jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Evgeniy G. Kiselev | Aleksey V. Demidenko | Tatiana G. Volova
Source: Plasticheskie massy (article, 2025-07-23)
Field: Materials Science — Biomaterials

Change in molecular and thermal characteristics of thermoplastic biodegradable copolymer in FDM process The results of studies and changes in the molecular weight and thermal properties of the thermoplastic copolymer of microbiological origin 3-hydroxybutyrate-co-3-hydroxyvalerate P(3HB-co-3HV) in a multi-stage process, including repeated melting of the copolymer to obtain pellets, extrusion production of filaments and 3D printing itself, are presented. In the process of obtaining granulate, filaments and FDM 3D printing of three-dimensional samples, a minor change in temperature characteristics was recorded, including melting and thermal destruction temperatures, crystallization and glass transition, as well as a noticeable decrease in molecular weight (by 35 %). The recorded changes in the molecular weight and temperature characteristics of the P(3HB-co-3HV) copolymer during processing made it possible to obtain fi laments for 3D printing and print 3D samples whose parameters correspond to those for bone-plastic materials and products. Copolymer ; Thermoplastic ; Process (computing) ; Materials science ; Thermal ; Polymer science ; Composite material ; Computer science ; Polymer ; Thermodynamics biodegradable polymer synthesis and properties ; Additive Manufacturing and 3D Printing Technologies ; Microplastics and Plastic Pollution
Authors: Dario Gravina | S. Oterkus | E. Oterkus
Source: Sustainable Marine Structures (article, 2025-12-24)
Field: Materials Science — Metals and Alloys

Finite Element Modelling of Hydrogen Embrittlement by Considering Hydrogen Coverage Boundary Conditions In this study, an alternative modelling approach for absorbed hydrogen stress corrosion cracking (SCC) is proposed, with hydrogen-enhanced decohesion (HEDE) identified as the key failure mechanism. All analyses have been performed by utilising only ABAQUS standard elements, COH2D4T and CPE4T, already available within the software and without the need to develop external subroutines. The study also tends to highlight the criticality of implementing a correct Traction Separation Law (TSL) curve to simulate the hydrogen diffusion within the specimen and using the concept of dynamic hydrogen penetration by continuously updating the hydrogen concentration boundary conditions as the crack propagates. In conclusion, this study successfully demonstrated that standard software elements (COH2D4T and CPE4T) can effectively model physical problems and crack velocity propagation without custom subroutines. It emphasized that while the specific shape of the Traction-Separation Law (TSL) is less critical, its correct implementation is vital for simulating dynamic hydrogen coverage. Crucially, excluding this dynamic coverage—a common practice—risks significantly underestimating crack propagation speed. Although results incorporating dynamic coverage aligned well with experimental data, minor discrepancies are likely due to unmodeled factors like material property variations, hydrogen trapping, temperature, and granular microstructure, which are proposed for future research. Hydrogen embrittlement ; Hydrogen ; Finite element method ; Boundary value problem ; Cracking ; Stress corrosion cracking ; Corrosion ; Fracture mechanics Hydrogen embrittlement and corrosion behaviors in metals ; Material Properties and Failure Mechanisms ; Mechanical Failure Analysis and Simulation
Authors: Hasan Caglar | David Ayre | Andrew R. Mills | Yigeng Xu | Martin Skote
Source: Aerospace (article, 2025-09-02)
Field: Materials Science — General Materials Science

