jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: D. Vinay Kumar | B.M. Rajaprakash | Bupesh Kumar K
Source: International Journal for Research in Applied Science and Engineering Technology (article, 2024-07-04)
Field: Materials Science — Polymers and Plastics

Experimental Design and Analysis of MWCNT, Nanoclay and Zinc Oxide Nanofillers on Bi-directional-Chopped Stranded Glass Fibre Reinforced Epoxy matrix on Mechanical Properties using Multi Response Performance Index Approach Abstract: The composite manufactured using nanofillers have found to posses better properties in certain application. In the present work, MWCNTs, Nanoclay and ZnO have been used in GFRP. The developed material can be a promising replacement of composites being used for structural applications in the aerospace sector and space technology apart from the automotives to impart light weight, superior bending and tensile strength. The methodology governing the design of experiments plays a vital role in optimization. Experimental design with three Nanofillers as parameters at three levels for optimization of output characteristics with superior properties for structural applications was done using Taguchi’s L9 and L18 orthogonal arrays. Multi Response Performance Index-MRPI technique has been used for determination of maximum optimal level in the present study.Testing for the manufactured composite was conducted to obtain the ultimate tensile strength and flexural bending strength. ANOVA Analysis was performed both for L9 and L18 arrays and respective MRPI’s. The effects of three nanofillers infused GFRP was investigated and their impact on tensile and flexural strength were evaluated.MRPI indicated single maximum optimal level for both the output characteristics. As GFRP play very important role in engineering application for Stealth, mechanical, thermal properties, resistance to fire by limiting oxygen and retarding flame, several human lifes travelling and working in civil, commercial as well as defence air transport can be saved and could even develop drone and aircraft meant to escape enemy countries radar tracing and monitoring range Materials science ; Epoxy ; Composite material ; Zinc ; Glass fiber ; Oxide ; Matrix (chemical analysis) ; Metallurgy Conducting polymers and applications ; Electrospun Nanofibers in Biomedical Applications ; Dielectric materials and actuators
Authors: Zhenlan Pan | Jihui Zheng | Jing An
Source: Mathematical Methods in the Applied Sciences (article, 2024-09-11)
Field: Materials Science — Materials Chemistry

Stability analysis and error estimation based on difference spectral approximation for Allen–Cahn equation in a circular domain For the first time, we propose an efficient difference spectral approximation for Allen–Cahn equation in a circular domain. Firstly, we introduce the polar coordinate transformation and derive the equivalent form of Allen–Cahn equation under this coordinate system, as well as the corresponding essential polar condition. Then, by using first‐order Euler and second‐order backward difference methods in the temporal direction, we deduce the first‐order and second‐order semi‐implicit schemes, based on which the first‐order and second‐order fully discrete schemes are established by employing Legendre‐Fourier spectral approximation in the spatial direction. In addition, the energy stability and error estimations for the two types of numerical schemes are theoretically proved. Finally, we provide some numerical examples, the results of which demonstrate the stability and convergence of the algorithm. Mathematics ; Allen–Cahn equation ; Stability (learning theory) ; Mathematical analysis ; Domain (mathematical analysis) ; Applied mathematics ; Error analysis Solidification and crystal growth phenomena ; Advanced Mathematical Modeling in Engineering ; Differential Equations and Numerical Methods
Authors: Zhiyi Hu | Jingyan He | Runchuan Ye | Xue Lin | Feifei Zhou | Nanyang Xu
Source: Micromachines (article, 2024-07-13)
Field: Materials Science — Materials Chemistry

Suppressing Thermal Noise to Sub-Millikelvin Level in a Single-Spin Quantum System Using Realtime Frequency Tracking A single nitrogen-vacancy (NV) center in a diamond can be used as a nanoscale sensor for magnetic field, electric field or nuclear spins. Due to its low photon detection efficiency, such sensing processes often take a long time, suffering from an electron spin resonance (ESR) frequency fluctuation induced by the time-varying thermal perturbations noise. Thus, suppressing the thermal noise is the fundamental way to enhance single-sensor performance, which is typically achieved by utilizing a thermal control protocol with a complicated and highly costly apparatus if a millikelvin-level stabilization is required. Here, we analyze the real-time thermal drift and utilize an active way to alternately track the single-spin ESR frequency drift in the experiment. Using this method, we achieve a temperature stabilization effect equivalent to sub-millikelvin (0.8 mK) level with no extra environmental thermal control, and the spin-state readout contrast is significantly improved in long-lasting experiments. This method holds broad applicability for NV-based single-spin experiments and harbors the potential for prospective expansion into diverse nanoscale quantum sensing domains. Spins ; Nitrogen-vacancy center ; Noise (video) ; Spin (aerodynamics) ; Quantum sensor ; Magnetic field ; Tracking (education) ; Physics ; Diamond ; Electric field ; Thermal ; Materials science ; Optoelectronics ; Quantum ; Quantum network ; Condensed matter physics ; Quantum computer ; Computer science ; Quantum mechanics Diamond and Carbon-based Materials Research ; Advanced Fiber Laser Technologies ; Mechanical and Optical Resonators
Authors: Олександр Харченко | Oleksii Savon
Source: Наука і техніка сьогодні (article, 2024-08-02)
Field: Materials Science — Materials Chemistry

