting of an array of circular air-hole in monoclinic lattice. By breaking in-plane mirror symmetries through introducing side-length differences δ and changing lattice angle θ, the proposed metasurface achieves strong intrinsic chirality, yielding an enhanced circular dichroism (CD) signal with a simulated peak value of 0.89 at 0.254THz and a quality factor of ~50.4. Theoretical analyses of induced electromagnetic fields reveal that the observed chiroptical responses originate from spin-selective multipole excitations and localized field enhancements, where the left-handed circularly polarized (LCP) waves exhibit significantly stronger optical chirality (C_E=251) than that of the right-handed circularly polarized (RCP) waves. Experimental validations based on the fabricated sample and terahertz characterization confirm the excitation of resonant CD signals with peak value of ~0.52 around 0.25THz. Furthermore, we demonstrate practical biosensing capabilities of the proposed chiral metasurface by detecting bovine serum albumin (BSA) samples with different concentrations, which manifests good sensing performances including high sensitivity (0.023(mg/mL)^(-1)) and wide detection range (0.3-50 mg/mL). This work paves a new avenue for designing chiral metasurfaces with simple structures but high-performance, advancing practical applications in label-free biosensing and chiral nanophotonics. Monoclinic crystal system ; Terahertz radiation ; Dielectric ; Materials science ; Optoelectronics ; Optics ; Physics ; Molecule ; Quantum mechanics Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Quantum Mechanics and Non-Hermitian Physics
Authors: Maisa M. A. Mansour | Waleed Khalifa
Source: Scientific Reports (article, 2025-10-07)
Field: Materials Science — Metals and Alloys

Leaking of 316L stainless steel heat exchanger tubes in carbon dioxide process This study covered a premature leaking of stainless steel 316L heat exchanger tubes. Leaking occurred in a cooling process of carbon dioxide gas mixture from 140 to 55°C. Several leaks were observed after short service life of 70 days. A systematic investigation of the rapid degradation was achieved through a multi-angle approach backed by comprehensive analytical techniques: including visual inspection, optical microscopy, SEM/EDS, and chemical analysis. In addition, valuable insights were obtained from the dew point modeling of condensed acids. The key finding and novelty of this study is the identification of the synergistic dew point corrosion by HCl and HF, and its role in tube damage. Recommendations for higher performance alloys were addressed as well. The insights and understanding presented in this work are believed to be of significant value for both academic and industrial readers. Heat exchanger ; Carbon dioxide ; Dew point ; Corrosion ; Process (computing) ; Carbon steel ; Dew Hydrogen embrittlement and corrosion behaviors in metals ; Metallurgical Processes and Thermodynamics ; Nuclear Materials and Properties
Authors: S.M.M. Ramos | Victor Fabre | Mathieu Arribat | Aurélie Lecestre | Adrian Laborde | Frank Carcenac | P. Louarn | Emmanuelle Trévisiol | Christophe Vieu
Source: Micro and Nano Engineering (article, 2025-08-10)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Nanofabrication of superhydrophobic fluidic concentrators coupled with metallic plasmonic nano-antennas for SERS analysis in the sub-femtomolar range Self-assembled silicon nanopillars decorated with metallic nanoparticles have emerged as efficient Surface Enhanced Raman Spectroscopy (SERS) substrates. In this study, we combine black Silicon Reactive Ion Etching-Inductively Coupled Plasma (RIE-ICP) and thin film deposition of Silver (Ag) to produce this type of surface equipped with plasmonic nano-antennas. The paper describes a quantitative methodology for optimizing the fabrication process of such silicon SERS supports and specifically the determination of the nominal thickness of the Ag thin film, that upon fragmentation at the surface of the black‑silicon nanopillars, forms Ag nanoparticles capable of enhancing the local electromagnetic field. This parameter is crucial for tuning the surface density of generated hot spots on the surface and their electromagnetic enhancement factors. We propose a methodology based on the generation of hierarchical superhydrophobic fluidic concentrators and the development of a home-made algorithm for analyzing SERS spectra of Rhodamine B (RhB) solution at sub-femtomolar concentrations. The developed hierarchical clustering algorithm automatically selects from all the spectra acquired on the region of interest, the surface enhanced spectra containing at least three vibrational Raman signatures of RhB. The objective criterion for optimizing the fabrication process or for evaluating the performance of any SERS substrate is then simply the total number of RhB spectra finally retained by the algorithm. We detail the fabrication processes, the algorithmic method and through its experimental implementation we show how to tune the parameters of the algorithm for selecting the optimal Ag thin-film thickness. • Superhydrophobic fluidic concentrators equipped with silicon nanopillars decorated with Ag nanoparticles are nanofabricated • A dedicated algorithm of SERS spectra treatment is described • The fluidic concentrator adapted for SERS analysis is used for optimizing the fabrication process Plasmon ; Nanotechnology ; Nanolithography ; Fluidics ; Materials science ; Nano- ; Optoelectronics ; Fabrication ; Engineering ; Aerospace engineering ; Composite material Gold and Silver Nanoparticles Synthesis and Applications ; Biosensors and Analytical Detection ; Electrohydrodynamics and Fluid Dynamics
Authors: Jun W. Kim | Russ B. Altman
Source: Bioinformatics (article, 2025-07-01)
Field: Materials Science — Materials Chemistry

Semi-supervised data-integrated feature importance enhances performance and interpretability of biological classification tasks Code and models for our experiments are available at https://github.com/junwkim1/DIFI. Interpretability ; Weighting ; Feature (linguistics) ; Computer science ; Artificial intelligence ; Similarity (geometry) ; A priori and a posteriori ; Machine learning ; Relevance (law) ; Data mining ; Pattern recognition (psychology) Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Machine Learning in Bioinformatics
Authors: Alexis Cooper | Anand Bala Subramaniam
Source: Biophysical Journal (article, 2025-02-01)
Field: Chemistry — Physical and Theoretical Chemistry

BPS2025 - Polymer-assisted assembly of cell-mimetic giant vesicles in physiological ionic solutions Ionic bonding ; Vesicle ; Biophysics ; Chemistry ; Polymer ; Nanotechnology ; Lipid vesicle ; Polymer science ; Chemical engineering ; Materials science ; Biology ; Biochemistry ; Membrane ; Ion ; Organic chemistry ; Engineering thermodynamics and calorimetric analyses
Authors: N Puneeth
Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (article, 2025-05-14)
Field: Chemistry — Analytical Chemistry

Development Of AI-MI Based Models for Predicting Prices of Agri-Horticultural Commodities Abstract : The Vegetable Price Prediction project aims to develop a reliable predictive model to predict vegetable prices based on crucial seasonal, weather, and crop health data. As vegetable price is a top concern for farmers, suppliers, and consumers with volatile vegetable prices, accurate price predictions can facilitate informed decision-making for stakeholders. This project makes use of historical data like vegetable kind, season of growth, month, temperature, recent calamity occurrences, state of vegetable, and other variables that affect the price per kilogram to predict the price per kilogram. Utilizing advanced machine learning algorithms ARIMA, LSTM, XGBoost, Linear Regression and Hybrid Algorithms we aim to identify complex patterns and time dependencies in the data to make the prediction. Each algorithm has a strength: ARIMA for time series, LSTM for long-range dependencies, XGBoost for performance, and Linear Regression for simplicity and interpretability. The results of the model will be verified for effectiveness and accuracy, making strong predictions in different scenarios. Keywords: Machine Learning Models, ARIMA, LSTM (Long Short-Term Memory), XGBoost, Linear Regression, Hybrid Algorithms. Economics Spectroscopy and Chemometric Analyses