A Review of Polymer Composites and Adhesives for Aircraft Landing Gear Applications This review paper explores the transformative potential of polymer composites and adhesives in reducing the weight of aircraft landing gear, thereby improving fuel efficiency and lowering emissions. The replacement of conventional metallic materials and mechanical fastenings with advanced thermoset/thermoplastic composites and adhesives can significantly enhance durability and performance in demanding operational environments. Unlike traditional fastening methods, the structural adhesives eliminate the weight penalties associated with mechanical fasteners, offering a lighter and more reliable solution that meets the rigorous demands of modern aerospace engineering. Furthermore, the review highlights a variety of manufacturing techniques and innovative materials, including bio-based polymers, self-healing materials, noobed composites, helicoid composites, and hybrid composites. The use of thermosets and vitrimers in adhesive bonding are presented, illustrating their ability to create robust and durable joints that enhance the structural integrity of landing gear systems. The paper also addresses current challenges, including recycling limitations and high material costs. Sustainability considerations, including the integration of self-healing materials, structural health monitoring systems, and circular economy principles, are discussed as essential for aligning the aerospace sector with global climate goals. Landing gear ; Adhesive ; Composite material ; Materials science Material Properties and Applications ; Mechanical Engineering and Vibrations Research ; Mechanical Failure Analysis and Simulation
Authors: Jakub Bańczerowski | Marek Pawlikowski
Source: Advances in Science and Technology – Research Journal (article, 2025-07-31)
Field: Materials Science — General Materials Science

Numerical and experimental analysis of thermoplastic deformation in pure titanium using the anand model for biomedical implant design This study used the Anand constitutive model to predict how commercially pure Grade 2 titanium behaves during thermoplastic deformation, with the goal of making it more suitable for load-bearing medical implants.Although titanium alloys like Ti6Al4V are commonly used in implants, there are concerns about the release of toxic ions, which encourages the search for safer options like pure titanium.To strengthen pure titanium, this research focused on thermo-mechanical processing (TMP).The study combined experimental compression tests (conducted at 400-600 C and strain rates of 0.01-1.0s -1 ) with computer simulations based on the Anand model.The model can describe important material behaviours, such as strain hardening, dynamic recovery, as well as sensitivity to temperature and strain rate.Originally developed for soft metals, the Anand model was successfully adapted to pure titanium and showed high accuracy in predicting material behaviour at elevated temperatures and moderate strain rates.Some prediction errors at 400 C were likely due to incomplete dynamic recrystallisation.The best fit of the studied model to the experimental results was achieved for the temperature 600 C and strain rate 0.01 s -1 with adjusted R-square equal 0.988 and root mean square error equal 3.941.The model was further tested under specific conditions (450 C, 550 C, strain rate of 0.5 s -1 ) and achieved flow stress prediction errors below 8%.In summary, this work provides a reliable and efficient tool for optimising TMP processes, reducing the need for costly trial-and-error methods, and supporting the production of patient-specific implants made from pure titanium. Deformation (meteorology) ; Titanium ; Materials science ; Implant ; Composite material ; Thermoplastic ; Structural engineering ; Mechanical engineering ; Engineering ; Medicine ; Metallurgy ; Surgery Material Properties and Applications ; Engineering Technology and Methodologies ; Additive Manufacturing and 3D Printing Technologies
Authors: Benjamin Sirizzotti | Daniel Twum Addae | Emmanuel Agamloh | Annette von Jouanne | Alex Yokochi
Source: Energies (review, 2025-07-16)
Field: Materials Science — Materials Chemistry

A Review of Stator Insulation State-of-Health Monitoring Methods Tracking the state of the health of electrical insulation in high-power electric machines has always been a topic of great interest due to the high cost of downtime associated with unexpected failures. Over the years, there have been continuous efforts to develop and improve upon methods for testing and categorizing the health and expected lifetime of stator insulation. Methods such as partial discharge, surge, and dissipation factor testing are common examples. With the increasing use of high-specific-power electric machines in new applications such as traction and wind power generation, coupled with the increasing use of wide-bandgap semiconductor device-based inverters, some traditional methods for insulation health tracking may need adjustments or be combined with newer methods to remain accurate and useful. This paper outlines a review of the traditional insulation health tracking methods and newer methods and improvements that have been proposed to address the concerns and shortcomings of traditional methods. Stator ; Engineering ; Computer science ; Automotive engineering ; Electrical engineering ; Environmental science High voltage insulation and dielectric phenomena ; Electrical Fault Detection and Protection ; Power Transformer Diagnostics and Insulation
Authors: Mohd. Wirawan Putra Pamungkas | Meutia Fitri Hasan | V Lestari | hendra budiman | Aldo Setiawan
Source: Scientific Contributions Oil and Gas (article, 2025-12-17)
Field: Chemistry — Analytical Chemistry