AI-POWERED INTELLIGENT CENTERS: OPTIMIZING INFORMATION INFRASTRUCTURE OF UNIVERSITIES AMID WAR The core objective of this article is to investigate how AI-powered intelligent centers can optimize the information infrastructure of universities amid wartime challenges, particularly focusing on Ukrainian institutions facing unprecedented disruptions.The scientific problem addressed is the need for robust and adaptive information systems that sustain educational activities, ensure data security, and provide real-time support to students and staff.The research aims to provide a roadmap for universities to maintain and improve their operations and educational outcomes despite the ongoing conflict.The research reveals that AI-powered intelligent centers significantly enhance educational experiences, operational efficiency, and institutional resilience.Key features identified include data integration, predictive analytics, virtual assistants, adaptive learning, administrative automation, AI-driven cybersecurity, intelligent tutoring systems, research support, resource management, and personalized communication.These features collectively address critical needs within the university ecosystem, enabling better decision-making, resource optimization, and personalized education.The findings offer valuable insights for policymakers and educational institutions.Investments in high-performance servers, machine learning models, AI chatbot software, adaptive learning platforms, RPA tools, AI-driven cybersecurity solutions, and intelligent tutoring software are essential.Additionally, developing disaster recovery plans, enhancing cybersecurity measures, securing international grants, and providing mental health support services are crucial for navigating wartime challenges. 7(35) 2024 489This study distinguishes itself by addressing the unique context of war-torn regions, emphasizing the transformative potential of AI in maintaining and advancing educational infrastructure.It contributes significantly to understanding contemporary security challenges and offers practical solutions for enhancing the resilience and efficiency of universities amid conflict. Engineering management ; Engineering ; Political science ; Aeronautics ; Business ; Computer science Advanced Materials and Semiconductor Technologies
Authors: Raúl Zegarra | Katherine Susan Llanos Chacaltana | Alfredo César Larios Franco | Janett Deisy Julca Flores
Source:  (article, 2024-01-01)
Field: Chemistry — Analytical Chemistry

STRATEGY BASED ON ARTIFICIAL VISION AND SOM NET FOR THE CLASSIFICATION OF MARBLED MEAT Marbled meat ; Artificial intelligence ; Computer science ; Net (polyhedron) ; Artificial vision ; Computer vision ; Pattern recognition (psychology) ; Machine learning ; Mathematics ; Biology Spectroscopy and Chemometric Analyses
Authors: Disha Chugh
Source:  (article, 2024-06-02)
Field: Materials Science — Materials Chemistry

METHODOLOGY TO QUANTIFY CONTRIBUTION OF VARIOUS FEEDTHROUGH SOURCES IN EPI-SEALED DEVICES We introduce a methodology for accurately assessing the relative contribution of various feedthrough sources to the overall feedthrough capacitance ( ) in a capacitively transduced MEMS device.We illustrate this method using an epi-sealed Double-Ended-Tuning-Fork (DETF) device.We also report a counter intuitive result that suggests that segmented transducing electrodes perform better in terms of signal-to-feedthrough ratio than conventionally advocated fully extended electrodes.Additionally, we demonstrate an innovative technique for feedthrough signal cancellation.This new approach improves our ability to optimize device-& PCB-design for minimizing feedthrough effects in a general MEMS device. Feedthrough ; Computer science ; Materials science ; Environmental science ; Optoelectronics Silicone and Siloxane Chemistry ; Structural Analysis of Composite Materials
Authors: Nikita Bhakta | Colleen B. Maxwell | Shimon Atunde | Jatinderpal K. Sandhu | Oliver C. Slingsby | Emer M. Brady | Donald J. L. Jones | Leong L. Ng
Source: Rapid Communications in Mass Spectrometry (article, 2024-09-17)
Field: Chemistry — Spectroscopy