Impact Assessment of Wax Gelation Fluid Pressure and Temperature: Designing Long-Term Preventive Solutions Paraffinic precipitation presents a pervasive flow challenge, specifically impacting this light crude oil (API 34.85 °) system, particularly within a pipeline (length 1153 m) operating in cold environments. This study first rigorously assessed the critical impact of flow parameters, confirming the fluid’s thermal profile drops below the pour point (31.67 oC) at a crucial distance of 439.24 m from the wellhead, initiating severe wax gelation. Flow analysis further confirms a detrimental laminar flow regime (NRe = 1262), which, coupled with a significant total pressure drop of 0.155 psia/100 ft along the pipeline, exacerbates the tendency for solidified paraffins to accumulate due to insufficient shear stress. To address this, the research successfully validated a cost-effective, long-term preventative solution: a locally fabricated sand heater with an energy capacity of 175,000 kcal/h. Empirical field testing confirmed the intervention provides a substantial net thermal elevation of 8.5 oC. Subsequent thermal modeling for long-term operational reliability identified the optimal sand-heater placement distance to be within 300 m of the wellhead. This strategic placement ensures the fluid temperature consistently remains safely above the pour point, effectively mitigating the risk of premature wax gelation and guaranteeing uninterrupted system integrity and sustained hydrocarbon production. Wax ; Pressure drop ; Laminar flow ; Thermal ; Flow (mathematics) ; Flow assurance ; Drop (telecommunication) ; Pipeline (software) Petroleum Processing and Analysis ; Drilling and Well Engineering ; Hydraulic Fracturing and Reservoir Analysis
Authors: Jendrian Riedel | Lea Dierker | Antoine Eyram Kwame | Keith Wagner | Jonas J. Unterholzner | Jan‐Henning Dirks | Dorothea Brüggemann
Source: Advanced Engineering Materials (article, 2025-12-01)
Field: Materials Science — Surfaces, Coatings and Films

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions In this article, a general introduction to the fundamental principles of environmental scanning electron microscopy (ESEM) is given and its advantages in comparison to conventional SEM is illustrated through selected application examples from life sciences, focusing on biomaterial research and biology. Conventional SEM is a well‐established and widely used technique to characterize material properties and surface structures in a variety of research fields. However, due to the high vacuum conditions used in conventional SEM, imaging delicate, nonconductive, and/or wet samples—which are particularly prevalent in life sciences—normally requires extensive sample preparation, such as critical point drying and sputter‐coating, which can alter the sample properties. Here, ESEM offers a convenient solution, where nonconductive and wet biological samples can be imaged in their near‐native state almost without sample preparation. The advantages of ESEM compared to conventional SEM for life sciences based on examples from literature and new application examples from biomaterials science and zoology are illustrated. Finally, recent advances in automated imaging and AI‐based image processing are beginning to extend the current limits of resolution and sample stability in ESEM, potentially enabling more precise, real‐time, and less damaging imaging of hydrated and beam‐sensitive materials in future studies. Environmental scanning electron microscope ; Biological materials ; Scanning electron microscope ; Characterization (materials science) ; Sample preparation ; Biomaterial ; Biological specimen ; Scanning probe microscopy Electron and X-Ray Spectroscopy Techniques ; Advanced Electron Microscopy Techniques and Applications ; Advanced Materials Characterization Techniques
Authors: J Qiu | Xirui Zhang | Jie Guo | Jianbo Xiao | Lina Zhang | Shaohua Fu | Ruiwu Xu | Chao Cao
Source: AgriFood Journal of Agricultural Products for Food (article, 2025-10-12)
Field: Chemistry — Analytical Chemistry

Guideline for Non‐Destructive Testing of Agricultural Product Quality Using Spectral Imaging Technology ABSTRACT This research guide focuses on the application of spectral imaging technology in the detection of fruit and vegetable quality, and expounds its core advantages as a non‐destructive technology for detecting fruit and vegetable quality. The technology mainly integrates spectroscopy and imaging technology to obtain a three‐dimensional data cube containing spatial and spectral information, so as to achieve precise detection of fruit and vegetable surface damage, sugar content, hardness, pesticide residue, nutritional components and internal defects. Existing research data show that the accuracy of hyperspectral imaging (HSI) and near‐infrared spectroscopy (NIRS) related technologies in apple bruise detection exceeds 90%; the prediction error of watermelon sugar content is ≤ 0.72 Brix; and the classification accuracy of pesticide residues in Gannan navel oranges is higher than 85%. The advantages of spectral imaging technology in detecting fruit and vegetable quality are reflected in its non‐destructiveness, which can effectively avoid destructive sampling; it can realize high‐throughput detection; and it has multi‐parameter analysis capability, which can simultaneously detect soluble solids content (SSC), acidity, hardness and other indicators in fruits and vegetables. This guide introduces the specific operation process of spectral imaging technology for detecting fruit and vegetable quality, mainly covering the selection of detection equipment, data collection and preprocessing, feature extraction and model establishment. This guide will provide scientific and efficient technical solutions and insights for modern agricultural quality detection. Hyperspectral imaging ; Precision agriculture ; Spectral imaging ; Imaging spectroscopy ; Quality (philosophy) ; Imaging technology ; Imaging spectrometer ; Process (computing) Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Water Quality Monitoring and Analysis
Authors: Razieh Motamedi-Khozani (21011021) | Samira Abbasi-Moayed (9628085) | Mohammad Reza Hormozi-Nezhad (9628088)
Source: Figshare (article, 2025-04-07)
Field: Materials Science — Materials Chemistry

Single-Component Double-Emissive Ratiometric Probe:Toward Machine Learning Driven Detection and Discrimination of NeurologicalBiomarkers This study presents an attractive single-component ratiometric fluorescent sensor that utilizes the oxidation of BSA-protected Au nanoclusters (BSA-Au NCs) by <i>N</i>-Bromosuccinimide (NBS) to detect catecholamine neurotransmitters and their metabolites, which are critical biomarkers for neurological diseases like neuroblastoma, pheochromocytomas, and paragangliomas. In this detailed sensing platform, NBS induces a noticeable fluorescence change in the emission of BSA- Au NCs, including the extinction of the emission peak at 650 nm and the simultaneous appearance of an emission peak at 450 nm. This shift represents a clear transition in the emission color of the probe from red to blue. The oxidation of Au NCs offers a promising approach for developing a ratiometric probe using a single fluorophore, eliminating the need to combine two individual fluorophores. The presence of neurogenic biomarkers inhibits the oxidation of BSA-Au NCs, varying with the concentration and identity of each analyte, making distinct changes in the spectral profiles along with vivid color variations. Spectral changes and RGB data derived from emission colors were analyzed using machine learning techniques, specifically linear discriminant analysis (LDA) for classification and partial least-squares regression (PLS-R) for multivariate calibration. Results from LDA and PLS-R highlighted the strong potential of the designed sensor for differentiating and quantifying these biomarkers. Furthermore, the successful application of this sensor in detecting and distinguishing these analytes in human urine provides valuable insights for clinical analysis in screening and diagnosing neurological disorders. Linear discriminant analysis ; Analyte ; Fluorescence ; Pattern recognition (psychology) ; Nanoclusters ; Limiting Nanocluster Synthesis and Applications ; Advanced Nanomaterials in Catalysis ; Gold and Silver Nanoparticles Synthesis and Applications
Authors: Thomas L. Hackett | Henk‐Willem Veltkamp | Remco G.P. Sanders | Tom van den Berg | Dennis Alveringh | Jurriaan Schmitz
Source: IEEE Sensors Journal (article, 2025-05-28)
Field: Materials Science — Materials Chemistry