An optimised method to isotopically label pure synthetic peptides ‘in‐house’ for absolute quantification in bottom‐up proteomics The application of the 'in-house' labelled standards in generating calibration curves to quantify endogenous peptide concentrations is just as effective as using the synthetically sourced standards while also having great cost reduction implications as well as saving time spent waiting for peptides to arrive. The protocol is highly adaptable and can be customized to fit the specific setup of any laboratory, maximizing achievable labelling efficiencies. Chemistry ; Labelling ; Mass spectrometry ; Protocol (science) ; Chromatography ; Tandem mass spectrometry ; Throughput ; Quantitative proteomics ; Process engineering ; Biochemical engineering ; Proteomics ; Combinatorial chemistry ; Computer science ; Biochemistry Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Metabolomics and Mass Spectrometry Studies
Source: ARPN Journal of Engineering and Applied Sciences (article, 2024-12-27)
Field: Chemistry — Inorganic Chemistry

Comparative analysis of coconut husk and laminated plastic packaging co-pyrolysis: Response surface methodology and artificial neural network approach The co-pyrolysis of plastic with biomass offers a promising solution to mitigate environmental health concerns associated with plastic waste. This technique has shown effectiveness in addressing waste issues by generating fuel oil from plastic and biomass waste. Many researchers have utilized pyrolysis technology, employing various optimization techniques to produce significant amounts of pyrolytic oil. This study aims to compare predictions of the percentage mass oil yield using an artificial neural network (ANN) and response surface methodology (RSM). Before the pyrolysis process, a 3k factorial Box-Behnken Design was employed to determine the number of experiments required. In RSM, a 2D contour plot illustrated the correlation of each parameter with the percentage oil yield. ANOVA analysis revealed the significance of the produced quadratic mathematical model, with a p-value below 0.05. Through the ANN modeling, the temperature, particle size, and the percentage of LPP were employed as the input, while two neurons were employed in 1 hidden layer. The resulting percentage oil yields were calculated, indicating a significant influence from temperature and the percentage of laminated plastic packaging. Simulation results from the ANN demonstrated strong agreement with a correlation coefficient of 99.5%, surpassing the 90.71% correlation coefficient observed in RSM. This underscores the advantage of using ANN for predictive modeling. Husk ; Response surface methodology ; Artificial neural network ; Pyrolysis ; Materials science ; Process engineering ; Waste management ; Computer science ; Engineering ; Artificial intelligence ; Botany ; Machine learning ; Biology Coconut Research and Applications
Authors: Duygu Sezen Polat | Vera E. Buurman | Dirk J. Mulder | Danqing Liu
Source: Chemistry - A European Journal (article, 2024-05-22)
Field: Chemistry — Organic Chemistry

Cover Feature: Dual‐Responsive Gradient Structured Actuator via Photopolymerization‐Induced Diffusion (Chem. Eur. J. 33/2024) Invited for the cover of this issue is the group of Danqing Liu and co-workers at the University of Eindhoven University of Technology. The image depicts two-step photopolymerization-induced diffusion for the fabrication of gradient-structured dual-responsive thiol-ene networks. Read the full text of the article at 10.1002/chem.202400515. Photopolymer ; Actuator ; Diffusion ; Dual (grammatical number) ; Cover (algebra) ; Fabrication ; Materials science ; Computer science ; Polymer ; Art ; Physics ; Composite material ; Engineering ; Mechanical engineering ; Artificial intelligence ; Literature ; Thermodynamics ; Medicine Advanced Polymer Synthesis and Characterization ; Hydrogels: synthesis, properties, applications ; Advanced Materials and Mechanics
Authors: Safaa A. Ghadhban | Hussein Al-Gburi | Isbeyeh W. Maid
Source: International Journal of Heat and Technology (article, 2024-12-31)
Field: Materials Science — Materials Chemistry

Exploring Experimentally Al2O3 Nanoparticles Impact on a Four-Stroke Diesel Engine's Performance and Emissions This work demonstrates the enhancement of the performance of engine and emission features by introducing nanoparticles into gasoline.Aluminum oxide (Al2O3) has been utilized as an additive to the fuel in a 4-stroke diesel engine with a single cylinder and compression ignition.Three different weight percentages of Al2O3 were evaluated (0.25% Al2O3-Di, 0.5% Al2O3-Di, and 0.75% Al2O3-Di.)compared with pure diesel fuel.The findings suggest that using nano-diesel and higher nanoparticles amount in diesel fuel contributed to enhancing engine performance.The engine brake thermal efficiency demonstrated a notable improvement, while the brake-specific fuel consumption (Bsfc) demonstrated a reduction of 3.4% compared with pure diesel fuel.Furthermore, the increase in (Al2O3) amount in diesel fuel causing a decrease in CO, HC, and NOx releases by 13%, 16.9%, and 28.8%, respectively, compared with pure diesel fuel.Yet carbon dioxide emissions rose by 21.4% compared with those using pure diesel fuel.Furthermore, the findings revealed that nonfuel with 0.75% nanoparticles performs better than pure diesel fuel. Four-stroke engine ; Two-stroke engine ; Diesel engine ; Stroke (engine) ; Automotive engineering ; Nanoparticle ; Diesel fuel ; Materials science ; Environmental science ; Nanotechnology ; Engineering ; Mechanical engineering ; Chemistry ; Internal combustion engine ; Combustion Catalytic Processes in Materials Science ; Biodiesel Production and Applications ; Vehicle emissions and performance
Authors: Yun Lai | Hao Luo | Jie Luo | Zhihui Zhang | Chao Wu | Quan Li | Wei Liu | Ru‐Wen Peng | Mu Wang | Hongqiang Li
Source: Research Square (preprint, 2024-03-21)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Dielectric Metamaterials with Effective Self-duality and Full-polarization Omnidirectional Brewster Effect Brewster ; Metamaterial ; Brewster's angle ; Dielectric ; Omnidirectional antenna ; Polarization (electrochemistry) ; Duality (order theory) ; Materials science ; Optics ; Physics ; Optoelectronics ; Mathematics ; Computer science ; Telecommunications ; Chemistry ; Pure mathematics Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Electromagnetic Scattering and Analysis
Authors: Jiajun Yu | Ali Mollaebrahimi | S. Ayet | T. Dickel | W. R. Plaß | H. Wilsenach | Sönke Beck | Z. W. Ge | H. Geißel | C. Hornung | Andrew Jacobs | Gabriella Kripkó-Koncz | A. A. Kwiatkowski | Meetika Narang | C. Scheidenberger | Jaden Sequeira | C. Walls
Source: Review of Scientific Instruments (article, 2024-08-01)
Field: Chemistry — Spectroscopy

A compact ion source combining electron-impact and thermal ionization for multiple-reflection time-of-flight mass spectrometry A compact ion source combining electron impact and thermal ionization has been developed and commissioned in two Multiple-Reflection Time-Of-Flight Mass Spectrometer (MR-TOF-MS) setups at the Fragment Separator Ion Catcher at the GSI Helmholtz Centre for Heavy Ion Research, Darmstadt, Germany, and at TRIUMF's Ion Trap for Atomic and Nuclear science at TRIUMF Canada's particle accelerator center, Vancouver, Canada. The ion source is notable for its compact dimensions of 50 mm in height and 68 mm in diameter. The ion source is currently in daily operation at both facilities. Design, simulations, and results of combining ions from thermal and electron-impact ionization of different gases (perfluoropropane and sulfur hexafluoride) are presented in this work. The systematic effects of heating power on the thermal source were studied in detail. The source has demonstrated stable and long-term production of reference ions over a wide mass range for the MR-TOF-MS. This versatile ion source has also been used to optimize and investigate the transport of ions with different chemical reactivity and ionization potentials. Mass spectrometry ; Ion source ; Thermal ionization mass spectrometry ; Ion ; Electron ionization ; Ionization ; Time of flight ; Reflection (computer programming) ; Thermal ionization ; Time-of-flight mass spectrometry ; Materials science ; Electron ; Atomic physics ; Physics ; Optics ; Computer science ; Nuclear physics Mass Spectrometry Techniques and Applications ; Ion-surface interactions and analysis ; Analytical chemistry methods development
Authors: Brian C. Searle | Ariana E. Shannon | Rachael Teodorescu | No-Joon Song | Lilian R. Heil | Cristina C. Jacob | Philip M. Remes | Zihai Li | Mark P. Rubinstein
Source: Research Square (preprint, 2024-07-19)
Field: Chemistry — Spectroscopy