A Silicon-Based Combined Hot-Element and Calorimetric Anemometer A micro-fabricated silicon-based anemometer has been improved by employing a differential calorimetric measurement technique, while additional sensing information is extracted from the constant temperature heater. This combination improves the measurement range, as established experimentally and supported by finite element simulations. The straight-forward three mask fabrication process is also presented. The use of a lock-in amplifier to read out the sensing elements also provides additional information on the wind direction contained in the phase shift. With this information and theoretical basis, the combined anemometer leads to an increased measurement range and an improved <1% full-scale precision. Anemometer ; Silicon ; Materials science ; Electronic engineering ; Optoelectronics ; Engineering ; Physics ; Mechanics Thermal properties of materials ; Advanced MEMS and NEMS Technologies ; Superconducting and THz Device Technology
Authors: J. Andrew Breuer | Josef Honerkamp | Andreas Roppertz
Source: Chemie Ingenieur Technik (article, 2025-10-14)
Field: Materials Science — Materials Chemistry

On the Usability of Pt/Al <sub>2</sub> O <sub>3</sub> Catalysts for Exhaust Gas After Treatment in Ammonia Combustion Engines Abstract Ammonia combustion engines for marine vessels are attractive due to zero CO 2 emissions but can lead to increased NH 3 and NO x fractions in the exhaust. An NH 3 /NO x ratio exceeding 1 renders conventional selective catalytic reduction systems inadequate for sufficient emission reduction. This study investigates whether the required stoichiometry can be achieved using Pt‐based oxidation catalysts, with only a portion of the exhaust stream directed through the catalyst in a simulated bypass configuration. Catalyst loading, platinum content, temperature, and space velocity were systematically varied with the aim of minimizing N 2 O formation concurrently. A Gaussian process model was employed to interpolate activity and selectivity between experimental data points. The study identifies the factors influencing N 2 O generation and discusses potential conditions for the application of Pt‐based catalysts in ammonia combustion systems. Catalysis ; Combustion ; Exhaust gas ; Ammonia ; Platinum ; Stoichiometry ; Selectivity ; Space velocity Catalytic Processes in Materials Science ; Advanced Combustion Engine Technologies ; Industrial Gas Emission Control
Authors: Widya Novita | Eka Winda
Source: Journal of Chemical Learning Innovation. (article, 2025-06-25)
Field: Chemistry — Physical and Theoretical Chemistry

Decoding Misconceptions in Thermochemistry: Insights from the Four-Tier Diagnostic Test Purpose of the study: The purpose of this study was to determine whether or not there were student misconceptions and their causes, as well as to determine the percentage of student misconceptions on thermochemistry material measured using the Four-Tier Diagnostic Test Instrument. Methodology: This research is a descriptive study where the sample in this study was taken using purposive sampling technique. The subjects in this study were students of grade XI and XII of State Islamic High School 1 Pekanbaru. Data collection techniques used in this study were the Four-Tier Diagnostic Test, observation, interviews and documentation. Main Findings: The study revealed 4% of grade XI and 13% of grade XII students had misconceptions in thermochemistry. Misconceptions were higher in grade XII for basic concepts (19.7%) and reaction types (13.4%), while grade XI struggled more with enthalpy calculations (6.3%). Understanding remained limited across key concepts. Novelty/Originality of this study: It can help increase teachers' insight in the teaching and learning process, so that teachers are more aware of the explanation of the material that sometimes makes students wrong and experience misconceptions. In addition, teachers can also provide follow-up to students if misconceptions occur. Nonprobability sampling ; Test (biology) ; Diagnostic test ; Sample (material) ; Data collection ; Sampling (signal processing) ; Multiple choice ; Sample size determination Various Chemistry Research Topics ; Computational Drug Discovery Methods ; Machine Learning in Materials Science