Rapid assay development for low input targeted proteomics using a versatile linear ion trap Trap (plumbing) ; Ion trap ; Proteomics ; Quadrupole ion trap ; Computer science ; Computational biology ; Chemistry ; Chromatography ; Physics ; Biology ; Mass spectrometry ; Biochemistry Advanced Proteomics Techniques and Applications ; Mass Spectrometry Techniques and Applications ; Advanced Biosensing Techniques and Applications
Authors: Pedro Paulo Rosa de Paula | Lucas Benini | José Mauro Moraes | Sérgio Souto Maior Tavares
Source: The Journal of Engineering and Exact Sciences (article, 2024-01-05)
Field: Materials Science — Materials Chemistry

Avaliação da rugosidade superficial no fresamento frontal do ferro fundido nodular austemperado (ADI) O emprego do ferro fundido nodular austemperado (austempered ductile iron – ADI) em projetos de engenharia tem ganhado notoriedade por conta das suas propriedades mecânicas como alta resistência e dureza aliada a alta ductilidade. A ascensão da utilização deste material nas indústrias de construção civil, mineração, automotiva, agrícola e ferroviária fez crescer a demanda por estudos mais elaborados quanto a usinagem deste material. No fresamento frontal (ou de topo) do ADI, os efeitos térmicos e mecânicos que ocorrem durante a usinagem podem causar alterações da qualidade das superfícies usinadas e na sua dureza. Este trabalho tem por objetivo estudar a relação entre os parâmetros de corte utilizados no fresamento frontal na qualidade das superfícies usinadas do ADI. Os ensaios de fresamento empregaram uma ferramenta de metal-duro e variou-se a velocidade de corte, a profundidade de corte e uso ou não fluido lubri-refrigerante. Posteriormente foram mensurados os parâmetros de rugosidade Ra e Rz para cada condição avaliada. A avaliação da dureza Vickers das amostras usinadas complementaram o estudo. Considerando todas as condições de usinagem avaliadas neste trabalho, todos resultados de rugosidade Ra ficaram abaixo de 1,2 ?m e todos os resultados de rugosidade Rz ficaram abaixo de 5 ?m, indicando um excelente acabamento superficial do ADI. Physics ; Humanities ; Art Metal Alloys Wear and Properties ; Microstructure and Mechanical Properties of Steels
Authors: Zuraini Othman | Sharifah Sakinah Syed Ahmad | Nur Hajar Zamah Shari | Azizi Abdullah | Anton Satria Prabuwono
Source: Journal of Advanced Research in Applied Sciences and Engineering Technology (article, 2024-10-07)
Field: Chemistry — Analytical Chemistry

Analysis of Adaptive Threshold Value using Weighted Global and Local Approach Method for Herbs Leaves Image Data The recognition of the health benefits linked to integrating herbs as food constituents has gained substantial attention. Herbs possess the potential to amplify flavours without the adverse health consequences associated with other ingredients. This paper explores the integration of image analysis techniques, particularly edge detection and adaptive thresholding methods, to revolutionize plant identification and research, particularly in the context of herbal leaves. A novel Weighted Global and Local Approach is introduced, aiming to balance the extraction of broad image features with the preservation of intricate details, thereby enhancing segmentation precision. The integration of digital image processing into various domains underscores its importance, with image segmentation as a foundational aspect, aiding in the extraction of relevant information from images. Edge detection techniques, particularly the Canny edge detector, are pivotal in this process due to their capacity to enhance signal-to-noise ratios, resist noise, and remove noise through smoothing methods. The proposed method is intended to dynamically change threshold values by combining global and local features, resulting in accurate segmentation that captures both broad and fine-grained aspects of herbal leaves. Experimental results suggest that the method outperforms existing approaches, highlighting its potential for botanical research, medicinal plant identification, and image analysis applications. Mathematics ; Value (mathematics) ; Image (mathematics) ; Statistics ; Pattern recognition (psychology) ; Artificial intelligence ; Computer science Spectroscopy and Chemometric Analyses
Authors: Utkarsh Pratiush | Jinyuan Yao | Martí Checa | Ying Liu | Sergei V. Kalinin | Yongtao Liu
Source: Microscopy and Microanalysis (article, 2024-07-01)
Field: Materials Science — Materials Chemistry

Constrained DKL to Accelerate Structure-Property Relationship Discovery in Automated Electron and Scanning Probe Microscopy Scanning electron microscope ; Property (philosophy) ; Materials science ; Electron microscope ; Nanotechnology ; Crystallography ; Chemistry ; Optics ; Physics ; Composite material ; Philosophy Machine Learning in Materials Science ; Advanced Electron Microscopy Techniques and Applications ; Force Microscopy Techniques and Applications